Co-dependent workplace, residence and commuting mode choice: Results of a multi-dimensional mixed logit model with panel effects

《Co-dependent workplace, residence and commuting mode choice: Results of a multi-dimensional mixed logit model with panel effects》

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作者: Jia Guo;Tao Feng;Harry J.P. Timmermans

来源: CITIES,Vol.96,Issue1,Article 102448

语言: 英文

关键字: Co-dependent choice;Joint choice;Stated choice experiment;Taste variation;Panel effects

作者单位: Urban Planning Group, Department of the Built Environment, Eindhoven University of Technology, PO Box 513, 5600MB Eindhoven, the Netherlands;Department of Air Transportation Management, Nanjing University of Aeronautics and Astronautics, Jiangjun Avenue, Jiangning District, Nanjing 211106, China;Urban Planning Group, Department of the Built Environment, Eindhoven University of Technology, PO Box 513, 5600MB Eindhoven, the Netherlands;Department of Air Transportation Management, Nanjing University of Aeronautics and Astronautics, Jiangjun Avenue, Jiangning District, Nanjing 211106, China

摘要: An effective instrument of urban planning to alleviate congestion is to create a job-housing balance, which depends on the co-localisation of housing and labour. This study is based on the contention that in response to dramatic change in their decision individuals and households maximize the combined utility of housing, job and commuting trips as opposed to maximizing their utility of one of these domains, treating the other dimensions as given, as many models assume. To support this contention, a stated choice experiment was designed to mimic the multidimensional choice behaviour of interest. Instead of creating an experimental design that is the same for all respondents, we generated an efficient design in which attribute values were pivoted using the real-world data of individual respondents. Based on data collected in Shenyang, China, a Mixed Multinomial Logit (MMNL) model with panel effects which allows for unobserved heterogeneity in individual preferences, was estimated to capture the effects of different residential, job and commuting attributes on multidimensional choice, accounting for the panel nature of the data. Our findings indicate that, 1) Housing tenure, size, price, distance to the bus stop, and housing location are important housing characteristics that help explaining the residential mobility choice process. Salary, job type, co-worker relationships and job environment are significant factors in the job mobility choice process. 2) Time-related factors influence commute mode choice. Choice of public transportation modes is sensitive to commuting costs while car mode choice is not. 3) People are relatively satisfied with their current situation and do not frequently make changes. Furthermore, people are less inclined to move house relative to changing job. 4) Both unobserved heterogeneity and demographic characteristics affect the multiple dimensions of choice.