Case Studies
Oct 17, 2014

Impact of Transportation Convenience, Housing Affordability, Location, and Schooling in Residence Choice Decisions

Publication: Journal of Urban Planning and Development
Volume 141, Issue 4

Abstract

This paper aims to investigate the impacts of housing affordability, which can be denoted as the ratio of housing price (HP) and monthly expense per person (EXP), travel time to the city center, distance to a subway station, and schooling on residents’ apartments purchasing behavior in Dalian, China. The paper employed a logit model based on stated preference (SP) data. Results show that travel time to the city center (by subway) and housing affordability have negative effects on individual utility. This reveals that residents tend to buy apartments near the city center based on their income. Considering a series of negative external factors, distance to a subway station is positive to utility. Moreover, the willingness for residents to pay for different attributes varies according to their levels of EXP. At last the elasticity of different variables is analyzed and 180 additional data points are used to test the model. The testing result shows that the model can satisfy the basic requirement.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China (Grant No. 51278087) and the National High Technology Research and Development Program of China (863 Program) (Grant No. 2014AA110302-1).

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Go to Journal of Urban Planning and Development
Journal of Urban Planning and Development
Volume 141Issue 4December 2015

History

Received: Jan 13, 2014
Accepted: Sep 15, 2014
Published online: Oct 17, 2014
Discussion open until: Mar 17, 2015
Published in print: Dec 1, 2015

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Ph.D. Candidate, School of Transportation and Logistics, Faculty of Infrastructure Engineering, Dalian Univ. of Technology, Dalian, Liaoning 116023, China (corresponding author). E-mail: [email protected]
Shengchuan Zhao [email protected]
Professor and Dean, School of Transportation and Logistics, Faculty of Infrastructure Engineering, Dalian Univ. of Technology, Dalian, Liaoning 116023, China. E-mail: [email protected]

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