Bi-level Modelling For Linking Transport
Activities With Location Choice In The Urban Area
Author(s)
D. Parikesit
Abstract
Linking transport activities and location choice has been a subject of various
researches. Recent works of Chang and Macket on bi-level modelling (BLM)
and the mixed-spatially correlated logit (MSCL) model from Bhat and Guo have
paved the way to develop a combination of both approaches in describing the
two way relation between land use and transport. This paper examines further
development of the approaches for two income levels and their implications on
the transport demand estimation for the city of Yogyakarta, Indonesia.
The result shows that the bi-level modelling is an appropriate approach to
estimate the location choice and thus gives a better estimate of the travel demand
to urban locations. The case study demonstrates that land value (in 10-4 Rp/m2)
for the higher income group has a demand elasticity of -2.05 to the distance and
the lower income group is -1.38. The research has indicated that the lower
income group is affected by an inversed comparable-distance from the city
centre. The equation can be used for policy makers to improve transport planning
for the urban poor. Future works should be directed to provide theoretical and
empirical foundation for disaggregated travel demand for lower income groups
living in the urban core.
Keywords: bi-level modelling, land use, transport impedance, income
distribution, urban location.
1 Introduction
Estimation and understanding of urban travel demand has been instrumental to
develop proper policies and strategies in both regulatory frameworks and in the
allocation of resources. The review of the World Bank [1] has identified that
Keywords
bi-level modelling, land use, transport impedance, income
distribution, urban location.
Related Book
Other papers in this volume
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