Eu opean T anspo T aspo i Eu opei (2025) Issue 103, Pape n° 1, ISSN 1825-3997
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Re iew o Landuse T anspo a ion In e ac ion Model
in Sma U ban G ow h Managemen
Shashikan Nishan Sha ma1; Ka i a Dehalwa 2
1 Depa men o Planning and A chi ec u e, Maulana Azad Na ional Ins i u e o Technology Bhopal
462003, MP India
Co esponding Au ho : u [email protected]
2 Assis an P o esso , Depa men o Planning and A chi ec u e, Maulana Azad Na ional Ins i u e o
Technology Bhopal 462003, MP India
Email: d .kdman[email p o ec ed]
Abs ac
Land use and anspo a ion sys ems play a i al ole in shaping he dynamics o u ban a eas, wi h
p o ound implica ions o sus ainabili y, mobili y, and quali y o li e. Resea che s and policymake s ha e
de eloped a ious Land Use T anspo a ion In e ac ion (LUTI) models o unde s and he in ica e
ela ionship be ween land use and anspo a ion. These models aim o cap u e he complex in e ac ions
be ween land-use pa e ns and anspo a ion sys ems, enabling mo e in o med planning and decision-
making p ocesses. This s udy p o ides a comp ehensi e e iew o he applicabili y o LUTI models,
highligh ing hei s eng hs, limi a ions, and po en ial o add essing con empo a y u ban challenges. This
e iew encompasses many LUTI models, including mic osimula ion, spa ial econome ic, and in eg a ed
land-use anspo models. I examined he unde lying heo e ical ounda ions, da a equi emen s,
calib a ion echniques, and compu a ional aspec s. This e iew iden i ies key ac o s in luencing he
applicabili y o LUTI models, such as da a a ailabili y, compu a ional capabili ies, and he speci ic u ban
con ex in which hey a e applied. I explo es he challenges aced in in eg a ing land-use and anspo a ion
da a, inco po a ing empo al dynamics, and cap u ing he impac s o policy in e en ions.
Keywo ds: Landuse, T anspo a ion, Landuse T anspo a ion, Landuse T anspo a ion In e ac ion Model,
LUTI model
In oduc ion
Sus ainabili y is a compelling opic in global ci ies, pa icula ly in he con ex o a ious
de elopmen concep s. U ban sus ainabili y is o pa icula conce n in u ban
de elopmen . I is widely acknowledged ha land use a angemen signi ican ly
in luences he sus ainabili y o ci ies (Tu uko e al., 2022). As he popula ion expanded,
he need o land inc eased, leading o he u ilisa ion o land esou ces known as "land
use." In India, he impo ance o land-use planning has inc eased owing o he sca ci y o
land (S. Sha ma e al., 2023). The o igin o Land Use T anspo a ion In e ac ion (LUTI)
models can be aced back o he mid-20 h cen u y, when u ban planning and
anspo a ion s udies began ecognising he in e dependen ela ionship be ween land use
pa e ns and anspo a ion sys ems (Lopane e al., 2023). The unde s anding ha land use
and anspo a ion decisions in luence each o he and join ly shape u ban de elopmen
led o he de elopmen o in eg a ed modelling app oaches and he p omo ion o
ansi ion-o ien ed de elopmen o sus ainable u ban g ow h (Shah ia i e al., 2023;
Eu opean T anspo T aspo i Eu opei (2025) Issue 103, Pape n° 1, ISSN 1825-3997
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Sha ma e al., 2024; Sha ma & Dehalwa , 2025). The ini ial concep ual ounda ions o
he LUTI models can be a ibu ed o he wo k o u ban economis s and anspo a ion
planne s. Schola s such as William Alonso, Da id Badoe, and E ic Mille ha e made
signi ican con ibu ions o he heo e ical unde s anding o land use and anspo a ion
in e ac ions (Badoe & Mille , 2000). Alonso's pionee ing wo k on he bid- en heo y in
he 1960s p o ided insigh s in o he ela ionship be ween land alue, accessibili y, and
anspo a ion in as uc u e (Gao e al., 2020). As u ban a eas expand and encoun e
g owing mobili y challenges, he need o quan i a i e models o cap u e he complex
in e play be ween land use and anspo a ion becomes inc easingly appa en (Le e al.,
2023). Wi h he ad en o compu e s and ad ancemen s in da a a ailabili y, esea che s
ha e s a ed de eloping o mal modelling amewo ks o simula e and analyse he
in e ac ions be ween land use and anspo a ion sys ems (Zhong e al., 2022).
LUTI models p o ide a comp ehensi e unde s anding o how changes in one domain
a ec he o he (Lopes e al., 2019). LUTI models we e designed o cap u e bo h he
spa ial and empo al dimensions o land-use and anspo a ion in e ac ions. They
simula ed he mo emen o people and goods ac oss u ban a eas, aking in o accoun
a el demand, mode choice, ou e selec ion, and a el imes. These models also accoun
o he eedback loops be ween land use and anspo a ion, whe ein changes in
anspo a ion in as uc u e and accessibili y in luence land use decisions, and ice e sa.
(Ahasan & Güne alp, 2022). Ad ances in compu ing echnology, da a a ailabili y, and
analy ical echniques ha e acili a ed he de elopmen o LUTI models. To calib a e and
alida e hei ou pu s, hese models inco po a e a ious da a sou ces, including land-use
su eys, anspo a ion ne wo k da a, demog aphic da a, and a el beha io su eys.
Addi ionally, spa ial analysis ools, econome ic modeling echniques, and simula ion
algo i hms ha e been employed o cap u e he complex dynamics o land use and
anspo a ion in e ac ions (Kii e al., 2019).
The applica ion o LUTI models has ex ended o a ious u ban planning and policy
domains. They e alua ed he impac s o anspo a ion in as uc u e in es men s, land-
use policy changes, and ansi -o ien ed de elopmen s a egies. LUTI models can assess
he e ec s o al e na i e scena ios on a el pa e ns, conges ion le els, ene gy
consump ion, ai quali y, and social equi y, hus enabling policymake s o make in o med
decisions (Amalan e al., 2023). LUTI models ha e e ol ed in ecen yea s o inco po a e
eme ging echnologies and concep s such as big da a analy ics, machine lea ning, and
sha ed mobili y se ices. These ad ancemen s enhance he accu acy and p edic i e
capabili ies o models, enabling a mo e obus unde s anding o he complex dynamics
be ween land use and anspo a ion. (Kii e al., 2019). This s udy aims o p o ide a
comp ehensi e e iew o he applicabili y, s eng hs, limi a ions, and u u e di ec ions o
LUTI models. I explo es he heo e ical ounda ions, da a equi emen s, modelling
echniques, and p ac ical implica ions o LUTI models o u ban planning and
policymaking. By unde s anding he complexi ies o land-use and anspo a ion
in e ac ions, policymake s and planne s can de elop mo e sus ainable, e icien , and
li able u ban en i onmen s.
Me hodology
We conduc ed a sys ema ic li e a u e e iew wi h a igo ous and comp ehensi e
app oach o iden i y, e alua e, and syn hesise exis ing esea ch on speci ic land
anspo a ion in e ac ion models o sma u ban g ow h.
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Fig. 2 Roadmap o E idence syn hesis used in his s udy (Cook & Wes , 2012).
We sea ched mul iple da abases, wi h a p ima y ocus on Scopus, ScienceDi ec , and
Google Schola , selec ing ele an s udies based on p ede ined c i e ia and c i ically
app aising hei quali y. By analysing and summa ising he indings, a sys ema ic
li e a u e e iew p o ides an e idence-based o e iew o he cu en s a e o knowledge
in his ield.
Fig. 1. Sys ema ic Li e a u e Re iew om Scopus Da abase (Page e al., 2021)
Eu opean T anspo T aspo i Eu opei (2025) Issue 103, Pape n° 1, ISSN 1825-3997
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A o al o 1,006 sea ch e ms ela ed o he " land-use anspo a ion model we e used
o ini ia e he sea ch. The sea ch esul s we e limi ed o s udies published be ween 2013
and 2025, wi h 614 s udies, ocusing on ecen esea ch. O he ini ial sea ch esul s, 137
esea ch pape s we e deemed ele an based on he a ailabili y o open-access con en .
Among he app op ia e pape s, 71 we e iden i ied as ela ed o he domain o u ban
planning. Abs ac eading na owed he selec ion o 53 ele an pape s based on hei
abs ac s. Finally, a de ailed s udy was conduc ed on 46 pape s deemed highly ele an
based on hei con en and con ex .
These sc eening c i e ia helped e ine he ini ial sea ch esul s and ensu e ha he
selec ed s udies we e ecen , esea ch- ocused, accessible, and di ec ly ele an o he
opic o "Landuse T anspo a ion Model."
Findings and Discussion
Analysis o he A ailable Li e a u e
Fig. 1. Keywo d analysis o assess he impac o he LUTI model.
The e ol ing landscape o Land Use and T anspo a ion In eg a ion (LUTI) models has
been e iden in he documen ed esea ch ou pu o e he pas decade, ocusing on
eme ging uses and applica ions. The analysis e ealed a no able inc ease in schola ly
con ibu ions o e he yea s, signi ying g owing in e es in ha nessing LUTI models o
di e se pu poses. In 2013, he e we e ou documen s and he e has been a consis en
upwa d end since. By 2018, he numbe o documen s doubled, and he momen um
con inued wi h no able peaks in 2021 and 2025, wi h 10 and eigh documen s,
espec i ely. This su ge in esea ch ou pu sugges s inc easing ecogni ion o he
Eu opean T anspo T aspo i Eu opei (2025) Issue 103, Pape n° 1, ISSN 1825-3997
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signi icance o LUTI models in add essing con empo a y u ban planning and
anspo a ion challenges. This documen ed ajec o y unde sco es he dynamic na u e o
he ield, e lec ing he con inuous explo a ion and adap a ion o LUTI models o
eme ging needs, echnological ad ancemen s, and e ol ing u ban landscapes. The
inc easing numbe o publica ions o e he yea s sugges s a ma u ing ield wi h
expanding ho izons and g owing acknowledgemen o he c ucial ole o LUTI models in
shaping sus ainable and esilien u ban u u es.
This analysis del es in o he global dis ibu ion o schola ly documen s ela ed o LUTI
model applica ions, o e ing insigh s in o he coun ies and e i o ies a he o e on o
R&D. The Uni ed Kingdom and he Uni ed S a es s and ou , wi h 13 documen s each,
e lec ing hei ac i e in ol emen in explo ing LUTI applica ions. F ance and I aly
ollow closely wi h 10 and six documen s, espec i ely, indica ing a obus in e es in
hese Eu opean na ions. China and Spain demons a ed a no able p esence in he ield
wi h i e documen s each, while Aus alia, Belgium, and G eece con ibu ed h ee
documen s each. The Ne he lands, Canada, Ge many, Saudi A abia, and Swi ze land
exhibi mode a e engagemen , wi h wo documen s each. Se e al coun ies, including
Colombia, Denma k, Hong Kong, I eland, Japan, Luxembou g, Mexico, Poland,
Singapo e, Slo enia, Sou h A ica, Sou h Ko ea, S i Lanka, and Taiwan, a e ep esen ed
in a single documen .
Fig. 4. Geog aphical dis ibu ion o Case S udies o he LUTI model.
This di e se geog aphical dis ibu ion unde sco es global in e es and collabo a i e
e o s in ad ancing LUTI applica ions, wi h po en ial implica ions o u ban
de elopmen and anspo a ion solu ions on an in e na ional scale.
The explo a ion o Land Use and T anspo a ion In eg a ion (LUTI) applica ions is
well- ep esen ed in he academic li e a u e, encompassing a ious documen ypes ha
collec i ely con ibu e o he unde s anding and ad ancemen o his in e disciplina y
ield. A o al o 51 a icles signi y he dep h and b ead h o he o iginal esea ch dedica ed
o LUTI applica ions, highligh ing di e se pe spec i es on he symbio ic ela ionship
be ween land-use pa e ns and anspo a ion in as uc u e. Con e ence pape s 7
unde sco e ac i e schola ly engagemen and dissemina e new insigh s wi hin academic
Eu opean T anspo T aspo i Eu opei (2025) Issue 103, Pape n° 1, ISSN 1825-3997
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ci cles. Re iews comp ising i e documen s p o ide c i ical syn heses o exis ing
knowledge and o e aluable pe spec i es on he s a e o LUTI applica ion esea ch.
Addi ionally, a single book chap e en iches he discou se by comp ehensi ely explo ing
LUTI applica ions in he b oade con ex o u ban planning and anspo a ion s udies.
This a ied a ay o documen ypes e lec s he dynamic and e ol ing na u e o LUTI
applica ion esea ch, showing a combina ion o empi ical s udies, collabo a i e
discussions, and comp ehensi e e iews ha collec i ely con ibu e o he g ow h o
knowledge in his c i ical ield.
LUTI Model – Ma hema ical Exp ession
The Land Use T anspo a ion In e ac ion (LUTI) model is a ype o in eg a ed
u ban model ha simula es he wo-way ela ionship be ween land use (e.g., esiden ial,
comme cial, and indus ial ac i i ies) and anspo a ion sys ems (e.g., oads and ansi
ne wo ks). These models a e pa icula ly use ul o e alua ing he impac o land-use
policies and in as uc u e in es men s on u ban g ow h, a el demand, and accessibili y
o e ime.
Co e Concep :
The LUTI model cap u es he eedback loop.
Land use pa e ns a ec he a el demand.
T anspo a ion sys ems a ec accessibili y.
Accessibili y in luences land-use decisions.
Gene ic Ma hema ical F amewo k
A ypical LUTI model in eg a es hese wo sys ems.
1. Land Use Submodel
This simula es he loca ion decisions o he households and i ms.
Residen ial Loca ion U ili y (U<sub> h</sub>)
U h=β1C h+β2A h+β3E h+ε h
Whe e:
U h: U ili y o household hhh choosing esidence a loca ion
C h: Cos o li ing/housing a loca ion
A h: Accessibili y o (de i ed om anspo a ion model)
E h: En i onmen al/ameni y a iables
ε h: Random e o ( o cap u e unobse ed p e e ences)
Disc e e Choice Fo mula ion (logi )
P h= 𝑃𝑟ℎ= eU h
∑keUkh
A simila equa ion can be de eloped o a o m loca ion choice.
2. T anspo a ion Submodel
This uses a el demand models (o en ou -s ep o ac i i y-based) o simula e a el
lows based on land use pa e ns.
S ep: T ip Dis ibu ion (G a i y Model)
𝑻𝒊𝒋=𝒌.𝑷𝒊⋅𝑬𝒋
𝒇(𝑪𝒊𝒋)
Whe e:
Tij: T ips om zone iii o zone jjj
Pi: T ip p oduc ion (based on land use)
Ej: T ip a ac ion
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(cij): T a el impedance (o en exponen ial o powe unc ion o a el ime/cos )
S ep: Mode Choice (Logi )
𝑷𝒊𝒋
(𝒎) =𝒆𝑽𝒊𝒋
(𝒎)
∑𝒆𝑽𝒊𝒋
(𝒎)
𝒎
Whe e 𝑽𝒊𝒋
(𝒎) is he u ili y o mode m o a el be ween i and j, based on ime, cos , and
socio-economic a iables.
3. Accessibili y Indica o
Key linkages om anspo back o land use.
Example: Hansen- ype accessibili y index
𝑨𝒊=∑ 𝑬𝒋
𝒇(𝑪𝒊𝒋)
`
𝑗
Whe e:
Ai: Accessibili y o zone i
Ej: Oppo uni ies (jobs, ameni ies) in zone j
cij: T a el cos / ime be ween iii and j
In e ac ion P ocess
The LUTI model i e a i ely upda es
1. Land use → gene a es popula ion/jobs → p oduces ips
2. T anspo a ion model → assigns ips → calcula es accessibili y
3. Accessibili y → a ec s u ili y in land-use model → upda es land use
This is epea ed o e ime (e.g., e e y i e yea s in he planning ho izon).
Table 1: Common LUTI Model Examples
Model
Name
Key Fea u es
Ma hema ical Base
Re e ences
MEPLAN
Land-use and anspo
in equilib ium
En opy-maximizing;
Inpu -ou pu economics
(Lopane e al.,
2023)
TRANUS
In eg a ed u ban and
egional simula ion
Logi models o choice
beha io
(Johns on & De
La Ba a, 2000)
DELTA
Dynamic land-use
o ecas ing
Disc e e choice models
+ economic ac o s
(Sa i e al., 2023)
U banSim
Mic osimula ion-based
LUTI model
Agen -based +
econome ic choice
models
(Pa ishwad e al.,
2023)
Below is a abula analysis able o he me hodology and applica ions o he LUTI (Land
Use and T anspo a ion In e ac ion) model:
Eu opean T anspo T aspo i Eu opei (2025) Issue 103, Pape n° 1, ISSN 1825-3997
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Table 2: Me hodology and applica ions o he LUTI (Land Use and T anspo a ion
In e ac ion) model
Aspec
Me hodology
Applica ions
Model Type
In eg a ed modeling o land use
and anspo a ion p ocesses,
o en agen -based o cellula
au oma a
U ban and egional planning
Da a Sou ces
Census da a, land use da a,
anspo a ion ne wo ks,
household su eys, economic
indica o s
Fu u e scena io planning and
T anspo a ion policy
analysis
Spa ial Scale
En i e ci ies o egions)
U ban and egional scale
analysis T anspo a ion
ne wo k op imiza ion
Tempo al Scale
Sho o long- e m (daily pa e ns
o se e al decades)
Fo ecas ing land use changes
o e ime.
E alua ing he impac o
anspo a ion p ojec s
Componen s
Land use alloca ion
T anspo a ion ne wo k modeling
Agen -based modeling o
indi idual beha io
T anspo a ion demand
modeling
Accessibili y and
connec i i y analysis
Impac assessmen o policy
in e en ions
In eg a ion
Simul aneous modeling o land
use and anspo a ion p ocesses,
eedback loops be ween he wo
Coo dina ion o land use and
anspo a ion plans
Challenges
Da a in eg a ion challenges
Calib a ion and alida ion o
he model
Compu a ionally in ensi e
Handling unce ain ies in
u u e p ojec ions
Ad an ages
Cap u es in e ac ions be ween
land use and anspo a ion
dynamics
P o ides a holis ic iew o u ban
sys ems
Suppo s in o med decision-
making in u ban and
anspo a ion planning
Enables scena io es ing and
policy analysis
Limi a ions
Sensi i i y o inpu da a quali y
and assump ions
Model calib a ion challenges
Complexi y may equi e
specialized expe ise
May no accoun o dynamic
social beha io s
This able p o ides a s uc u ed o e iew o he me hodology and applica ions o he
LUTI model,
highligh ed key aspec s such as model ype, da a sou ces, spa ial and empo al scales,
componen s, in eg a ion, challenges, ad an ages, and limi a ions.
Da a Requi emen s
The Land Use T anspo a ion In e ac ion (LUTI) model elies hea ily on accu a e and
comp ehensi e da a o cap u e and simula e he complex ela ionships be ween land use
pa e ns and anspo a ion sys ems in u ban a eas (Adh a yu & Kuma , 2021). The da a
equi emen s o LUTI models a e c ucial o ensu ing he eliabili y, accu acy, and
ele ance o model ou pu s. The ollowing a e he key da a equi emen s o e ec i e
LUTI modeling.
Eu opean T anspo T aspo i Eu opei (2025) Issue 103, Pape n° 1, ISSN 1825-3997
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Land Use Da a: LUTI models equi e de ailed land use da a o ep esen he spa ial
dis ibu ion and cha ac e is ics o he di e en land use ypes wi hin he s udy a ea. This
includes in o ma ion on esiden ial, comme cial, indus ial, and ins i u ional land use,
open spaces, and anspo a ion in as uc u e. Land use da a should ideally include land
a ea, building densi y, loo a ea a ios, and employmen densi y (Nuissl & Sieden op,
2021).
T anspo a ion Ne wo k Da a: Accu a e ep esen a ion o anspo a ion in as uc u e
is essen ial o LUTI models. This includes de ailed da a on oad ne wo ks, such as
in o ma ion on link leng hs, capaci ies, speed limi s, and connec i i y. In addi ion, da a
on public anspo a ion ne wo ks, such as bus and ail sys ems, including ou e
in o ma ion, se ice equencies, and s op loca ions, a e essen ial o cap u ing he
mul imodal na u e o anspo a ion sys ems (Deepa e al., 2022).
T a el Beha io Da a: To simula e a el pa e ns and mode choice, LUTI models
equi e da a on a el beha io , including o igin-des ina ion ma ices, ip equencies,
ip pu poses, and mode sha es. These da a p o ide insigh s in o commu ing pa e ns, ip
leng hs, a el imes, and mode p e e ences, enabling models o cap u e ealis ic a el
demand (Wan e al., 2019).
Socioeconomic da a: Socioeconomic da a a e essen ial o unde s anding he
demog aphic and economic cha ac e is ics o he s udy a ea and hei in luence on land
use and anspo a ion in e ac ions. This includes da a on popula ion dis ibu ion,
household size, income le el, employmen sec o , and o he socioeconomic indica o s.
Socioeconomic da a p o ide insigh s in o a el beha io , esiden ial loca ion choices,
and employmen pa e ns (Jain & Tiwa i, 2019).
Policy and In e en ion Da a: LUTI models o en inco po a e he impac s o policy
in e en ions and land-use egula ions on land-use and anspo a ion dynamics. Da a on
exis ing and p oposed policies, zoning egula ions, de elopmen plans, and anspo a ion
in es men s a e necessa y o simula e he e ec s o policy scena ios accu a ely. These
da a enable he e alua ion o al e na i e planning, policy op ions, and hei po en ial
implica ions (Sa i e al., 2023).
En i onmen al and In as uc u e Da a: En i onmen al ac o s, such as ai quali y,
noise le els, and accessibili y o ameni ies, a e inc easingly essen ial conside a ions in
LUTI modeling. Da a on en i onmen al indica o s, in as uc u e condi ions, and
accessibili y measu es, such as p oximi y o pa ks, schools, heal hca e acili ies, and e ail
cen e s, enhance he abili y o he model o assess he impac o land use and
anspo a ion on en i onmen al sus ainabili y and quali y o li e (Rao e al., 2021).
Calib a ion and Valida ion o LUTI model
Calib a ion and alida ion a e essen ial in de eloping and applying Land Use
T anspo a ion In e ac ion (LUTI) models. Calib a ion in ol es adjus ing he model
pa ame e s and inpu s o ensu e ha he simula ed ou pu s accu a ely ep esen eal-wo ld
condi ions. Con e sely, he alida ion assesses he model's pe o mance by compa ing i s
ou pu s wi h he obse ed da a. Bo h calib a ion and alida ion a e c i ical o enhancing
he eliabili y and p edic i e powe o he LUTI models.
Calib a ion:
Calib a ion in ol es adjus ing he model pa ame e s and inpu s o ma ch he obse ed
beha io and condi ions in he s udy a ea. The calib a ion aims o minimize he
disc epancy be ween he model ou pu s and obse ed da a, ensu ing ha he model
accu a ely ep esen s he ela ionship be ween land use and anspo a ion. S anda d
calib a ion echniques include ial-and-e o adjus men s, op imiza ion algo i hms, and
s a is ical me hods.
