Abstract

Residence location and workplace are the two most important urban land-use types, and there exist strong interdependences between them. Existing researches often assume that one choice dimension is correlated to the other. Using the mixed logit framework, three groups of choice models are developed to illustrate such choice dependencies. First, for all households, this paper presents a basic methodology of the residence location and workplace choice without decision sequence based on the assumption that the two choice behaviors are independent of each other. Second, the paper clusters all households into two groups, choosing residence or workplace first, and formulates the residence location and workplace choice models under the constraint of decision sequence. Third, this paper combines the residence location and workplace together as the choice alternative and puts forward the joint choice model. A questionnaire survey is implemented in Beijing city to collect the data of 1994 households. Estimation results indicate that the joint choice model fits the data significantly better, and the elasticity effects analyses show that the joint choice model reflects the influences of relevant factors to the choice probability well and leads to the job-housing balance.

Highlights

  • Integrated land-use and transportation models are most important for both urban planning and transportation planning, and many researches have explored the interdependences between land-use and transportation systems

  • Estimations of the above models were implemented with maximum simulated likelihood (MSL) method proposed by Bhat and Guo [10]

  • This paper addresses five mixed logit models concerning location choices: residence location choice model without decision sequence, residence location choice model with decision sequence, workplace choice model without decision sequence, workplace choice model with decision sequence, and the joint residence-workplace location choice model

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Summary

Introduction

Integrated land-use and transportation models are most important for both urban planning and transportation planning, and many researches have explored the interdependences between land-use and transportation systems. Miyamoto et al [11] proposed a residential location choice model using mixed logit method and used a stochastic process to formulate the spatial correlation. Jiao and Harata [14] presented a mixed logit framework to identify residential location choice behavior in different households and integrated a “direct parametric representation” approach to capture the correlation between spatial units, as well as a comprehensive structure of zonal accessibility to reflect the effects of employment, school, shopping, and recreational opportunities. Waddell et al [18] developed a discrete choice model of joint residence location and workplace choice using methods of latent market segmentation for one-worker households and put forward a methodology for accommodating different sequential decision-making processes. Conclusions and further researches are summarized in the last section

Residence Location and Workplace Choices without Decision Sequence
Residence Location and Workplace Choices with Decision Sequence
Joint Residence-Workplace Location Choice
Estimation Results and Elasticity Effects Analyses
Conclusions
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