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Investigating the spatial imprint of sense of place dimensions among foreign residents of Lisbon

Abstract

Place is a part of the geographic space which people have imbued with symbols and connotations unfolded through psychological mechanisms. Places carry meanings for individuals, communities or even nations evidenced by bonds referred collectively as sense of place. Dissecting sense of place can aid planners in providing a social-psychological layer of the world characterized by the distinct relationships people possess towards the physical settings. In this research, different dimensions of sense of place experienced by foreign residents in the city of Lisbon were investigated through a map-based survey and following spatial analysis. First, the map-based survey was structured on sense of place dimensions drawn from the environmental psychology and human geography research. The dimensions examined here were: (i) place dependence – functional attachment; (ii) place awareness – familiarity and exploration; (iii) place identity – special bonds and self-identity (iv) place inherited – rootedness and belongingness. The survey was shared online among international residents of the city and hand-drawn polygons were processed in order to represent the spatial lay-outs of sense of place. Subsequently, answers were split into two participant categories: short-terms and long-terms. Overlay analysis, spatial comparison metrics, cluster evaluation, statistics and the confection of map products were carried out in order to compare and visualize the distinct sense of place components. Results, discussion and interpretation were brought forward through comparing dimensions between participant groups; between dimensions themselves, as well as identifying meaningful places within the urban landscape. The spatial imprint of sense of place in the specified context of study provided insights regarding the distinction between groups. Long-term and short-term dwellers’ geographic dimensions of sense of place were found to have different patterns, properties and characteristics. Lastly, similar to other works within the same scope, this research asserts the potential of using GIS in providing new perspectives and methodologies from which humanities research can greatly benefit.

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Investigating the spatial imprint of sense of place dimensions among foreign residents of Lisbon

Author: Tang, Vicente de Azevedo
Year: 2020
Source: https://run.unl.pt/bitstream/10362/93645/1/TGEO0225.pdf
i
In es iga ing he spa ial imp in o sense o place dimensions
among o eign esiden s o Lisbon
Vicen e de Aze edo Tang
ii
In es iga ing he spa ial imp in o sense o place dimensions
among o eign esiden s o Lisbon
Disse a ion supe ised by
Ma co Oc á io T indade Painho, PhD
NOVA In o ma ion Managemen School
Uni e sidade No a de Lisboa
Lisbon, Po ugal
and co-supe ised by
S en Cas eleyn, PhD
GEOTEC
Uni e si a Jaume I
Cas elló, Spain
Albe Acedo Sánchez, PhD
Depa men o Geog aphy and En i onmen al Managemen
Uni e si y o Wa e loo
Wa e loo, Canada
Feb ua y 2020
iii
Decla a ion o O iginali y
I decla e ha he wo k desc ibed in his documen is my own and no om someone else.
All he assis ance I ha e ecei ed om o he people is duly acknowledged and all he
sou ces (published o no published) a e e e enced.
This wo k has no been p e iously e alua ed o submi ed o NOVA In o ma ion
Managemen School o elsewhe e.
Lisbon, Feb ua y 10, 2020
Vicen e de Aze edo Tang
[ he signed o iginal has been a chi ed by he NOVA IMS se ices]
i
Acknowledgemen s
Fi s , a special hanks o P o . Ma co Painho o all he ad ice and he pe sis en guidance
h oughou my hesis esea ch as well as o p o iding cons an suppo du ing he mas e s udies.
I am ex emely hank ul o D . Albe Acedo and D . S en Cas eleyn who helped wi h insigh s,
ecommenda ions and sugges ions du ing my s udy ca you .
I am g a e ul o he MSc. in Geospa ial Technologies p og am o he inc edible oppo uni y I was
gi en as a schola ship holde . The p og am gi ed me new esea ch pe spec i es, quali y
educa ion and amazing people ha ha e shaped his jou ney in o a li e ime expe ience.
To all he academics a NOVA IMS and IFGI who, in one way o ano he , inspi ed me o lea n new
skills, acqui e new knowledge and achie e new miles ones.
To he iends I ha e made in he p og am o all he mu ual suppo and companionship. A special
hanks o Ca los, I zá and Mihail o hei iendship and he knowledge exchanged.
To Má cio and Ca ol o hei chee ulness and lo e sen om housands o kilome e s away. To
ou iendship as a sou ce o mo i a ion o wo k ha d and gi e my bes .
Las ly, I would like o exp ess my immense g a i ude o my amily o hei unde s anding and
emo ional suppo h oughou ha dships as well as o encou aging me o pu sue my goals.
In es iga ing he spa ial imp in o sense o place dimensions
among o eign esiden s o Lisbon
Abs ac
Place is a pa o he geog aphic space which people ha e imbued wi h symbols and conno a ions
un olded h ough psychological mechanisms. Places ca y meanings o indi iduals, communi ies
o e en na ions e idenced by bonds e e ed collec i ely as sense o place. Dissec ing sense o
place can aid planne s in p o iding a social-psychological laye o he wo ld cha ac e ized by he
dis inc ela ionships people possess owa ds he physical se ings. In his esea ch, di e en
dimensions o sense o place expe ienced by o eign esiden s in he ci y o Lisbon we e
in es iga ed h ough a map-based su ey and ollowing spa ial analysis.
Fi s , he map-based su ey was s uc u ed on sense o place dimensions d awn om he
en i onmen al psychology and human geog aphy esea ch. The dimensions examined he e we e:
(i) place dependence – unc ional a achmen ; (ii) place awa eness – amilia i y and explo a ion;
(iii) place iden i y – special bonds and sel -iden i y (i ) place inhe i ed – oo edness and
belongingness. The su ey was sha ed online among in e na ional esiden s o he ci y and hand-
d awn polygons we e p ocessed in o de o ep esen he spa ial lay-ou s o sense o place.
Subsequen ly, answe s we e spli in o wo pa icipan ca ego ies: sho - e ms and long- e ms.
O e lay analysis, spa ial compa ison me ics, clus e e alua ion, s a is ics and he con ec ion o
map p oduc s we e ca ied ou in o de o compa e and isualize he dis inc sense o place
componen s.
Resul s, discussion and in e p e a ion we e b ough o wa d h ough compa ing dimensions
be ween pa icipan g oups; be ween dimensions hemsel es, as well as iden i ying meaning ul
places wi hin he u ban landscape. The spa ial imp in o sense o place in he speci ied con ex
o s udy p o ided insigh s ega ding he dis inc ion be ween g oups. Long- e m and sho - e m
dwelle s’ geog aphic dimensions o sense o place we e ound o ha e di e en pa e ns,
p ope ies and cha ac e is ics. Las ly, simila o o he wo ks wi hin he same scope, his esea ch
asse s he po en ial o using GIS in p o iding new pe spec i es and me hodologies om which
humani ies esea ch can g ea ly bene i .

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Keywo ds
Sense o place
Place a achmen
Geog aphic In o ma ion Science
Pa icipa o y GIS
Spa ial analysis
U ban in elligence
ii
Index o he ex
Acknowledgemen s .............................................................................................................................. i
Abs ac ..................................................................................................................................................
Index o he ex ................................................................................................................................... ii
Index o ables ...................................................................................................................................... ix
Index o igu es ...................................................................................................................................... x
Ac onyms ............................................................................................................................................. xii
1. In oduc ion .................................................................................................................... 1
1.1 Resea ch aspec s ...................................................................................................... 2
2 Li e a u e e iew ............................................................................................................ 3
2.1 Sense o place ........................................................................................................... 3
2.2 Dimensions o sense o place .................................................................................... 3
2.3 Ope a ionalizing sense o place ................................................................................. 5
2.4 Sense o place and geog aphic in o ma ion ............................................................... 6
2.5 Sense o place and mobili y ....................................................................................... 8
2.6 Theo e ical amewo k ............................................................................................... 9
3 Me hodology ................................................................................................................ 11
3.1 O e iew and s udy design ...................................................................................... 11
3.2 Su ey ..................................................................................................................... 11
3.2.1 Su ey123 and su ey s uc u e ...................................................................... 11
3.2.2 Su ey ca you ............................................................................................... 15
3.2.3 Su ey da a e ie al ........................................................................................ 16
3.2.4 Su ey da a p e-p ocessing ............................................................................. 16
3.3 Analysis ................................................................................................................... 17
3.3.1 O e lay analysis .............................................................................................. 17
3.3.2 Spa ial dis ibu ion ........................................................................................... 19
3.3.3 Ho spo analysis and high alues dis ibu ion ................................................... 19
3.3.4 S a is ics .......................................................................................................... 19
3.3.5 SPAEF – Spa ial E iciency Me ic .................................................................... 20
3.3.6 Clus e analysis ............................................................................................... 20
4 Resul s and discussion ................................................................................................ 21
4.1 Su ey ..................................................................................................................... 21
4.1.1 Su ey da a ..................................................................................................... 21
4.2 Spa ial dis ibu ion o sense o place dimensions ..................................................... 23
4.2.1 In ensi y o sense o place dimensions: i s map p oduc s ............................... 23
4.2.1.1 Place dependence ....................................................................................... 23
4.2.1.2 Place awa eness ......................................................................................... 24
4.2.1.3 Place iden i y ............................................................................................... 24
iii
4.2.1.4 Place inhe i ed ............................................................................................. 25
4.2.1.5 Sense o place: combined dimensions ......................................................... 25
4.2.2 Regions o collec i e sense o place: second map p oduc s ............................. 26
4.2.2.1 Place dependence ....................................................................................... 26
4.2.2.2 Place awa eness ......................................................................................... 27
4.2.2.3 Place iden i y ............................................................................................... 28
4.2.2.4 Place inhe i ed ............................................................................................. 29
4.2.2.5 Sense o place: combined dimensions ......................................................... 30
4.2.3 A eas o sense o place dimensions wi hin g oups: hi d map p oduc s ............ 31
4.3 Map p oduc s o ho spo s analysis and high alues dis ibu ion ............................... 31
4.3.1 Place dependence ........................................................................................... 31
4.3.2 Place awa eness ............................................................................................. 33
4.3.3 Place iden i y ................................................................................................... 34
4.3.4 Place inhe i ed ................................................................................................. 35
4.3.5 Sense o place: combined dimensions ............................................................. 37
4.4 Desc ip i e s a is ics ................................................................................................ 38
4.5 Compa ison s a is ics and Spa ial E iciency me ic .................................................. 38
4.5.1 Compa ison be ween g oups ........................................................................... 38
4.5.2 Compa ison wi hin g oups ............................................................................... 41
4.6 Clus e analysis ....................................................................................................... 43
5 Final discussion ........................................................................................................... 43
5.1 Sho - e m s. long- e m o eign dwelle s ................................................................ 43
5.2 Compa ison be ween sense o place dimensions ..................................................... 47
5.3 Limi a ions ............................................................................................................... 48
6 Conclusions .................................................................................................................. 48
6.1 Sho - e m esiden s’ sense o place ........................................................................ 49
6.2 Leng h o esidence and sense o place dimensions ................................................ 49
6.3 Final conside a ions and u u e wo k ........................................................................ 49
7 Bibliog aphic e e ences............................................................................................. 51
Annexes ................................................................................................................................. 55
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Index o ables
Table 4.1. Numbe o d awn polygons, polygons pe pa icipan a io and numbe o polygons
delimi a ed en i ely ou side Lisbon. .......................................................................................... 23
Table 4.2. Response a e o each assessed place dimension o sho - e m and long- e m g oups.
................................................................................................................................................ 23
Table 4.3. Desc ip i e s a is ics o all assessed sense o place dimensions by each pa icipan
g oup. ..................................................................................................................................... 38
Table 4.4. Values o selec ed a eas and hei a ea simila i y indices o each dimension. ........ 40
Table 4.5. SPAEF and Jacca d’s indices compa ing sense o place dimensions wi hin each
pa icipan g oup. .................................................................................................................... 42
4
employ ques ionnai es and ac o analysis o dis inguish dimensions o SoP. As poin ed ou
p e iously, he pionee s udy o Jo gensen and S edman [24] ca ied ou wi h lakesho e p ope y
owne s sugges ed he exis ence o h ee dimensions: a achmen , dependence and iden i y. The
au ho s de ine place a achmen as he “indi idual’s a ec i e o emo ional connec ion o a spa ial
se ing”; place iden i y as he “indi idual’s cogni ions, belie s, pe cep ions o hough s ha he sel
is in es ed in a pa icula spa ial se ing”; and place dependence as he “pe cei ed beha io al
ad an age o a spa ial se ing ela i e o o he se ings” [24], (p. 238).
A ce ain deg ee o con usion also a ises be ween he e ms sense o place and place a achmen ,
as he o me is mos ly used by human geog aphe s and he la e by en i onmen al psychologis s
[7],[25]. Shumake and Taylo ’s [26] de ini ion o place bonding is he “pe son-place bond ha
e ol es om speci iable condi ions o place and cha ac e is ics o people” [26] apud [27], (p.
221). En i onmen al psychologis s Scannell and Gi o d [16] in oduced hei s udy de ining
a achmen as he “bonding be ween indi idual and hei meaning ul en i onmen s”, (p. 1). Bo h
Shumake and Taylo ’s and Scannell and Gi o d’s concep ualiza ions a e he e o e simila o he
holis ic app oach o sense o place geog aphe s end o adop .
In ac , en i onmen al psychology is he main ield which has been del ing ho oughly in o he
di e en SoP dimensions using su eys based on psychome ic scales [21],[23],[24],[28]–[30]
Fo ins ance, Williams and Vaske [31] desc ibed and quan i ied meanings people c ea ed owa ds
di e en land use se ings. Thei analysis o ques ionnai e da a allowed he au ho s o dis inguish
wo dimensions o place a achmen : place dependence – he physical quali y o a place in e ms
o ea u es and condi ions ha can suppo desi ed ac i i ies, also called unc ional a achmen ;
and place iden i y – he symbolic quali y o a place in which a ec i e ela ionships de elop as a
componen o sel -iden i y, also called emo ional a achmen . The e o e, he au ho s assessed
place a achmen as one uni comp ised o wo dimensions: dependence and iden i y.
As o P e y e al. [10], hei concep ual and empi ical amewo k con ained h ee sepa a e
dimensions o he SoP cons uc : place a achmen , place iden i y and place dependence.
Hence, hei esea ch app oach is simila o he wo k o Jo gensen and S edman [24]. The
au ho s conside ed place iden i y (PI) as a “symbolic ex ensions o he sel ” (p. 275) buil h ough
expe iences wi hin he place; place a achmen (PA) as he emo ional bonding people ha e wi h
a place; and place dependence (PD) as a “goal-o ien ed beha io al componen ” (p. 275),
meaning he condi ions o a place o sa is y speci ic ac i i ies o he indi idual [10]. Al hough ea ly
wo ks ha e ea ed a achmen , iden i y and dependence as sepa a e cons uc s based on
a i ude heo y, o he s udies ha e demons a ed ha he PI and PD can be ea ed as dimensions
o PA. B own and Raymond [32] in es iga ed he alidi y o a wo-dimensional model o PA
combining landscape alues h ough explo a o y ac o analysis, de i ing high- eliabili y esul s.
Ne e heless, he au ho s men ion ha “we also ecognize o he esea che s conside place
a achmen as a sepa a e place dimension, o be examined alongside place iden i y and place
dependence” (p. 92).

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In addi ion o he de ini ions desc ibed p e iously, some au ho s also men ion and de ine o he
componen s o SoP, such as: place sa is ac ion – an o e all judgemen o he “pe cei ed quali y
o a se ing” [22] (p. 672); place amilia i y o place awa eness – he le el o knowledge people
ha e ega ding a ce ain place [7]; place commi men – he measu e o how much people a e
willing o con ibu e o hei local place [7]; na u e bonding – he connec ion o he na u al
en i onmen [33]. Resea ches ha e also d awn pa allels be ween place and social concep s. Fo
ins ance, Manzo and Pe kins [34] buil a amewo k on which social capi al and sense o place
dimensions we e connec ed based on hei cogni i e, a ec i e and beha io al subdimensions.
Using a simila heo e ical amewo k (Figu e 2.1) and exis ing li e a u e, Acedo e al. [21] ca e ully
schema ized he associa ions be ween social capi al and sense o place componen s. The
co ela ion be ween he cons uc s was e iden due o he common a iables used o build hese
dimensions.
Figu e 2.1. Theo e ical amewo k used by Acedo e al. o es ablishing ela ionships be ween social capi al
and sense o place dimensions (modi ied scheme om Acedo e al. [21]).
The exis ing amewo ks o analyzing and de ining SoP dimensions in place esea ch we e
summa ized by Rolle o and Piccoli [29] based on he li e a u e e iew ca ied ou by He nández
e al. [28]: (i) PA and PI as he same concep ; (ii) PA as a dimension o PI; (iii) PI as a dimension
o PA; (i ) PA and PI as dimensions wi hin a sup a-o de ed concep . The concise li e a u e e iew
on he dimensions o SoP he e p esen ed do no make jus ice o he mul i ude o concep ual
amewo ks and de ini ions wi hin he scope, as exp essed by Scannel and Gi o d [16]: “ hese
de ini ions emain sca e ed in he li e a u e, and hus he heo e ical de elopmen o he concep
has no ye been acknowledged, no has a mo e gene al de ini ion o place a achmen been
ag eed upon” (p. 2).
2.3 Ope a ionalizing sense o place
Sense o place is no accessible h ough di ec obse a ion, ye i can be in e ed based on
people’s esponses and ac ions [24]. In o de o analyze i s dimensions and quan i y hem,
esea che s ha e combined ques ionnai es, psychome ic scales and a ious s a is ical me hods.
The p edic o s and a iables used o s uc u e psychome ic scaled ques ionnai es a y in he
li e a u e depending on he concep ual o me hodological amewo k. Fo example, Lewicka [35]
assessed PA based on di e en a ibu es: demog aphic ac o s – such as age, educa ion and
gende ; physical ac o s – ype o housing and building size; social ac o s – neighbo hood ies
and sense o secu i y.
6
S uc u al equa ion modelling is o en used in en i onmen al psychology o assess and de ine he
ela ionships be ween di e en SoP dimensions and hei p edic o s. Rolle o and Piccoli [29] used
bo h quan i a i e and quali a i e da a o build a s uc u al equa ion model in which cause
indica o s such as cul u al le el, age, gende , social ela ionships and leng h o esidence we e
su eyed o assess hei con ibu ion in o ming place a achmen (Figu e 2.2).
Figu e 2.2. Place a achmen p edic ion model wi h eg ession weigh s, a iances and co ela ions ob ained
a e s a is ical analysis o sel - epo ed ques ionnai es ( om Rolle o and Piccoli [29])
Di e en la en a iables and indica o s ha e been hypo hesized and es ed. Fo ins ance,
Deu sch e al. [36] buil hei s uc u al equa ion model o sense o place using six di e en
dimensions – a achmen , dependence, iden i y, sa is ac ion, a mosphe e and communi y – which
in u n had se e al di e en su ey ques ions as indica o s, and explana o y a iables such as
sociodemog aphic a ibu es and “desc ip ion o he day”. Scannel and Gi o d [16] explo ed all
commonali ies o sense o place in di e en ields h ough an exhaus i e li e a u e e iew and buil
a ipa i e o ganizing amewo k – PPP. The pe son-p ocess-place amewo k (Figu e 2.3) spli s
place a achmen in o h ee main componen s: pe son – who is a ached; p ocess – how hey a e
a ached and place – o whe e in space an indi idual o communi y is a ached. Acco ding o he
au ho s, he PPP amewo k can aid he ope a ionaliza ion o he cons uc s bo h in quan i a i e
and quali a i e analysis o sense o place.
Figu e 2.3. The PPP ipa i e amewo k o place a achmen ( om Scannel and Gi o d [16]).
2.4 Sense o place and geog aphic in o ma ion
Al hough sense o place and i s ela ed cons uc s a e social-psychological concep s, hey a e
undamen ally a ached o a geog aphical dimension [9]. The space-place dicho omy has been
7
ex ensi ely discussed by human geog aphe s, ye i has no been subs an ially app oached wi hin
he GIScience. Me schdo and Blaschke [37] a gued ha he e ms ha e been used almos
in e changeably in he li e a u e. The au ho s ca ied ou an in-dep h e ision o he ole o place
in GIScience ega ding he o maliza ion and ope a ionaliza ion o place cons uc s. They
iden i ied ha he b anches o VGI/c owdsou cing, seman ics and on ologies a e a eas conce ned
in ope a ionalizing place.
Be o e esea ch was conduc ed h ough combining place s udies and geog aphic in o ma ion,
spa ial dimensions we e only conside ed as a scale o a achmen s eng h such as owa ds he
house, apa men , neighbo hood, ci y and coun y. Lewicka [35] demons a ed ha pe ishes and
dis ic s a e poo ly consolida ed h ough cogni i e mechanisms due o he a bi a y cha ac e o
adminis a i e a eas, causing people o epo lowe alues o place a achmen owa ds hese
scales. Acco ding o he au ho , adminis a i e bounda ies gene ally lack symbolism o building
cogni i e spa ial ep esen a ions as people end o abs ac spa ial in o ma ion in he o m o
places.
In he scope o na u al esou ce managemen , B own and his colleagues ha e applied map-based
me hodologies o measu ing SoP oge he wi h landscape alues [13],[14],[32]. As b ough up
by B own [13] a he ime, he concep s lacked sui able ope a ional de ini ions, limi ing hei
applica ions and equi ing he need o “connec special place loca ions (geog aphy o place) wi h
hei unde lying pe cep ual a ionale (psychology o place)” (p. 19). In hei pionee esea ch,
B own e al. [14] mapped PA using in e ne -based PPGIS combining a iables o landscape
alues, PA and home ange. Figu e 2.4 shows he map-based su ey esul s o place a achmen
and home ange conside ing hei a ea o e lap.
Figu e 2.4. Spa ial dis ibu ion o o e lapping alues o place a achmen and home ange based on hand
d awn polygons om he PPGIS su ey ( om B own e al. [14]).
Jenkins e al. [11] ga he ed c owdsou ced da a om Twi e and Wikipedia o analyze collec i e
SoP in di e en ci ies. Thei s udy combined social media, GIS and SoP o “gaining an
unde s anding o he building blocks o hese u ban en i onmen s” (p. 17) by means o a p ocess
8
he au ho s e e o as “mo ing om a geome ical iew o he wo ld a ound us o a pla ial iew”
(p. 17). In hei esea ch on spa ializing SoP, social capi al and ci ic engangemen , Acedo e al.
[18] de eloped a GIS pla o m o “ ende space as a subjec i e place ha co e s he people’s
eeling owa ds places and human ela ionships” (p. 2). Use s o he pla o m a e able o d aw
polygons acco ding o ques ions designed o assess each social-psychological cons uc ,
enabling isualiza ion and analysis (Figu e 2.5). Thei mo i a ion was o in es iga e p edic o s,
c ea e a social-spa ial laye o he ci y (Lisbon) and demons a e he ele ance o GIScience in
ci izen social in o ma ion [18].
Figu e 2.5. Applica ion buil by Acedo e al. o ga he use s’ da a on sense o place, ci ic engagemen and
social capi al ( om Acedo e al. [18]).
Also in he ci y o Lisbon, Acedo e al. [17] examined he spa ial ela ionship be ween a eas whe e
people eel SoP and a eas ha people ake pa in ac i i ies. The da a o SoP was acqui ed using
he applica ion de eloped by Acedo e al. [18], while ac i i y was ep esen ed by geoloca ion o
Twi e pos s. Thei spa ial analysis concluded ha social media da a can se e as a p oxy o
bounding SoP spa ial dimensions. Along simila lines, Acedo e al. [9] in es iga ed he spa ial
ela ionship be ween SoP and social capi al also using he same applica ion de eloped by Acedo
e al. [18]. Thei mo i a ion was o show he possibili ies o VGI/PPGIS in unde s anding social
syne gies o p omo e u ban in elligence, ea ing he ci y as a ne wo k o places. Acedo e al. [15]
ook a s ep u he by implemen ing he opological ela ionships be ween SoP, social capi al and
ci ic engagemen in o a s uc u al equa ion model. In ac , imbuing he opological ela ionships
in o he model esul ed in be e s a is ical i s in almos all cases [15].
2.5 Sense o place and mobili y
As discussed by Gus a son [20], mobili y includes in e na ional o in e nal mig a ion, esiden ial
mobili y inside he same egion, daily commu ing as well as leisu e o occupa ional a eling. One
o he consequences o a mobile wo ld is he de elopmen o sense o place owa ds mo e han
one place, es ablishing bonds o mul iple places h ough di e en p ocesses o meaning o ma ion
[20],[38]. As poin ed ou by some esea che s, li e a u e shows ha sense o place and mobili y
a e classically seen as opposi e o exclusi e phenomena, bu hese s udies migh o e look some
quali a i e dis inc ions in SoP when compa ing he concep be ween mo e and less mobile
9
indi iduals [20],[39]. This is due o he ac ha people who a e mo e mobile may de elop
ela ionships owa ds places by c ea ing meanings h ough di e en p ocesses when compa ed
o na i e people [20].
A s udy wi h middle class immig an s in Manches e demons a ed ha al hough a s ong place
a achmen was de eloped, i s cha ac e is ics we e a e lec ion o a selec i e p e e ence o
aes he ic and physical a ibu es o he place [40] apud [20]. Howe e , while immig an s a e
adjus ing o he new se ings, commonali y and di e si y can play di e en oles in o ming
a achmen ; people seek amilia physical ea u es and local immig an communi ies o look o
exposu e o new ways o li e, o e en a combina ion o bo h [41]. Leng h o esidence has o en
been a di ec measu e o place a achmen in psychome ic scales, bu o he esea che s a gue
ha du a ion should be ea ed as a p edic o [20]. The eason behind his is ha spa ial
knowledge inc eases o e ime, enabling people no only o acknowledge hei su oundings bu
also o acqui e mo e in o ma ion and consequen ly de elop new eelings owa ds new places [41].
Immig an s away om home may de elop SoP owa ds he neighbo hood, he ci y and also he
coun y, h ough an ac i e e o o help acili a ing he ansi ion [41].
Based on semi-s uc u ed in e iews, Chow and Healey [42] assessed he ansi ional p ocess o
i s -yea unde g adua e s uden s who had mo ed away om home o s udy. The au ho s
quali a i ely explo ed he media ing a iables ha impac on place a achmen and place iden i y,
which a e dynamic and p one o dis up ion since hese ela ionships e ol e bo h h ough space
and ime. The au ho s conclude ha du ing he ansi ional con ex , sense o place na u ally
mani es ed du ing he adjus men o a new socio-spa ial en i onmen .
One o he easons high co ela ion be ween sense o place cons uc s is o en p esen lies on he
ac ha mos o he esea ch ocus on na i e o long- ime esiden s [28]. Acco ding o He nández
e al. [28], concep s o e lap because na i es o long- e m esiden s usually epo high sco es o
all dimensions. Thei s udy showed ha di e en place dimensions yielded mo e a iabili y on hei
in ensi ies o non-na i e esiden s. The au ho s concluded hei s udy poin ing ou he need o
conduc ing mo e analysis wi h people o di e en na ionali ies in o de o examine he ole o
cul u al di e ences and he di e en p ocesses h ough which hese indi iduals cons uc dis inc
place iden i ies [28].
2.6 Theo e ical amewo k
A ou -dimensional model o sense o place was adop ed in he s udy (Figu e 2.6). The amewo k
was concei ed based on a combina ion o T ąbka’s [43] de ined s uc u e and he exis ing
li e a u e on he opic. T ąbka [43] s udied how di e en dimensions o sense o place eme ged
among olun a y polish immig an s in Oslo and London. The au ho conduc ed semi-s uc u ed
in-dep h in e iews and e ealed ha hei sense o place was dynamic and could be dissec ed
in o a dynamic ladde : place dependence – a o dances and new oppo uni ies; place disco e ed
– sense o mas e y and pleasu e om explo ing place; place iden i y – a ena o sel -exp ession;
and place inhe i ed – amily ies and li e-shaping expe iences in a place.

10
Figu e 2.6. Sense o place dimensions used in his s udy wi h hei espec i e desc ip ions.
The ou -dimensional model was d awn om T ąbka’s [43] as he wo k conside ed and deduc ed
impo an aspec s pe inen o he s udy he e ca ied ou , such as: dimensions a e conside ed
dynamic bo h in space and ime; dimensions end o de elop sequen ially; pa icipan s’ ac i i ies
conce ns aspec s o he u ban con ex ; indi iduals can ei he skip he de elopmen o speci ic
dimensions o no de elop ce ain bonds a all; and inally, pa icipan s a e o eigne s cu en ly
li ing in a new u ban se ing. The e o e, he main dimensional s uc u e he e de ined is an a emp
o i a sequen ial model o sense o place based on esidence ime. The spec um on which sense
o place is dismembe ed conside s he e olu ion om immedia e pe cep ions [44] and unc ional
a achmen o emo ional a achmen and deep ela ionships wi h places.
Ne e heless, T ąbka’s [43] sense o place dimensions a e de i ed om a deduc i e app oach
wi hin a a he speci ic esea ch con ex . As a consequence, he heo e ical amewo k cu en ly
adop ed also de ines sense o place dimensions based on he li e a u e e iew on he opic, mainly
wi hd awn om s udies in en i onmen al psychology. Fu he mo e, T ąbka’s place disco e ed
was eplaced he e by place awa eness, which no only conside s he disco e y and explo a ion
ela ionship owa ds places, bu also ca ies cogni i e aspec s o amilia i y, ep esen ing a
ansi ion om unc ional o emo ional a achmen . Final dimensions assessed he e we e: place
11
dependence – unc ional a achmen ; place awa eness – explo a ion and amilia i y ( ansi ion
om unc ional o emo ional a achmen ); place iden i y – emo ional a achmen and sel -iden i y;
and place inhe i ed – deep emo ional a achmen s ongly co ela ed o aspec s o social capi al.
In addi ion, li e a u e con i ms ha sense o place dimensions a e dis inc bu o en highly
co ela ed wi h each o he , al hough el wi h di e en in ensi ies by di e en people in di e en
con ex s [10]. The e o e, his esea ch acknowledges he dynamic and in e ela ed na u e o
sense o place dimensions while in es iga ing hei spa ial ela ionships.
3 Me hodology
3.1 O e iew and s udy design
Me hodology consis ed o wo main segmen s: map-based su ey o da a collec ion and analysis
o ga he ed da a. S udy design wi h desc ibed s eps is ound in Figu e 3.1 and he s udy a ea was
he municipali y o Lisbon, Po ugal. Nex sec ions will elucida e all he s eps, asks and ools used
h oughou he esea ch.
3.2 Su ey
3.2.1 Su ey123 and su ey s uc u e
The pla o ms used o design and ca y ou he su ey we e he Su ey123 online and desk op
en i onmen s. Su ey123 o A cGIS is a ool de eloped by ESRI o c ea ing and sha ing
cus omized su eys bo h on web and mobile o ma s [45]. Su ey123 online had se e al
limi a ions ega ding he ype o ques ions, s uc u e o ma and online map compa ibili y;
he e o e, Su ey123 desk op pla o m was used o build he su ey and Su ey123 online mainly
o inal edi ing, sha ing, da a downloading and dashboa d obse a ion.
Bo h pla o ms we e connec ed h ough A cGIS Online and used concu en ly o adjus ing,
designing, managing and publishing he inal su ey. Howe e , Su ey123 desk op was used o
building he su ey based on XLSFo m ool, which is he amewo k o designing ques ionnai es
in he desk op en i onmen . XLSFo m is a s anda d o au ho ing and sha ing o ms in Excel
h ough a speci ic syn ax o c ea ing XLS based ques ionnai es [46].
.
12
Figu e 3.1. Me hodology s uc u e o he esea ch.
13
The XLSFo m syn ax allowed all equi ed unc ionali ies o Su ey123 pla o m such as di e en
ypes o ques ions, including geoshape ques ions o hand-d awing polygons on map; di e en
logic and alida ion ules o cons ain s and condi ions; ques ion g ouping; as well as he
enablemen o inse ing media such as images. Figu e 3.2 shows a segmen o he su ey in
XLSFo m o ma on Su ey123 desk op.
Figu e 3.2. Ini ial sec ions o he su ey on XLSFo m o ma . Type column shows examples o speci ic syn ax
and cons ain column displays one example o a egex exp ession o pos al code illing es ic ion.
The comple e su ey can be ound in Annexes in bo h English and Po uguese e sions. Fi s ,
pa icipan would ind in o ma ion ega ding he aim o he su ey, app oxima e ime o
comple ion, ecommenda ions and con ac de ails. Then, in o de o p oceed and ill he su ey,
pa icipan had o ag ee wi h he s a ed da a e ms.
Secondly, ime o esidence, home coun y and pos al code o esidence loca ion (op ional)
ques ions we e asked. Each o he ou sec ions co esponded o a dimension, spli in o wo
subsec ions: he i s subsec ion inci ed he pa icipan o hink abou speci ic places acco ding
o he dimension (Figu e 3.3); in he nex page he subsec ion con ained he ques ions asked o
guide he map d awing, he map i sel o d awing he a eas as well as ins uc ions; he second
subsec ion consis ed o a like scale ques ion o ob ain addi ional in o ma ion ega ding he
in ensi y o he speci ic ela ionships owa ds he d awn a eas (Figu e 3.4). The o de o he sense
o place dimensions’ sec ions in he su ey was de ined acco ding o he heo e ical amewo k.
In addi ion, answe ing he place dependence sec ion was compulso y since i ep esen s he
dimension o daily asks, ac i i ies and ou ine based place in e ac ions.
Map-based unc ionali y o hand-d awn polygons is only enabled on Su ey123 desk op h ough
he implemen a ion o he geoshape ques ion ype o XLSFo m. Fo each main sec ion, one
geoshape ques ion was added o allow pa icipan s o d aw a eas wi hin he ci y o Lisbon.
Pa icipan s could in e ac wi h he online map by zooming, b owsing, sea ching o speci ic
egions and enla ging o ull sc een mode. Polygons could be buil h ough ei he de ined
geome ic shapes o eehand d awing, and pa icipan s could dele e and edi he shapes a e
delimi a ing hem. These s eps a e shown in Figu e 3.5.
20
in e sec ion di ided by he union o he se s [48]. In he case o his s udy, i ep esen s he
in e sec ion a ea di ided by he union a ea o wo geome ies.
Compa ison s a is ics we e pe o med be ween sho - e m and long- e m esiden s o each
dimension and, wi h excep ion o ke nel densi y dis ibu ion, be ween dimensions o each g oup.
Jacca d’s indices and a ea alues we e calcula ed using A cGIS P o. Co elog ams, sca e plo s
and ke nel densi y dis ibu ions g aphs we e done using R da a isualiza ion lib a ies on RS udio.
3.3.5 SPAEF – Spa ial E iciency Me ic
The Spa ial E iciency me ic (SPAEF) was de eloped and b ough o wa d by Koch e al. [49].
SPAEF consis s o h ee equally weigh ed pa ame e s: co ela ion, a io o coe icien o a ia ion
and his og am o e lap. Thei esea ch showed ha SPAEF is a “ ough c i e ion wi h h ee
independen componen s ha indi idually penalize he o e all simila i y sco e” [49], (p. 1882). By
hese means, SPAEF me ic was used in his s udy in o de o assess he simila i y be ween spa ial
pa e ns o sense o place dimensions’ dis ibu ions be ween sho - e ms and long- e ms, as well
as be ween dimensions. SPAEF equa ion (modi ied om Koch e al. [49]) is exp essed as:
SPAEF = 1−�(𝛼𝛼 −1)2+(𝛽𝛽 −1)2+(𝛾𝛾 −1)2
𝛼𝛼=𝜌𝜌(𝑎𝑎 , 𝑏𝑏),𝛽𝛽=�𝜎𝜎𝑏𝑏
𝜇𝜇𝑏𝑏�
� 𝜎𝜎𝑎𝑎
𝜇𝜇𝑎𝑎�,𝛾𝛾=�min �𝐾𝐾𝑗𝑗,𝐿𝐿𝑗𝑗�
𝑛𝑛
𝑗𝑗=1
� 𝐾𝐾𝑗𝑗
𝑛𝑛
𝑗𝑗=1
Whe e a and b a e he pa e ns o be compa ed; α is he Pea son co ela ion coe icien be ween
he pa e ns; β is he a io o he coe icien o a ia ions o each pa e n (spa ial a iabili y [49])
and γ is he his og am in e sec ion, while K and L a e he pa e ns’ his og ams and n he bin coun .
Pa e n simila i y is de ined by he Euclidian dis ance o he op imal poin (1,1,1), ep esen ed by
he highes sco es o each equally weigh ed componen . The e o e, SPAEF me ic anges om
−∞ o 1. The code de eloped o apply he spa ial me ic was made a ailable on Gi Hub by he
au ho s on hei pape [49]. The algo i hm eads he da a as a ansposed a ay; he e o e, ea u e
classes we e i s con e ed o as e on A cGIS P o wi h cell sizes smalle han he hexagon uni .
Each pixel con ained he alue o each sense o place dimension. Be o e unning he SPAEF
me ic, as e iles we e opened and ead as a ays using GDAL lib a y. SPAEF me ic and i s p e-
p ocessing s eps we e ca ied ou using Py hon language on he open sou ce Jupy e No ebook
applica ion. Final ou pu s included he SPAEF sco e and calcula ed alues o i s pa ame e s.
3.3.6 Clus e analysis
Clus e analysis was ca ied ou using all sense o place dimensions o all pa icipan s. Hie a chical
clus e analysis was pe o med in o de o ob ain addi ional in o ma ion on pa e ns and
cha ac e is ics o he ga he ed da a al oge he . Hie a chical analysis was chosen due o he
ela i ely small size o he da ase (87520 ins ances) and lexibili y in he in e p e a ion o clus e
numbe s based on he esul ed dend og am [50]. Agglome a i e app oach wi h Euclidian
dis ance and Wa d’s minimum a iance me hod we e used o compu ing he dis ance ma ix.

21
Final numbe o clus e s was de ined based on isual in e p e a ion o he dend og am as well as
he Elbow me hod. All s eps we e done using R language on RS udio pla o m. S eps o he
algo i hm and clus e analysis implemen a ion we e pe o med using se e al lib a ies om he
clus ee R package. Subsequen ly, R da a isualiza ions lib a ies we e used o c ea e pa allel
coo dina e and ada cha s o aid clus e cha ac e iza ion oge he wi h A cGIS P o o display
clus e spa ial dis ibu ion on a map.
4 Resul s and discussion
4.1 Su ey
The su ey was answe ed by 81 pa icipan s in o al, om which 30 we e long- e m esiden s and
51 we e sho - e m esiden s. In o al, people om 35 di e en na ionali ies pa icipa ed in he
su ey. Figu e 4.1 shows he pa icipan s’ coun based on hei na ionali y. B azil was he coun y
which had he highes numbe o pa icipan s, consis ing o app oxima ely 30% o he o al coun .
Figu e 4.1. Su ey pa icipan s’ coun based on hei na ionali y.
Fo hose who sha ed hei esidence loca ion, mos o hei pos al codes we e assigned o cen al
a eas wi hin he municipali y, excep o ou pa icipan s whose esidence we e loca ed ou side
he municipali y, ye s ill in he me opoli an egion. Al hough esidence loca ion was no
implemen ed in o he analysis, he ollowing sec ions con i m he in luence o esiden ial and
occupa ional loca ions in os e ing sense o place. I was assumed he e ha among he
pa icipan s he e we e g adua e s uden s, esea che s o indi iduals who had inished hei
g adua e s udies in Lisbon, as he su ey was no only bu mos ly sha ed wi hin acul ies o
Uni e sidade No a de Lisboa and Uni e sidade de Lisboa.
4.1.1 Su ey da a
Polygons ou side he municipali y we e d awn, despi e he inse ed ins uc ions guiding o
delimi a e polygons wi hin he ma ked bounda ies (Figu e 4.2). Table 4.1 displays he o al numbe
o d awn polygons, he a io o polygons pe pa icipan as well as he coun o polygons d awn
en i ely ou side he ci y o each dimension pe pa icipan g oup. O e all, o al numbe o
polygons dec eased p og essi ely om place dependence o place inhe i ed, as well as he a io
be ween polygons pe pa icipan . In addi ion, long- e ms d ew ela i ely mo e polygons
22
compa ed wi h sho - e m esiden s o all dimensions. Ano he aspec obse ed in he esponses
(Figu e 4.2) is he p esence o polygons which ei he co e ed a conside ably la ge po ion o he
ci y o he whole ci y i sel . Du ing ollowing o e lay analysis, conside ably la ge polygons would
ha e mos o hei ex en ep esen ed by low in ensi y alues o sense o place dimensions, as
mos o i s a ea would no o e lap wi h o he pa icipan s’ polygons and he e o e would no
ep esen egions wi h signi ican sha ed sense o place.
Figu e 4.2. On he le side, pa icipan s’ hand-d awn polygons mos ly wi hin Lisbon municipali y. Maps on
he igh side show he polygons d awn ou side he ci y o Lisbon. Maps a and b – place dependence; Maps
c and d – place awa eness; Maps e and – place iden i y; Maps g and h – place inhe i ed.
23
d awn
polygons
o al
polygons
a io
polygons/pa icipan
polygons ou side
he ci y
place dependence sho - e m 92 165 1,80 3
long- e m 73 2,43 3
place awa eness sho - e m 66 128 1,29 5
long- e m 62 2,07 3
place iden i y sho - e m 50 108 0,98 5
long- e m 58 1,93 2
place inhe i ed sho - e m 35 83 0,68 2
long- e m 48 1,60 6
Table 4.1. Numbe o d awn polygons, polygons pe pa icipan a io and numbe o polygons delimi a ed
en i ely ou side Lisbon.
In o ma ion ega ding he esponse a e o each place dimension is ound in Table 4.2.
Pa icipan s d ew polygons and answe ed he like ques ions o place dependence as i was
compulso y in o de o comple e he su ey. As o he o he dimensions, pa icipan s could
choose o skip ques ions i one did no necessa ily eel he pa icula bond, as guided h ough he
ins uc ions. Long- e m esiden s had a signi ican highe pe cen age o answe ed ques ions in
compa ison wi h sho - e m dwelle s. In addi ion, long- e m esiden s had a consis en high
pe cen age o answe ed ques ions o each dimension, whils sho - e m esiden s’ esponses
had a lowe ing coun as dimensions ep esen ed deepe connec ions.
Table 4.2. Response a e o each assessed place dimension o sho - e m and long- e m g oups.
4.2 Spa ial dis ibu ion o sense o place dimensions
The ollowing subsec ions display he esul s in map o ma o he o e lay and ho spo analysis as
well as spa ial ea u es o he di e en dimensions assessed in his s udy.
4.2.1 In ensi y o sense o place dimensions: i s map p oduc s
The i s map p oduc s buil a e cha ac e ized by he display o he in ensi y o each dimension o
sho - e ms, long- e ms and combined esponses wi h no malized alues wi hin each da ase
ange.
4.2.1.1 Place dependence
Sho - e ms’ dis ibu ion has a p ominen high in ensi y spo , high alues in he cen al ci y a ea
as well as lowe alues in some pe iphe ical zones (Figu e 4.3). As o long- e ms, hei highe
in ensi y zone is loca ed in ano he a ea and in gene al, he cen al a ea o he ci y displays highe
alues when compa ed o sho - e ms. When combining he g oups, he high in ensi y zones a e
no iceable, ye high alues a e ound h oughou he cen al egion o Lisbon.
dimension
sho - e m (%)
long- e m (%)
place dependence
100
100
place awa eness
80
97
place iden i y
69
87
place inhe i ed
41
93
24
Figu e 4.3. Dis ibu ion o place dependence o sho - e m, long- e m and all o eign esiden s.
4.2.1.2 Place awa eness
Sho - e ms’ high in ensi y zones (Figu e 4.4) a e cha ac e ized by a la ge ex en when compa ed
o dependence (Figu e 4.3). As o long- e ms, he highes s eng h o awa eness is concen a ed
in wo adjacen a eas, ye i s dis ibu ion o high alues is simila o he one desc ibed o sho -
e ms. As a esul , when combining he wo pa icipan g oups, awa eness is encoun e ed
h oughou he whole ci y, bu bea ing highe in ensi y ac oss he cen e o he municipali y.
Figu e 4.4. Dis ibu ion o place awa eness o sho - e m, long- e m and all o eign esiden s.
4.2.1.3 Place iden i y
Maps show a la ge ex en o he highes in ensi y zone o long- e ms while sho - e ms’
dis ibu ion o highe alues seems o be mo e homogenous (Figu e 4.5). In addi ion, simila o
he p e ious dimensions, iden i y is concen a ed in he cen al a ea o he ci y. When analyzing
all esiden s, he highe in ensi y zone o long- e m dwelle s is a salien ea u e.
25
Figu e 4.5. Dis ibu ion o place iden i y o sho - e m, long- e m and all o eign esiden s.
4.2.1.4 Place inhe i ed
Bo h g oups’ dis ibu ions ha e a dis inc high s eng h spo (Figu e 4.6). Howe e , high in ensi y
alues a e dis ibu ed mo e e enly o long- e ms whils sho - e ms’ high alues a e concen a ed
in one zone. As o all pa icipan s, highes alues o inhe i ed a e ep esen ed by he highes
alue spo o sho - e m esiden s. Values o inhe i ed appea o be analogous o he dis ibu ion
o dependence o bo h pa icipan g oups (Figu e 4.3). The e o e, based solely on isual
in e p e a ion o he i s maps p oduced, dimensions’ dis ibu ion sugges s some deg ee o
co ela ion wi hin each g oup.
Figu e 4.6. Dis ibu ion o place inhe i ed o sho - e m, long- e m and all o eign esiden s.
4.2.1.5 Sense o place: combined dimensions
Di e ences be ween sho - e m and long- e m o eign esiden s a e e iden (Figu e 4.7). Sho -
e ms’ highes alues a e agg ega ed in one main spo and oge he wi h hei o e all spa ial
pa e n, he dis ibu ion is hea ily in luenced by place dependence dis ibu ion (Figu e 4.3). Fo
long- e m esiden s, dis ibu ion is mos ly simila o he spa ial pa e n ound in awa eness (Figu e
4.4). High alues o sense o place a e ound in he cen al a ea o he municipali y o bo h g oups,
howe e , long- e ms ca y s onge alues ac oss a b oade egion o Lisbon.

26
Figu e 4.7. Dis ibu ion o sense o place o sho - e m, long- e m and all o eign esiden s.
4.2.2 Regions o collec i e sense o place: second map p oduc s
The ollowing subsec ions display he esul s and espec i e discussion o he map p oduc s buil
based on he spa ial con igu a ion o alues highe han he uppe qua ile. Common a eas as well
as unique a eas o each g oup a e highligh ed o isualize p ope ies, dis inc ions and
cha ac e is ics. Th oughou he nex sec ions and subsec ions, a eas in he ci y o will no only be
e e ed as hei o icial adminis a i e uni s – F eguesias – bu also by names o egions o smalle
ex en co esponding o his o ical neighbo hoods, locales, landma ks, as well as places ha ca y
impo ance in de ining he u ban landscape o Lisbon. This is mainly due o he ac ha o icial
adminis a i e uni s a e la ge han neighbo hoods in e p e ed by he esiden s on he basis o
in ica e aspec s o he social and geog aphic na u e o he ci y landscape con inuum [51],[52].
4.2.2.1 Place dependence
The map in Figu e 4.8 displays he selec ed a eas o place dependence. Common a eas o bo h
g oups mainly encompass he F eguesia de A oios; F equesia de San a Ma ia Maio ; F eguesia
de A enidas No as; F eguesia de A eei o as well hei su ounding a eas. Long- e ms’ a ea co e
mos o he espec i e sho - e ms’, wi h he excep ion o a unique a ea o dependence o sho -
e ms, which co esponds o he F eguesia Penha de F ança and F eguesia de A eei o. Unique
a eas o dependence o long- e ms co e a la ge ex en wi hin he ci y, no only a ound he sho -
e ms’ a ea bu also ac oss o he pe iphe ical neighbo hoods.
Wi hin he unique egion o dependence o long- e m esiden s, some speci ic places can be
lis ed such as he Ben ica s adium and he Colombo shopping mall; Lisbon Oceana ium, Vasco
da Gama shopping cen e ; he Expo ’98 a ea (1998 Lisbon Wo ld Exposi ion) in Pa que das
Nações; and neighbo hoods such as San a Apolônia, G aça, Es ela, São Ben o, Campo de
Ou ique, En ecampos, Se e Rios, Roma and Al alade.
27
Figu e 4.8. Maps o common and unique a eas o place dependence o sho - e m and long- e m o eign
esiden s.
Acco ding o he esou ces ha ea u es o he u ban se ing can p o ide in o de o c ea e
dependence, leng h o esidence seems o in luence he ex en o which his dimension is ound
when compa ing he wo g oups [44]. As dependence is de eloped h ough e e yday ac i i ies
such as wo k, s udy and leisu e in egions which can ul ill hese beha io al asks, he dis inc ion
be ween sho - e m and long- e m dwelle s can p o ide ini ial insigh s. Long- e ms ca y
dependence a a la ge ex en wi hin he ci y compa ed o sho - e ms, sugges ing ha leng h o
esidence spa ially b oadens he dimension wi hin he ci y con ex . Mo eo e , he common a ea
o dependence is mainly loca ed in he cen al egion o he ci y, whe e highe densi y o
educa ional ins i u ions, poin s o in e es , housing and en e ainmen ela ed locali ies is ound.
4.2.2.2 Place awa eness
The selec ed a eas o each g oup a e simila (Figu e 4.9); and i s common a ea encompasses a
la ge a ea wi hin he cen e o he municipali y. Mos o he common a ea co esponds o sho -
e ms’ awa eness, while hei unique a ea is mainly loca ed in he F eguesias de A eei o, Al alade
and Bea o. In ac , unique a eas o awa eness o sho - e ms a e simila in ex en and loca ion
when compa ed o hei unique a eas o dependence (Figu e 4.8).
Unique a eas o long- e ms a e mos ly ound in he F eguesias de Belém, Ma ila, Pa que das
Nações, Es ela and Mise icó dia. In F eguesia de Belém, awa eness encompasses he a ea
whe e ou is ic spo s and landma ks a e concen a ed. O he places whe e awa eness is ound
only o long- e m esiden s a e Cais do Sod é, Campo de Ou ique, Campolide, Campo G ande
and Al alade. When obse ing he common a eas o awa eness and dependence dimensions
(Figu e 4.8 and Figu e 4.9), awa eness is cha ac e ized by a la ge ex en , expanding ou wa ds
dependence. The same pa e n is encoun e ed when compa ing awa eness be ween he wo
g oups, as unique a eas o long- e ms a e sp ead a ound he sho - e m coun e pa .
28
Figu e 4.9. Maps o common and unique a eas o place awa eness o sho - e m and long- e m o eign
esiden s.
The dimension o awa eness in his s udy is a combina ion o amilia i y, knowledge and disco e y.
Since he o mula ed su ey ques ions o awa eness we e b oad, answe s ca y mul iple
meanings, ela ionships and eelings which cons i u e awa eness. Consequen ly, i s mul i-
dimensionali y may ha e con ibu ed o a simila spa ial pa e n be ween g oups. None heless,
long- e ms’ a ea o selec ed alues o awa eness is b oade han sho - e ms’, al hough he
di e ence is no as la ge as he one ound in dependence (Figu e 4.8).
4.2.2.3 Place iden i y
Common a eas a e loca ed in he F eguesias de A enidas No as, Campolide, Penha de F aça,
A eei o, A oios, San o An ónio, São Vicen e e San a Ma ia de Maio (Figu e 4.10). Selec ed
alues o sho - e ms’ iden i y a e mainly dis ibu ed in wo a eas: he his o ical down own and he
no he n po ion which consis s o a eas such as Ma quês de Pombal, Picoas, Saldanha, Anjos,
A eei o, A oios, Alameda and G aça. Resembling he dis ibu ion o p e ious dimensions, he
unique a ea o iden i y o sho - e ms is loca ed in Alameda and Penha de F ança.
Long- e m dwelle s’ iden i y embodies mos o sho - e ms’ iden i y, ye i has a conside ably
la ge ex en . Long- e m esiden s also eel iden i y owa ds a eas such as Al ama; Campolide
campus o he Uni e sidade No a de Lisboa in he F eguesia de Campolide; as well as mo e
pe iphe ical a eas such as egions a ound he Ben ica s adium and Colombo shopping cen e ;
Campo Pequeno and he Campo G ande Ga den.
29
Figu e 4.10. Maps o common and unique a eas o place iden i y o sho - e m and long- e m o eign
esiden s.
When compa ing g oups, iden i y exhibi s highe dissimila i y in con as o dependence and
awa eness dimensions (Figu e 4.8 and Figu e 4.9). Long- e ms’ iden i y spa ial ex en is
signi ican ly la ge han sho - e ms’, and as men ioned be o e, sho - e ms’ iden i y can be spli
in o wo po ions. This dimension ep esen s he a ec i e bond ha s em om cons an
in e ac ions wi h places which migh e en ually become emo ional a achmen . The ime
cons ain o in e ac ion can explain why leng h o esidence migh esul in di e en spa ial ex en s
o he bond [53] apud [16].
4.2.2.4 Place inhe i ed
Common a eas o place inhe i ed a e cha ac e ized by de ached indi idual a eas as well as one
main egion o la ge ex en (Figu e 4.11). The smalle egions a e ep esen ed by he Campolide
campus o he Uni e sidade No a de Lisboa and Ja dim Amália Rod igues; a eas in Baixa and
a ound Cas elo de São Jo ge; and P íncipe Real. The common a ea is sp ead h ough he egions
o Anjos, In enden e, A oios, Saldanha, P aça da Espanha and Alameda.
Some unique inhe i ed a eas o sho - e ms a e: Al ama; Campolide neighbo hood; En ecampos
and Roma neighbo hoods in he F eguesias de Al alade; A eei o, Alameda and A oios in he
F eguesias de A eei o and Penha de F ança. As o long- e ms, some unique a eas a e: Ben ica
neighbo hood; Campo G ande and Al alade neighbo hood in he F eguesia de Al alade; Ra o,
Ma quês de Pombal; A enida da Libe dade; and neighbo hoods in he his o ical down own.
Selec ed a eas o inhe i ed and iden i y (Figu e 4.10) spa ially display he la ges di e ences
be ween he g oups. Place inhe i ed ep esen s he ela ionship wi h places ega ding aspec s o
oo edness, belongingness and social ies. The e o e, he dimension is a he slow end o he as -
slow spec um o sense o place de elopmen , as leng h o esidence is highly co ela ed wi h he
eme ge and s eng h o his dimension [43],[44]. In he case he e, he spa ial ex en o inhe i ed
36
dis ibu ed h oughou o he egions in he ci y, ye compa ed o long- e ms, he inhe i ed
dimension has a smalle and mo e agmen ed ex en .
Figu e 4.17. Dis ibu ion o ho spo s a eas and alues highe han he uppe qua ile o place inhe i ed in
sho - e m and long- e m o eign esiden s o Lisbon.
Values highe han 80% o long- e ms can be ound wi hin he Campolide campus o
Uni e sidade No a de Lisboa and su ounding a eas such as Bai o Azul, P aça da Espanha and
Gulbenkian Pa k. Values highe han 40% a e ound in a much la ge ex en when compa ed o
sho - e ms, and hey ake place a Ma quês de Pombal, Edua do VII Pa k, Saldanha, Campo
Pequeno, IST Campus, Alameda Ga den, A oios – Anjos – In enden e egion, Mou a ia, G aça,
Es e ânia, Ja dim do To el, A enida da Libe dade and Bai o Al o. Mos o hese places a e
landma ks o Lisbon’s u ban landscape. C ea ed symbols and cons an in e ac ion could be
associa ed wi h o he ac o s such as social capi al, which os e s he eelings o oo edness and
belongingness.
Ho spo s – Figu e 4.17
Ho spo o sho - e ms has a smalle ex en when compa ing o long- e m pa icipan s. Acco ding
o esul s, place inhe i ed is he less de eloped dimension o sho - e m esiden s and i is,
oge he wi h he p e ious dimensions, concen a ed in one a ea: a ound he IST Alameda
campus. The e o e, long- e ms’ inhe i ed is la ge in ex en because hey migh ha e ma u ed his
sen imen owa ds mo e places.

37
4.3.5 Sense o place: combined dimensions
High alues – Figu e 4.18
When assessing he combined dimensions, alues highe han 70% a e ound in he IST Alameda
campus, Alameda Ga den, A co do Cego Ga den and Saldanha a eas o sho - e ms. As o
long- e ms, high alues a e ound in wo dis inc egions: one ha encompasses he Campolide
campus o Uni e sidade No a de Lisboa, Saldanha, Gulbenkian Pa k and Edua do VII Pa k; and
ano he a ea in he his o ical down own ha s e ches o he Anjos-In enden e egion.
Figu e 4.18. Dis ibu ion o ho spo s a eas and alues highe han he uppe qua ile o sense o place in
sho - e m and long- e m o eign esiden s o Lisbon.
Values highe han 50% o sho - e m dwelle s only expands a ound IST campus in o he Anjos-
In enden e egion alongside A enida Almi an e Reis and in o Saldanha and Gulbenkian Pa k. As
sense o place he e is he combined polygons o all ques ions, i s spa ial dis ibu ion is in luenced
by each dimension o each g oup. Despi e each g oup’s pa icula i ies, sense o place o long-
e m pa icipan s is s onge owa ds a conside ably la ge ex en o he ci y.
Ho spo s – Figu e 4.18
The a eas o bo h g oups a e ela i ely simila . Howe e , long- e ms’ sense o place in he
down own pa o he ci y has a la ge ex en owa ds he F eguesias de Mise icó dia and São
Vicen e. Ho spo s o long- e m pa icipan s also include he F eguesia de San o An ónio and
38
Campolide. As o sho - e m pa icipan s, he a ea ex ends o F eguesias de A eei o and Penha
de F ança, including he IST Alameda campus.
4.4 Desc ip i e s a is ics
Desc ip i e s a is ics a e ound in Table 4.3. Mean, a iance and s anda d de ia ion alues yielded
by dependence is mo e han wo imes highe o long- e ms. Ku osis o place dependence
dis ibu ion is almos h ee imes lowe o long- e m pa icipan s. The e o e, alues o
dependence in long- e m a e highe , less concen a ed and mo e dis ibu ed when compa ed o
sho - e ms.
S a is ics o awa eness yielded a he simila esul s o bo h g oups. As o iden i y, he mean is
app oxima ely 20% highe o sho - e m esiden s, while alues o o he pa ame e s a e
conside ably simila . In addi ion, he spa ial ex en o iden i y o long- e ms is la ge , esul ing in
la ge a eas ca ying lowe collec i e iden i y alues, con ibu ing o a lowe mean.
mean s d. de . median mode a . ku osis
place
dependence
sho - e m 0,0514 0,1156 ~0 ~0 0,0134 16,04
long- e m 0,1018 0,1473 0,0164 0,0164 0,0217 6,17
place awa eness sho - e m 0,1679 0,2016 0,0968 ~0 0,0406 3,02
long- e m 0,1768 0,2068 0,1013 0,0253 0,0428 2,63
place iden i y sho - e m 0,0925 0,1547 ~0 ~0 0,0239 4,46
long- e m 0,0764 0,1522 ~0 ~0 0,0232 8,93
place inhe i ed sho - e m 0,0406 0,1038 ~0 ~0 0,0108 28,11
long- e m 0,0817 0,1532 ~0 ~0 0,0235 5,91
sense o place sho - e m 0,0977 0,1391 0,0571 ~0 0,0194 7,61
long- e m 0,1761 0,2031 0,0984 0,0346 0,0413 3,20
Table 4.3. Desc ip i e s a is ics o all assessed sense o place dimensions by each pa icipan g oup.
Fo place inhe i ed, he mean and a iance alues a e wo imes highe o long- e ms, while
ku osis is almos six imes highe o sho - e m esiden s. Maps o spa ial dis ibu ion o he
inhe i ed dimension con i m his as o sho - e ms, collec i e inhe i ed is concen a ed in one
small a ea. As o he combined dimensions, he mean is wice as high o long- e ms, as well as
he s anda d de ia ion, median and a iance. In addi ion, ku osis is mo e han wo imes highe
o sho - e ms. The e o e, sense o place o long- e m dwelle s is s onge and spa se
dis ibu ed ac oss he ci y o Lisbon.
4.5 Compa ison s a is ics and Spa ial E iciency me ic
Following subsec ions display he esul s o analysis ca ied ou o compa e each dimension o
sense o place be ween as well as wi hin each pa icipan g oup.
4.5.1 Compa ison be ween g oups
Resul s o he SPAEF me ics a e ound in Figu e 4.19, oge he wi h associa ed pa ame e s as
well as sca e plo s. Ke nel densi y unc ions alues highe han 80% a e displayed in Figu e 4.20.
Las ly, Table 4.4 shows he alues o selec ed a eas o each dimension and pa icipan g oup as
well as Jacca d’s simila i y indices.
39
Figu e 4.19. Sca e plo s and SPAEF esul s oge he wi h i s associa ed s a is ical pa ame e s be ween
each pa icipan g oup o each dimension.
The dimension wi h he highes co ela ion alue was awa eness (0,77), which displays a s ong
non-linea posi i e co ela ion be ween he wo g oups. Value o SPAEF o awa eness is also he
highes be ween he dimensions (0,61) and ke nel densi y unc ions ha e he mos simila
dis ibu ion be ween g oups. In addi ion, a ea p ope ies o awa eness show high simila i y
be ween sho - e m and long- e m dwelle s. The e o e, awa eness was he mos simila
dimension be ween he wo pa icipan g oups.
The place iden i y dimension sco ed 0,62 o Pea son co ela ion and 0,51 o SPAEF me ics,
bo h being he second highes alues in he analyzed dimensions. Howe e , Jacca d’s index
alues and ke nel densi y unc ions sugges a conside able dissimila i y o iden i y be ween sho -
e m and long- e m dwelle s. This is con i med by he map p oduc s displayed in he p e ious
sec ions and sugges s ha al hough he o e all pa e n and in ensi y o iden i y o bo h g oups
a e simila , he spa ial ex en and loca ion o high alues a e dis inc . Values highe han 80% o
long- e m dwelle s exhibi a spa se dis ibu ion when compa ed o sho - e m esiden s.
40
Figu e 4.20. Ke nel densi y unc ions o he dis ibu ion o alues highe han 80% o each pa icipan g oup
and dimension.
As o place dependence, he dimension sco ed he second lowes Pea son co ela ion alue
(0,49) and SPAF me ics (0,11). Densi y unc ion o long- e ms displays a s onge bimodal
dis ibu ion and he sca e plo shows wo dis inc ends. The selec ed a eas’ alues o long- e ms
a e wice as high as sho - e ms, bu Jacca d’s index o ho spo s yielded 0,14 while o a eas
highe han uppe qua ile 0,85.
Table 4.4. Values o selec ed a eas and hei a ea simila i y indices o each dimension.
Sco ing he lowes SPAEF (-0,53) and Pea son co ela ion (0,42), place inhe i ed is he mos
dissimila dimension be ween he g oups. Respec i e alues o a eas and Jacca d’s index also
con i m he signi ican di e ence be ween long- e m and sho - e m dwelle s. His og am o e lap
41
(0,63) is also he lowes . O e all, selec ed a ea alues a e consis en ly highe o sho - e m
esiden s and Jacca d’s index o uppe qua ile selec ed a eas p og essi ely lowe s om place
dependence o place inhe i ed.
4.5.2 Compa ison wi hin g oups
Figu e 4.21 displays he colo scaled co elog ams o all dimensions as well as spli in o each
g oup. Table 4.5 shows he esul s o he SPAEF me ics and alues o Jacca d’s index be ween
dimensions wi hin each pa icipan g oup. The dimension o place inhe i ed yielded he lowes
alues o co ela ion be ween dimensions o bo h g oups. When obse ing he co elog ams
sepa a ed by g oup, place inhe i ed do exhibi lowes alues when compa ed o o he dimensions
o bo h g oups, ye o long- e m dwelle s he co ela ions a e highe .
Figu e 4.21. Colo amp co elog ams wi h all dimensions as well as wi hin each pa icipan g oup
(Pea son co ela ion).

42
Table 4.5. SPAEF and Jacca d’s indices compa ing sense o place dimensions wi hin each pa icipan g oup.
43
In gene al, esul s o SPAEF o long- e m esiden s’ dimensions a e consis en ly highe han
sho - e ms, showing ha spa ial pa e ns be ween dimensions a e mo e simila o long- e ms. In
addi ion, Jacca d’s indices o long- e ms a e also consis en ly highe . When analyzing he
Jacca d’s index speci ically o ho spo s’ a eas, he highes alue wi hin sho - e ms is ound
be ween inhe i ed and dependence. Sho - e ms epo ed expe iencing inhe i ed whe e hey eel
dependence, mos ly a ound he IST Alameda campus. The highes alue o a ea simila i y o
ho spo s o long- e ms is ound be ween iden i y and awa eness. Bo h ho spo s (Sec ion 4.3)
ep esen a coinciden la ge a ea wi hin he ci y.
4.6 Clus e analysis
Resul s o hie a chical clus e analysis a e ound in Figu e 4.22 and Figu e 4.23. Clus e 5 is
cha ac e ized by ha ing he smalles ex en and he highes alues o all dimensions o sho -
e m esiden s. Clus e 4 co esponds o he a ea a ound Clus e 5 which encompasses he inne
egions o he cen al zone o he ci y, including he his o ical down own. Dimensions o
dependence, awa eness and iden i y ha e he highes alues o long- e m esiden s in Clus e 4,
and consis en ly highe alues o all dimensions when compa ing o Clus e 1, 2 and 3. Clus e
3 is ound a ound Clus e 4 and ca ies ela i ely highe alues o sense o place dimensions in
compa ison o Clus e 1 and 2. Su ounding Clus e 3, Clus e 1 is ound also in pe iphe ical zones
and ca y he second lowes alues o place dimensions.
Clus e 2 has he lowes alues o all dimensions, and i is ound mainly in he ou ski s o he ci y.
This clus e ep esen s he a eas in he ci y which collec i e sense o place sco ed he lowes as
o e lapping polygons we e sca ce. Las ly, Clus e 1 ep esen s a egion in which sense o place
is ela i ely highe han Clus e 2, bu s ill conside ably lowe han he o he clus e s. The e o e,
clus e s ep esen a spa ial in ensi ica ion o collec i e sense o place owa ds he cen al egions
o he ci y o Lisbon wi h Clus e 5 being he ho spo . This is mainly due o mos o he pa icipan s
li ing wi hin cen al egions o he ci y, including pa icipan s ha li e, wo k o s udy a he IST
Alameda campus (Clus e 5). The spa ial pa e ns o he dimensions and clus e con igu a ions
show he in luence o unc ional in spa ially shaping sense o place.
5 Final discussion
5.1 Sho - e m s. long- e m o eign dwelle s
In he case o place awa eness, he mul idimensional cha ac e o he de ined dimension can be
obse ed in i s imodal densi y dis ibu ion o bo h g oups, con i med by he high alue
dis ibu ion maps. In his case, he a eas o collec i e awa eness can ep esen indi idual o a
combina ion o subdimensions o amilia i y, knowledge and disco e y. The e o e, al hough
subdimensions migh ha e yielded dis inc high alue spo s, sho - e ms and long- e ms
de eloped a simila s eng h and spa ial pa e n o awa eness ac oss he ci y o Lisbon.
.
44
Figu e 4.22. Resul s o hie a chical clus e analysis. On he le , he spa ial dis ibu ion o each clus e wi hin he ci y o Lisbon. On he igh , pa allel coo dina e cha s o he
clus e s wi h espec o each dimension.
45
Figu e 4.13. Resul s o hie a chical clus e analysis. On he le , he spa ial dis ibu ion o each clus e wi hin he ci y o Lisbon. On he igh , ada cha s o he clus e s wi h
espec o each dimension.
52
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55
Annexes
Su eys in English (le ) and Po uguese ( igh ).
Figu e 1. In oduc ion page o he su ey.
Figu e 2. Time o esidence ques ion.
56
Figu e 3. Residence loca ion ques ion.
Figu e 4. Coun y o o igin ques ion.
Figu e 5. B ie explana ion abou ollowing ques ions.
Figu e 6. In oduc ion o place dependence sec ion.
57
Figu e 7. Map-based ques ion o place dependence.
Figu e 8. Like ques ion o place dependence.

58
Figu e 9. In oduc ion o place dependence sec ion.
Figu e 10. Map-based ques ion o place awa eness.
Figu e 11. Like ques ion o place awa eness.
Figu e 12. In oduc ion o place iden i y sec ion.
59
Figu e 13. Map-based ques ion o place iden i y.
Figu e 14. Like ques ion o place iden i y.
Figu e 15. In oduc ion o place inhe i ed sec ion.
Figu e 16. Map-based ques ion o place inhe i ed.
60
Figu e 17. Like ques ion o place inhe i ed.
Figu e 18. End o he su ey.
Feedback ques ionnai e in English (le ) and Po uguese ( igh ).
Figu e 19. In oduc ion page o he eedback ques ionnai e.
61
Figu e 20. Like ques ions o he eedback ques ionnai e.
Figu e 21. Ques ion ega ding app oxima e ime o su ey comple ion.