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How to involve inhabitants in urban design planning by using digital tools? An overview on a state of the art, key challenges and promising approaches

Abstract

Different cases of public disagreement in different European countries have shown recently that perusing a thorough planning process is by no means a guarantee for a broad public acceptance of an envisioned urban project. Consequently, the employment of digital media and tools to enable participation of inhabitants in urban planning processes on a massive scale is a promising, but currently not comprehensively analyzed approach. Our research activities are intended to gain an overview on a state of the art of research on communication channels, methods and best practices as well as to identify key challenges and promising strategies and tools to overcome these challenges with specific regards to large numbers of users and digital supported approaches. The latter aspects comprise the investigation of phenomena like participant selection, framing effects and gamified approaches for digital-mediated participatory processes as well as native language processing techniques to examine opinions as well as ideas of relevance from massive public feedback. To examine, we performed literature reviews of several hundred research articles, investigated cases in Germany, France and the Netherlands by interviews and workshops with stakeholders and employed methods of prototyping to conceptualize, develop and assess some promising approaches such as sentiment analysis in detail.

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How to involve inhabitants in urban design planning by using digital tools? An overview on a state of the art, key challenges and promising approaches

Author: Münster, Sander,Georgi, Christopher,Heijne, Katrina,Klamert, Kevin,Noennig, Jörg Rainer,Pump, Matthias,Stelzle, Benjamin,van der Meer, Han
Publisher: Elsevier
DOI: 10.1016/j.procs.2017.08.102
Source: https://repos.hcu-hamburg.de/bitstream/hcu/730/1/1-s2.0-S1877050917314461-main.pdf
ScienceDi ec
A ailable online a www.sciencedi ec .com
P ocedia Compu e Science 112 (2017) 2391–2405
1877-0509 © 2017 The Au ho s. Published by Else ie B.V.
Pee - e iew unde esponsibili y o KES In e na ional
10.1016/j.p ocs.2017.08.102
10.1016/j.p ocs.2017.08.102
© 2017 The Au ho s. Published by Else ie B.V.
Pee - e iew unde esponsibili y o KES In e na ional
1877-0509
A ailable online a www.sciencedi ec .com
ScienceDi ec
P ocedia Compu e Science 00 (2017) 000–000
www.else ie .com/loca e/p ocedia
1877-0509 © 2016 The Au ho s. Published by Else ie B.V.
Pee - e iew unde esponsibili y o KES In e na ional.
21s In e na ional Con e ence on Knowledge Based and In elligen In o ma ion and Enginee ing
Sys ems, KES2017
How o in ol e inhabi an s in u ban design planning by using
digi al ools? An o e iew on a s a e o he a , key challenges and
p omising app oaches
Sande Müns e a*, Ch is ophe Geo gia, Ka ina Heijneb, Ke in Klame a, Jö g Raine
Noenniga, Ma hias Pumpa, Benjamin S elzlea, Han an de Mee b
aTU D esden, Ge many
bTU Del , The Ne he lands
Abs ac
Di e en cases o public disag eemen in di e en Eu opean coun ies ha e shown ecen ly ha pe using a ho ough planning
p ocess is by no means a gua an ee o a b oad public accep ance o an en isioned u ban p ojec . Consequen ly, he employmen
o digi al media and ools o enable pa icipa ion o inhabi an s in u ban planning p ocesses on a massi e scale is a p omising, bu
cu en ly no comp ehensi ely analyzed app oach. Ou esea ch ac i i ies a e in ended o gain an o e iew on a s a e o he a o
esea ch on communica ion channels, me hods and bes p ac ices as well as o iden i y key challenges and p omising s a egies
and ools o o e come hese challenges wi h speci ic ega ds o la ge numbe s o use s and digi al suppo ed app oaches. The
la e aspec s comp ise he in es iga ion o phenomena like pa icipan selec ion, aming e ec s and gami ied app oaches o
digi al-media ed pa icipa o y p ocesses as well as na i e language p ocessing echniques o examine opinions as well as ideas o
ele ance om massi e public eedback. To examine, we pe o med li e a u e e iews o se e al hund ed esea ch a icles, in-
es iga ed cases in Ge many, F ance and he Ne he lands by in e iews and wo kshops wi h s akeholde s and employed me hods
o p o o yping o concep ualize, de elop and assess some p omising app oaches such as sen imen analysis in de ail.
© 2016 The Au ho s. Published by Else ie B.V.
Pee - e iew unde esponsibili y o KES In e na ional.
Keywo ds: u ban planning, su ey, public pa icipa ion, s a e o he a
* Co esponding au ho . Tel.: +49-351-46332530, E-mail add ess: sande .muens e @ u-d esden.de
A ailable online a www.sciencedi ec .com
ScienceDi ec
P ocedia Compu e Science 00 (2017) 000–000
www.else ie .com/loca e/p ocedia
1877-0509 © 2016 The Au ho s. Published by Else ie B.V.
Pee - e iew unde esponsibili y o KES In e na ional.
21s In e na ional Con e ence on Knowledge Based and In elligen In o ma ion and Enginee ing
Sys ems, KES2017
How o in ol e inhabi an s in u ban design planning by using
digi al ools? An o e iew on a s a e o he a , key challenges and
p omising app oaches
Sande Müns e a*, Ch is ophe Geo gia, Ka ina Heijneb, Ke in Klame a, Jö g Raine
Noenniga, Ma hias Pumpa, Benjamin S elzlea, Han an de Mee b
aTU D esden, Ge many
bTU Del , The Ne he lands
Abs ac
Di e en cases o public disag eemen in di e en Eu opean coun ies ha e shown ecen ly ha pe using a ho ough planning
p ocess is by no means a gua an ee o a b oad public accep ance o an en isioned u ban p ojec . Consequen ly, he employmen
o digi al media and ools o enable pa icipa ion o inhabi an s in u ban planning p ocesses on a massi e scale is a p omising, bu
cu en ly no comp ehensi ely analyzed app oach. Ou esea ch ac i i ies a e in ended o gain an o e iew on a s a e o he a o
esea ch on communica ion channels, me hods and bes p ac ices as well as o iden i y key challenges and p omising s a egies
and ools o o e come hese challenges wi h speci ic ega ds o la ge numbe s o use s and digi al suppo ed app oaches. The
la e aspec s comp ise he in es iga ion o phenomena like pa icipan selec ion, aming e ec s and gami ied app oaches o
digi al-media ed pa icipa o y p ocesses as well as na i e language p ocessing echniques o examine opinions as well as ideas o
ele ance om massi e public eedback. To examine, we pe o med li e a u e e iews o se e al hund ed esea ch a icles, in-
es iga ed cases in Ge many, F ance and he Ne he lands by in e iews and wo kshops wi h s akeholde s and employed me hods
o p o o yping o concep ualize, de elop and assess some p omising app oaches such as sen imen analysis in de ail.
© 2016 The Au ho s. Published by Else ie B.V.
Pee - e iew unde esponsibili y o KES In e na ional.
Keywo ds: u ban planning, su ey, public pa icipa ion, s a e o he a
* Co esponding au ho . Tel.: +49-351-46332530, E-mail add ess: sande .muens e @ u-d esden.de
2392 Sande Müns e e al. / P ocedia Compu e Science 112 (2017) 2391–2405
Au ho name / P ocedia Compu e Science 00 (2016) 000–000
1. In oduc ion
Di e en cases o public disag eemen in di e en Eu opean coun ies ha e shown ecen ly ha pe using a ho -
ough planning p ocess is by no means a gua an ee o a b oad public accep ance o an en isioned u ban p ojec .
Cu en ly exis ing measu es o in o m he public and collec po en ial disag eemen a e based on classical media and
equi e o lookup plans and p ojec desc ip ions du ing he opening hou s o municipal o ices whe e hose ma e ials
a e a display. As seen o se e al ecen planning cases o e un by public disag eemen such as S u ga 21 [c . 1],
he 3 d unway o he Hea h ow ai po [2] o he wi hd awn Olympic games applica ion o he ci y o Hambu g, his
p ocedu e becomes ou moded in he digi al age. Also, a public deba e on u ban planning become inc easingly con-
using in e ms o communica ion channels, p inciples and opinions [3]. A p omising app oach o o e come hese
p oblems is o ac i ely in ol e inhabi an s in public p ocesses. Du ing he las decades his idea go e y popula in
o de o e ilize accep ance and o educe scep icism o ci izens owa ds decisions o publically high awa eness [eg.
4, 5, 6]. Mo eo e , public in ol emen is o en seen – bu no undoub ed - as medium o enhance a quali y o deci-
sion making in hese con ex s especially in e ms o he p o ision o lay knowledge and locally adjus ed solu ions
[7, 8]. How o in ol e inhabi an s in u ban design planning? Acco ding o B yson [9] a majo p e equisi e o se up
a success ul pa icipa i e p ocess is o ca e ully assess and design o an in ended con ex and pu pose. Mos la ge
scale-p ojec s ha e o icial p ojec websi es and employ social media channels like Facebook and Twi e , and so do
ini ia i es agains planning p ojec s [eg. 3]. Consequen ly, he employmen o digi al media and ools o enable
pa icipa ion o inhabi an s in u ban planning p ocesses on a massi e scale is a p omising, bu cu en ly no comp e-
hensi ely analyzed app oach. Since ou esea ch will base he de elopmen o a digi ally enhanced pla o m o
pa icipa o y planning suppo [10], his a icle is dedica ed o gain an o e iew on (a) a s a e o he a o commu-
nica ion channels, me hods and bes p ac ices, (b) key challenges and (c) p omising app oaches o o e come hese
challenges wi h speci ic ega ds o digi al suppo ed app oaches.
2. Resea ch Design
Wi hin ou esea ch, we pe o med h ee s ages o in es iga ion: A li e a u e e iew ocussed on he examina ion o
a cu en s a e o esea ch. To gain p ac ical g ounded knowledge on cu en challenges and s a egies o cope wi h
la ge scale complex u ban planning p ojec s we in es iga ed cases in Ge many, F ance and he Ne he lands by in-
e iews and wo kshops wi h s akeholde s. Finally, we employed me hods o p o o yping o concep ualize, de elop
and assess some p omising app oaches such as sen imen analysis.
S age 1: Li e a u e Re iew
Since he e is much esea ch on public pa icipa ion in u ban and a chi ec u al planning, ou me hodical app oach
is o e iew and classi y exis ing li e a u e o examine basic p inciples and key insigh s and gain implica ions o he
design o he a ge ed pla o m. F om a me hodical poin o iew a li e a u e e iew is “a sys ema ic sea ch o pub-
lished wo k o ind ou wha is al eady known abou he in ended esea ch opic” [11, p. 58], o p o ide „an in-
o med e alua ion o ha li e a u e“ [12]. A li e a u e e iew is a ela i ely low s anda dized me hod and elies on
s ages o da a sea ch and c i ical e alua ion [13]. Wi hin ou s udy he pu pose o he e iew is o “ amilia ise he
esea che wi h he la es de elopmen s in he a ea o esea ch” and „s udy he de ini ions used in p e ious wo ks as
well as he cha ac e is ics o he popula ions in es iga ed, wi h he aim o adop ing hem o he new esea ch” [14,
p. 20].
S age 2: Case esea ch
Case s udy esea ch is a quali a i e esea ch pa adigm o in es iga e complex phenomena [15]. To gain g ounded
insigh in challenges and s a egies un eiled du ing o me pa icipa o y p ocesses an in-dep h s udy was pe o med
on speci ic cases in Ge many, F ance and he Ne he lands. These cases we e selec ed o hei cha ac e is ics, which
make hem clea a ge p ojec examples o he designa ed pla o m: la ge-scale, complex, dynamic, poli ically
sensi i e and in ol ing huge numbe s o s akeholde s. Fo each case a whi e a ie y o quali a i e da a was e-
ie ed, e.g. in e iews wi h p ojec leade s and o he s akeholde s; analysis o he w i en epo s on he cases; anal-
ysis o he communica ion channels; and obse a ions du ing case wo kshops o ganized o he public. Finally, he
Sande Müns e e al. / P ocedia Compu e Science 112 (2017) 2391–2405 2393
Au ho name / P ocedia Compu e Science 00 (2016) 000–000 3
cases we e compa ed in o de o iden i y simila i ies and di e ences, which led o a lis o challenges ha mos o
such la ge-scale p ojec s ace ega ding pa icipa o y planning, co-c ea ion and communica ion.
S age 3: P o o ypes
P o o yping is an es ablished me hod especially in enginee ing o ( e-)sea ch solu ions “by doing”, o build
common g ound o communica ion as well as enable apid es ing [16]. P o o yping includes al e na ing s ages o
concep ion, de elopmen and es ing. Wi hin ou esea ch we use p o o yping me hods o o i y and assess p omis-
ing app oaches o e ilize public pa icipa ion. While a so wa e p o o ype o sen imen analysis is ye o be es ed,
he concep ual design o u he p o o ypes a e e e ed o in pa ag aph 4.4 and in [17].
3. S a e o he a on a me hodology o pa icipa ion in u ban planning
A i s s age is dedica ed o examine a s a e o he a on pa icipa i e u ban planning. This comp ises in pa icu-
la a e iew o communica ion channels, exis ing me hods o pa icipa ion and digi al suppo ed app oaches.
3.1. A pa icipa i e u ban planning p ocess
How does a p ocess o u ban planning ypically ake place? And how o enhance ha p ocess by employing
mechanisms o public pa icipa ion? To in es iga e hese issues we esea ched 61 a icles on u ban planning and
pa icipa ion [c . 10]. T adi ionally, u ban design and de elopmen p ocesses employ s ages and phases as app op i-
a e ins umen s o ensu e success ul design ou comes. P ocesses used o pass om p e-design analysis and b ie ings
h ough design and planning phases o inal execu ion (c . Fig. 1).
Figu e 1. U ban Design P ocess scheme
In he ea ly phases, p o essional p e-design me hods such as P og amming [18] we e used o collec and o ganize
p ojec ele an da a, some imes h ough s uc u ed o ma s o mul iple s akeholde s b ie ings and wo kshops. I has
been a gued his simple linea model is no a all he igh way o sol e eal p oblems o he eal wo ld. In mo e
ecen s udies, he p ocess ge s di ided in mul iple p ocesses ha un pa allel and o e lap, e.g. p ojec managemen ,
in o ma ion inding, con en inding, accep ance inding [19]. Agains ha backg ound, he key idea, howe e , is o
in ol e end-use s as ea ly as possible in he o e all p ocess, and o main ain di ec pa icipa ion as a as possible
[20]. Since use in e ac i e and pa icipa o y planning app oaches ha e been epo ed om many coun ies, includ-
ing he Uni ed S a es [21], Uni ed Kingdom [22], Belgium [23], Scandina ia [24, 25] and he Ne he lands [26], he
me hodology, as i was es ed and elabo a ed in a chi ec u al and u ban design p ac ice, ecommends o s a wi h
he in ol emen o a la ge numbe o end-use s and o e ine he gene a ed in o ma ion in smalle wo king g oups
wi h ac i is s [27]. A la e s ages, when expe s engage in o communica ion wi h end-use s o ge eedback, he
pa icipa ion p ocess will be again opened o a la ge numbe o esponden s. A se ious me hodological p oblem is
aised in ega ds o le el o in o ma ion, complexi y, and secu i y [28]. The lowe le els a e he public igh o
know, o be in o med implying no in ol emen in o he design p ocess. Medium le els include pa icipa ion in “de-
ining in e es s and he agenda” and in assessing he isks and ecommending solu ions”. The highes le el o pa ic-
ipa ion is eached when pa icipa ion akes he o m o “pa ne ship in he inal decision”.
3.2. A s a e o he a on communica ion channels
Pa icipa o y planning ac i i ies ( ools and me hods) can be deli e ed h ough physical o i ual communica ion
channels, o a combina ion o bo h. Figu e 2 and Table 1 p o ide an o e iew o possibili ies, which can be di ided
in o 1-way and 2-way communica ion. 1-way communica ion does no allow o pa icipa o y planning ac i i ies,
P e-designanalysis B ie ing P o essionaldesign Execu ion
2394 Sande Müns e e al. / P ocedia Compu e Science 112 (2017) 2391–2405
Au ho name / P ocedia Compu e Science 00 (2016) 000–000
since ac ual pa icipa ion can only ake place in in e ac ion, hus 2-way. Howe e , as he 1-way communica ion
channels may be needed o each he a ge audience in he i s place and o in o m hem, hey a e included as well.
Figu e 2. O e iew o communica ion channels: physical, i ual, 1-way and 2-way
Table 1. O e iew o pa ame e s o conside when selec ing he igh communica ion channel(s) o i he pu pose o he speci ic pa icipa o y
planning ac i i y.
Pa ame e :
Sho explana ion:
Conside :
Re :
Le el o pa ici-
pa ion
A ns ein’s pa icipa ion ladde desc ibes i e le els o
pa icipa ion and se s he ole o pa icipan s (ac i e o
eac i e).
- In o ming, consul ing, in ol ing, collabo a ing
o empowe ing
[29-
31]
Le el o pa ici-
pan in e ac ion
Pa icipan s can in e ac wi h each o he in di e en compo-
si ions.
- Indi idually, in pai s, in g oups, o a p og ess
h ough hese ypes (me-we-us me hod)
- Synch onous s: asynch onous
[32-
34]
Pu pose o he
p oc ess s age
Di e en s ages in he u ban planning p ocess equi e
di e en mindse s and ules. E.g. he p ocess o ga he ing
opinions o ob aining ideas di e s a lo om making deci-
sions.
- Accep ance inding, con en inding, in o -
ma ion inding
- P oblem inding, idea inding, solu ion inding
- Di e ging, clus e ing, con e ging
[9,
35]
Reach
I is impo an o a ge audiences whe e he ba ie s o
pa icipa e a e minimized.
The ease o pa icipa ion also plays a la ge ole.
- Home, public and ansi spaces, p ojec si e,
e en cen es/ own halls, and online space
- The access need o mobile de ices
- Time and e o o pa icipa e
[36-
38]
Scalabili y
In addi ion o he each, he ques ion is how many pa ici-
pan s you wan o each. E.g. he acili a o /pa icipan a io
in a ace- o- ace wo kshop is 1/8.
- 1-8 pa icipan s, 8-100 pa icipan s,
100-1000 pa icipan s, 1000+ pa icipan s
[35,
39,
40]
Pa icipan
selec ion
Closely linked o he p e ious wo poin s is whe he he
eached pa icipan s ep esen he ull ange o opinions. See
also pa ag aph 4.1
- Open o e e yone (sel -selec ion), s akeholde
ep esen a i e, demog aphically ep esen a i e,
o speci ic indi iduals
[9,
37,
40]
Pa icipan
skills
Conside whe he he pa icipan s would need any aining
in o de o pa icipa e h ough he channel.
- Ini ial/no pa icipan aining equi ed
[41]
Cul u al ap-
plicabili y
Cul u al backg ound should be conside ed, since i ela es o
pa icipan s’ social beha iou in ce ain se ings e.g. ela ed
o powe dis ance.
- Online eadiness
- People beha iou in open s. anonymous
se ing
[37,
42-
44]
Cos s
Some channels a e mo e expensi e o ope a e han o he s.
- Cos s pe pa icipan
- To al cos s o pa icipa o y planning ac i i y
[45,
46]
In e ac ion
quali y and
dep h
No all me hods ha e he same in e ac ion quali y and dep h.
- Deli e ing high s. low pe sonal con ac and
impac
[9,
47,
48]
Requi ed labou
and expe ise
Linked o he p e ious wo poin s: cos s and in e ac ion
quali y and dep h. Some channels equi e li le high-skilled
labou , while o he s need e.g. a closely in ol ed expe
acili a o .
- Amoun o labou and expe ise necessa y o
con igu a ion, engagemen , in ol emen , u iliza-
ion, analyzing, e c.
[46,
48]
Sande Müns e e al. / P ocedia Compu e Science 112 (2017) 2391–2405 2395
Au ho name / P ocedia Compu e Science 00 (2016) 000–000 5
Wi hin each channel, he e is a wide a ie y o ools and me hods possible. Fo ins ance, “wo kshops” can ange
om se ious gaming, o li ing labs, o gene a i e sessions, e c. Each channel has i s own oppo uni ies and limi a-
ions. The e o e, i is impo an o delibe a ely choose he igh channel(s) o he igh pu pose o he pa icipa o y
p ocess ac i i y. To unde s and which pa ame e s should be aken in o conside a ion, an in es iga ion on pu poses
o pa icipa o y planning was done which led o he se o pa ame e s lis ed in able 1. Fo compiling his o e iew
he gene al snowballing guidelines [49] we e used. The o e iew is la gely based on h ee me a-analyses om In-
ol e [50], B yson e al. [9] and Leighninge [48] and supplemen ed by addi ional public pa icipa ion li e a u e as
well as design esea ch li e a u e. This o e iew may no ye be comple e, bu should be in e p e ed as a s a ing
poin o a highe pu pose, which is de eloping a amewo k o suppo selec ing he igh pa icipa o y planning o
co-c ea ion ool(s) o a speci ic s age o si ua ion in an u ban planning p ojec . Howe e , his o e iew al eady
shows ha a lo o di e en combina ions a e possible in o de o deli e he igh pa icipa o y p ocess and achie -
ing he desi ed esul . Since each si ua ion equi es speci ic ypes o communica ion channels, i makes sense ha
he di e en ools he planned pla o m should consis o will be using (a combina ion o ) di e en communica ion
channels. In addi ion, depending on he pa ame e s desc ibed abo e, one can choose i ual o physical communica-
ion channels o a combina ion o bo h. I is likely ha a combina ion o bo h will be used o an op imal expe ience
and deli e y o he pa icipa o y p ocess. The s eng hs o physical ( ace- o- ace) channels a e he pe sonal con ac ,
he high in e ac ion quali y and dep h and he possibili y o u ilizing non- e bal communica ion (e.g. body lan-
guage). These componen s a e e y sui able o accep ance and consensus inding. These bene i s come a he p ice
o lowe scalabili y, highe cos s pe pa icipan and he need o mo e expe labou . The ad an ages o i ual
me hods a e he high each and scalabili y o in ol e and engage a la ge c owd, which could be e y powe ul in
c owd sou cing ools and me hods.
3.3. S a e o he a o me hods
Ci izens ha e a b oad ange o possibili ies o communica e in u ban planning like public hea ings, neighbou hood
mee ings, communi y ou eaches o ci izen o ums [51]. Since po als as Pa icipedia.ne [52] p o ide a gene al
o e iew on me hods o pa icipa ion, ou speci ic in e es was o name me hods speci ically o u ban planning.
Fo he esea ch o he ools, in e alia he used me hods o 30 ci ies we e ex ac ed om mul iple publica ions [eg.
53, 54, 55] which we e w i en by he municipali ies o p oclaim hei pa icipa ion concep .
Figu e 3. Layou o he pa icipa ion me hod da abase
To o ganize hese in o ma ion wi hin a da abase (c . Fig. 3) a ca ego iza ion in o he le el o pa icipa ion as de-

2396 Sande Müns e e al. / P ocedia Compu e Science 112 (2017) 2391–2405
Au ho name / P ocedia Compu e Science 00 (2016) 000–000
sc ibed abo e ook place, whe eby he p io i y we e consul a ion and collabo a ion me hods. In addi ion, se e al
o he ca ego ies such as numbe o pa icipan s o leng h o he p ocess we e added. Cu en ly he da abase includes
o e 70 me hods. Only me hods o in o mal pa icipa ion a e co e ed, because o mal pa icipa ion in u ban de el-
opmen is p ecisely desc ibed in legal amewo ks. Being associa ed o he EU H2020 p ojec “U_CODE U ban
Collec i e Design En i onmen ”, he da abase will be launched online wi hin 2017 on he p ojec websi e www.u-
code.eu. The esea ch shows ha mos ci ies only ha e a small numbe o me hods, which hey a e used o and
which a e no oo complex o unde ake. Common me hods a e di e en low-le el wo kshop o ma s, ci y walks o
he handou o in o ma ion ma e ial. Mo e elabo a e me hods such as c owdsou cing pla o ms a e seldom bu g ow-
ing. Tha means o u u e pla o ms ha hey should suppo he municipali ies wi h knowhow and conc e e ins uc-
ions o assis he use o mo e cus omized me hods. Mos o he esea ched me hods wo k o line (only 14 pu e
online me hods), bu many o he o line ools can be assis ed by digi al ools. A pe ec example a e passi e dis-
plays (in con as o in e ac i e displays) which can p o ide way mo e in o ma ion and add ess ano he a ge g oup
ia a displayed i ual eali y. Fo u u e pla o ms, ha means ha hey should suppo he use o sophis ica ed
high-le el echnologies. I mo e complex me hods esul in a be e ou come is ye o be examined.
3.4. U ilizing digi al echnologies o pa icipa ion in u ban planning
As men ioned in he desc ibed me hods, only ew o ma s a e capable o managing la ge pa icipan numbe s. A
key concep o add ess he p oblem o limi ed each is he combina ion o In o ma ion Technology, Human Com-
pu e In e ac ion and u ban planning. In ecen yea s, an inc easing numbe o web pla o ms we e de eloped o
sha e in o ma ion abou spa ial p ojec s wi h local people and ge o know hei needs and knowledge [56]. Fo
cu en planning cases like he Tempelho Field in Be lin [57], he Reallabo o sus ainable mobili y cul u e in
S u ga [58] o o di e en ansi p ojec s in he USA [59], ci y au ho i ies ha e published online pa icipa ion
pla o ms. Online communi ies and discussion o ums p o ide excellen pa icipa o y ins umen s o in eg a e expe
knowledge and ci izen commi men wi hin decision making: “[In social ne wo ks and in e ne pla o ms] ci izens
can be easily in ol ed in impo an decision making p ocesses. […] And ci izens hemsel es become ac i e. In
Blogs hey discuss ea ly on abou p ojec s. E en hough ac s may no be ue, hey s ill sp ead excessi ely as .
Emo ions o en escala e. P ojec de elope s and in es o s a e well ad ised o ecognise hese channels and con ib-
u e o an objec i e discussion […] ea ly on pa icipa ion […] may coun e ac ea s and p ejudices o ci izens.” [47,
p. 8]. Fu he oppo uni ies o u ban planning based on communi y engagemen come om c owdsou cing, co-
c ea i e digi al media, and neogeog aphy ools [60]. So-called Expanded Pa icipa o y Design [61] “suppo s an
expansion o he pa icipa o y e-planning locus owa ds collabo a i e wo k be ween expe s and non-expe s, an-
cho ed in mu ual digi al-media p oduc ion and sha ing” [61, p.25]. Saad-Sulonen highligh s he di e ence be ween
he collabo a i e app oach and u ban planning whe e planne s “ acili a e and o ches a e he delibe a i e ac i i ies”.
Also, pa icipa ion ools in he o ma o “c owdsou cing pla o ms” ha e been es ablished and come in o use o e
he pas yea s. Al hough he e is s ill li le esea ch abou hei e icacy and me hodology, social media-based con-
ibu ions o open design spaces appea o be a mos p omising a enue also o u ban planning, as online pa icipa-
o y design pla o ms like OWELA and RECORD sugges [62, 63].
3.5. Implica ions o digi al pa icipa ion echnologies in u ban planning
Digi al pa icipa ion echnologies ha e he po en ial o ho oughly eshape he p o essional p ac ice in u ban design
and de elopmen . I is necessa y and mos meaning ul o enable cons uc i e pa icipa ion and co-design ac i i ies
o he public in he ea ly p e-design phases, when changes a e s ill possible on a easible basis [64]. T anspa en
ways o decision gene a ion [eg. 50], p ocedu al ai ness and objec i i y [eg. 65] and “win–win” solu ions [eg. 66]
a e essen ial. Thei impac can be summa ized by ou new quali ies:
• C owdsou cing Knowledge: Digi al pa icipa ion ools enable he u ilisa ion o a wide knowledge basis as
in con en ional design p ac ices be o e. I becomes possible o ap on aluable expe iences and c ea i i y
o non-p o essionals oo, especially local ci izen expe s.
• Design E idence: New echnologies like design sen imen analysis p o ide new e idence o designe s and
planne s al eady in he design p ocess. I is possible o de elop p ojec s in acknowledgemen o public e-
sponse, and o es public a i ude and accep ance al eady in ea ly p ojec s ages.
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• In e ac ion: Besides echnical ad ances, digi al pa icipa ion echnologies p o ide o an in e ac i e and
communica ion-o ien ed planning p ocess. Di ec exchange be ween all s akeholde s, especially planne s
and use s (ci izens, esiden s) will become a key ac i i y in u ban design.
• Agile Design: Pa icipa i e ools and echnologies will ans o m planning wo k in o an i e a i e, agile
wo k p ocess, in con as o sequen ial and linea wo k lows ("wa e alls") ha ha e shaped u ban design
p ac ice in he pas .
4. Key challenges and p omising app oaches
Wha a e majo hu dles o pa icipa i e planning p ocesses and how o o e come? Fo me in es iga ions on
public pa icipa ion [6, 9] iden i ied a ious key challenges:
1. Few use s: Especially publically ini ialized pa icipa i e ac i i ies o en lack a su icien numbe o use s.
This may be caused by lacking in o ma ion on he p ocess [eg. 67, 68], ba ie s in cul u e, unde s anding o
accessibili y [eg. 69] o e en weak mo i a ion o pa icipa e [eg. 59].
2. W ong use s: As mos pa icipa o y p ocesses emb ace e e ybody, hey a e aced wi h sel -selec ion biases
[70, p. 81]. As igu ed ou in many s udies, people willing o pa icipa e in u ban planning p ocesses a ely
ep esen a majo i y o inhabi an s o in ol e (po en ial) opinion leade s [eg. 50, 71].
3. Communica ion issues: Pa icipa o s in public p ocesses a e in luenced by many ac o s such as p io
hough s, eelings and belie s [eg. 72], aming e ec s such as p esen a ion o ma s and echniques o me-
dia channels [eg. 73], and hei le el o knowledge o he p esen ed p oblem and he objec i es o achie e.
Ano he co e p oblem is he communica ion o complex design issues o he public in he ea ly p ojec li e
cycle when concep s a e s ill li le shaped and ha d o con ey o non-specialis s, bu easy o in luence and
e-di ec .
4. P ocess de ici s: I a public pa icipa o y p ocess lacks anspa ency, inclusion and ai ness, o leads o pub-
lically el poo decisions, i could cause mo e se e e disag eemen han i i ne e had aken place.
S udying hese challenges and employing insigh s om he in es iga ed cases hese ques ions a ise:
• How o each and engage a ep esen a i e g oup o pa icipan s? Mos la ge-scale u ban planning p ojec s
ha e a huge amoun o s akeholde s (ci izens, in e es g oups, au ho i ies, poli i ians, e c.). Howe e , he
s akeholde s wi h he highes in e es , powe o will o pa icipa e, is mos likely no a ep esen a i e g oup
o people who a e a ec ed by he p ojec . Fo success ul public pa icipa ion i is key o p o ide an accu-
a e ep esen a ion o all possible opinions in he communi y, meaning a wide a ie y o people om di -
e en ages, cul u es and social backg ounds. Especially when using digi al ools, he digi al eadiness, ac-
cessibili y and communica ion channels ha e o be conside ed and ho oughly analyzed. A p omising ap-
p oach o o e come hese challenges - u he discussed in pa ag aph 4.1 - is o employ mul imodal ap-
p oaches o pa icipan selec ion, e.g. by combining online and o line ools.
• How o engage and ac i a e cus ome s o pa icipa e in an ea ly s age o he p ojec ? Fi s ly, ci izens do
no ca e abou p ojec s un il hey s a a ec ing hem (e.g. 'no in my backya d'). Howe e , wi h e e y p o-
jec s age cos s, commi men s, and he le el o elabo a ion inc ease, while isks, solu ion space, and hus
he impac o ac i i ies on he p ojec ’s ou come dec ease. Secondly, he conclusions and decisions based
on ea ly pa icipa ion may no be ele an anymo e a p ojec comple ion. Especially in ou a ge ed (la ge
scale) p ojec s, u ban planning p ojec s can easily ake 15+ yea s om he (p oblem) iden i ica ion s age o
ealiza ion. Meanwhile, ci izens’ needs and desi es may ha e shi ed. The use o gami ica ion o e ilize
use mo i a ion is p omising app oach - u he discussed in pa ag aph 4.2.
• How o communica e a design p ojec o make i unde s andable o he public and allow o collabo a ion?
To a oid misunde s andings, non-expe ci izens should be able o unde s and he plans, e en hough hey
ind i di icul o unde s and p o essional language, ead plans o echnical d awings, and a e unawa e o
( echnical o p ac ical) cons ain s. Eme ging digi al ools like Vi ual Reali y, Augmen ed Reali y and Ge-
oLoca ion may be e y help ul in b idging he communica ion gap be ween p o essionals and ci izens - u -
he discussed in pa ag aph 4.3.
• How o acili a e pa icipa ion and co-design wi h 10.000+ ci izens? Mee ing and hea ing 100 people du -
ing a ace- o- ace wo kshop was a challenge in one o he example cases. As he ac ual each o digi al
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pla o ms can easily be 10.000+ people, how o make su e hose people s ill eel hea d and can make a sig-
ni ican con ibu ion? App oaches om compu e linguis ics such as a sen imen analysis discussed in pa -
ag aph 4.4 a e dedica ed o make la ge scale use eedback easible and ensu e anspa ency be ween a pub-
lic o e and sugges ions o u he planning.
4.1. Pa icipan selec ion
One o he p ominen heo e ical and p ac ical challenges in pa icipa o y u ban planning is he non- ep esen a i e
pa icipan selec ion [30, 74]. Cu en ways o o ganize public pa icipa ion a e:
1. In i ing pa icipan s ep esen ing s akeholde o ganiza ions [9]
2. In i ing all membe s o he ele an public by mail, pape s, billboa ds, adio and ele ision [9, 75]
3. Using online su eys o each he comple e ele an public [76]
As has been a gued [9] he i s way will lead o he phenomenon called “usual suspec s” wi h ob ious challenges.
The las wo ha e ano he challenge o cope wi h called “non- esponse bias” o “selec ion bias”. The h ead o
“non- esponse bias” in adi ional sample su eys is long known [see .i. 77]. The highe he h eshold o pa icipa-
ion, he bigge he isk o “non- esponse”. So mail su eys show an e en lowe “non- esponse” a e han pa icipa-
ion mee ings a ci y own halls [78]. “Non- esponse” leads o an inc ease in a iance as a esul o a educ ion in he
ac ual size o he sample and he ecou se o impu a ion. This p oduces a bias i he non- esponden s ha e cha ac e -
is ics o in e es ha a e di e en om hose o he esponden s. Fu he mo e, he e is a isk o signi ican ly unde -
es ima ing he sampling e o , i impu ed da a a e ea ed as hough hey we e obse ed da a [79, p.59]. Jüni and
Ma hias [80] desc ibe a o m o selec ion bias in hei esea ch called a i ion (loss o pa icipan s). This o m o
selec ion bias in ol es d opou , non- esponse, wi hd awal and p o ocol de ia o s. In hei esea ch, he example o a
die ing es is men ioned. In his example, he esea che simply ejec s e e yone who d ops ou o he ial, when
mos o he ones who d op ou a e hose o whom he ea men isn’ wo king. We see he same e ec s happen in
pa icipa ion in u ban planning. Conce ning he hi d way, he phenomenon o sel -selec ion bias leads o di e ences
o up o 300% in esul s e ie ed om a o al popula ion in con as o sel - ec ui ing pa cipan s in online su eys
[81]. In li e a u e h ee mode n ways o o e come “selec ion bias” can be ound:
1. Finding pa icipan s in ele an s akeholde o ganiza ions, bu h ough opinion leade s [see .i. 82]
2. Sampling by ep esen a ion ia andom lo e ies [76]
3. Sampling ia indi ec me hods [83]
All h ee mode n ways a e p omising a enues o p e en ing selec ion bias in public pa icipa ion in u ban planning.
In ou i s ound o p o o yping [83], some i s esul s we e ound in an online ool o public pa icipa ion p o id-
ed his online ool was used in combina ion wi h o line ools. I will need u he esea ch and p o o yping o ind a
good mix o ools o public pa icipa ion ha will e lec he public opinion co ec ly wi hou selec ion bias.
4.2. Gami ied app oaches o pa icipa ion
Gami ica ion as he “use o game design elemen s in non-game con ex s” [84] p o ides mechanisms o enhance use
mo i a ion o pa icipa e and con ibu e o planning p ocesses. In o de o e ie e in o ma ion on his subjec , we
pe o med a li e a u e e iew including he da abases EBSCOHos , ACM Digi al Lib a y and Scopus.
Table 2. Ca ego ies o ci izen pa icipa ion in u ban planning [85]
Ca ego y
In o ma ion
Consul a ion
Collabo a ion
Desc ip ion
Ci izens in o m o a e being
in o med on ecen o u u e
plans, decisions and ac ions
Ci izens a e asked o
gi e inpu and eedback
(e.g. opinions, solu ions)
Ci izens and o he s ake-
holde s ac i ely wo k
oge he in decision-
making
Rela ion
One-way
Limi ed wo-way
Ad anced wo-way
Besides, by using he snowball p inciple, addi ional wo ks we e ound ha we e no co e ed by he da abase-d i en
keywo d sea ch. As discussed in de ail in [86], 188 publica ions we e e ie ed. Fo a clus e ing o indings we
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employed me hods o deduc i e quali a i e con en analysis [eg. 87], based on bo h heu is ic amewo ks [c . 88,
89] and induc i e s ages o quali a i e con en analysis. Acco ding o [85], h ee ways o ci izen pa icipa ion in
u ban planning can be dis inguished (c . Tab. 2). When i comes o in o ming he public, isualiza ion echniques
such as augmen ed eali y (AR) o e a a ie y o inno a i e solu ions o e ec i ely suppo in o ma ional pu poses,
including mobile de ices o display planning in-si u [90, 91]. Tha app oach can easily be gami ied, e.g. by imple-
men ing asks and high-sco es. In e ms o consul ing he public in ma e s o u ban planning, o ma s ocus on
ci izens as local expe s and s i e o collec neighbou hood knowledge by using mobile da a collec ion ools [92]
such as “S e eopublic” and “Widenoise” o cap u e noise le els and display hem on a map [93] o o o e on u ban
planning ideas using high-sco e lis s o aising use mo i a ion [93]. Ini ia ing an in ense p ocess o collabo a ion
be ween he public and p o essionals is he in en ion o a gami ied mobile app called “Communi y Ci cles”. I e-
wa ds use in e ac ions and con ibu ions ha e e o local u ban planning issues wi h digi al poin s [45]. Finally,
he web-based online pla o m “Communi y PlanI " is designed o assis ing u ban planning mee ings, ans o ming
an u ban ins ance in o a “mission” ha con ains game elemen s such as challenges, leade boa ds and in-game e-
wa ds. By comple ing hose missions, he ci izen con ibu es o he planning p ocess, ea ning i ual coins which
can be spen o suppo u ban concep s ha ame he opic [93]. Wha a e implica ions o a pla o m design? Fi s
o all, mobile de ices ob iously lowe ba ie s o pa icipa ion and aise he chance o add essing a wide ange o
pa icipan s. Mo eo e , hey allow displaying u ban design p oposals igh a he spo , which may os e in e es in
public pa icipa ion. Fu he mo e, gami ica ion s a egies show po en ial no only o a ouse cu iosi y o pa icipa-
ion o ma s bu also o imp o e long- e m use mo i a ion o pa icipa e. Commen ing and a ing design p oposals,
sha ing own ideas o playing goal- ela ed p ojec missions can be ewa ded wi h poin s o badges, while o ma s o
disco e y mo i a e people o explo e hei dis ic in o de o ind u ban issues o public in e es . A la e s ages,
isualiza ion echniques such as 3D en i onmen s and augmen ed eali y ske ches o u u e buildings show po en ial
o make u ban p ojec s mo e exci ing and angible.
4.3. Communica ing & decision making
One key challenge igge ed by he applica ion o digi al co-design ools in u ban planning is he o e all decision
making p ocess. In he con e gen (" a ional") phases o a design p ojec , esponsible decisions mus be made in
o de o selec an app op ia e solu ion om a mul i ude o al e na i es c ea ed in ea lie di e gen ("c ea i e") phas-
es. Besides he in o ma ion ha is gi en a public e en s o ci izens, online pla o ms p o ide a g ea e possibili y o
sha e and ga he da a belonging o a p ojec . This includes p oposals om he ci y, budge , ime schedules, di e en
media o ma s like pho os, ideos o 3d-models, commen s, people in ol ed, esul s o o ings and/o ankings, and
o example da a collec ions h ough websi e analysing ools. Bu e en echnical da a (e.g. legal amewo k, dimen-
sions o cons uc ions) should be a ailable o he c owd [94]. The amoun o da a depends on he le el o pa icipa-
ion [95]. A a lowe le el he con en comes om policy-make s, s akeholde o p o essionals ( op-down). The
mo e he ci izens a e allowed o pa icipa e, he mo e he e will be a c owdsou cing p ocess (bo om-up) [96]. Impli-
ca ions o a well done pla o m design a e di e se and a ec he in o ma ion i sel placed on he si e as well as he
way o communica e. The p oblem should be announced clea ly wi h all necessa y da a ha is a ailable, wi h an
in e es ing agenda, he goals ha ha e o be eached and why he public is needed [97]. Only hen he c owd will be
ac i a ed and be c ea i e o sol e issues[98]. The design o he use in e ace has o be usable o all po en ial use s
and allow accessibili y o all de ices (e.g. sma phone, PC). Mo eo e , he in o ma ion abou a p ojec has o be
anspa en , well unde s andable and unbiased o a oid aming e ec s [99]. I is e y impo an ha all use s ha e a
common unde s anding o he same subjec and do no eac in di e en ways. In he Bos on Sou hwes Co ido
p ojec , C ewe [100] ound ou ha “ he mo e designe s alue he inpu o ci izens, he mo e app op ia e hei de-
signs will be o he use s conce ned“. Fu he mo e, all in ol ed pe sons (s akeholde s, planne s, designe s, ci y
au ho i ies and he ci izens) ha e o ake pa wi hin he communica ion p ocess because all o hem ha e needs and
in e es s. I all in ol ed pa ies ake pa in he decision-making p ocess, hen you will show ha you ake he ci izen
se iously and o a oid he isk o esis ance [101]. Wi h he help o icons, pic u es, labels and u he desc ip ions,
he di e en oles can be made isible o e e y end use . Co esponding o he p o ile, use s ha e di e en igh s,
asks and possibili ies o a ec he pa icipa ion p ocess. As desc ibed in pa ag aph 3.1 he pa icipa ion p ocess
may consis s o se e al ounds wi h di e en asks and issues. Fo design pu poses digi al pla o ms ha e o com-