Modeling Urban Land Use Change: Integrating Remote Sensing with Socioeconomic Data - Computational Approaches for Urban Environments - page 287

Table 12.1 Detailed comparison of urban models

Model name Developer Purpose Va r i a b l e s Strengths Weakness

Vector based UrbanSim Waddell ( 2002 ) Predict land use,

physical
development, the
movement, and
location of
businesses and
households

Socioeconomic,
environmental parameters

Simulate the interaction
between urban activities
and the natural
environment

Deterministic model

What if Klosterman

( 1999 )

Determine what
will happen in
land use patterns
in the future if
policy choices are
made

Natural conditions, urban
infrastructure

Fully operational model in
adapting particular data
sets and policy concerns

Lack of a firm
theoretical basis

Area based Lichtenberg

( 1985 )and
Tayyebi et al.
( 2011 , 2013 )

Project the
proportions of
land use using
hedonic rent
theory and
acreage allocation
model

Based on Palmquist's
hedonic rent theory and
acreage allocation model
(Lichtenberg 1985 )

Easy to incorporate
available socioeconomic
data, such as age, income,
population, and rent

Long-term prediction
is not good

Markov Bell ( 1974 )and

Tang et al. ( 2007 )

Characterize the
land use/land

Multi-temporal change,
transition probabilities

Mathematically compact,
easy to implement

Does not account for
spatial context