2020
Guo, J.; Feng, T.; Timmermans, H. J. P.
Co-dependent workplace, residence and commuting mode choice: Results of a multi-dimensional mixed logit model with panel effects Journal Article
In: Cities, vol. 96, 2020, ISSN: 02642751.
Abstract | Links | BibTeX | Tags: Co-dependent choice, Joint choice, Panel effects, Stated choice experiment, Taste variation
@article{Guo2020c,
title = {Co-dependent workplace, residence and commuting mode choice: Results of a multi-dimensional mixed logit model with panel effects},
author = {J. Guo and T. Feng and H. J. P. Timmermans},
doi = {10.1016/j.cities.2019.102448},
issn = {02642751},
year = {2020},
date = {2020-01-01},
journal = {Cities},
volume = {96},
abstract = {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.},
keywords = {Co-dependent choice, Joint choice, Panel effects, Stated choice experiment, Taste variation},
pubstate = {published},
tppubtype = {article}
}
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.
2012
Arentze, T.; Feng, T.; Timmermans, H.; Robroeks, J.
In: Transportation, vol. 39, iss. 6, 2012, ISSN: 15729435.
Abstract | Links | BibTeX | Tags: Freight transport, Price policies, Route choice, Stated choice experiment
@article{Arentze2012,
title = {Context-dependent influence of road attributes and pricing policies on route choice behavior of truck drivers: Results of a conjoint choice experiment},
author = {T. Arentze and T. Feng and H. Timmermans and J. Robroeks},
doi = {10.1007/s11116-012-9391-z},
issn = {15729435},
year = {2012},
date = {2012-01-01},
journal = {Transportation},
volume = {39},
issue = {6},
abstract = {In this paper, we report the results of a stated choice experiment, which was conducted to examine truck drivers' route choice behavior. Of particular interest are the questions (i) what is the relative importance of road accessibility considerations via-a-vis traditional factors influencing route choice behavior, (ii) what are the influences of particular personal and situational variables on the evaluation of route attributes, (iii) how sensitive are truck drivers for possible pricing policies, and (iv) is there a difference in impact if environmental concerns are framed as a bonus or as a pricing instrument. The main findings indicate that road accessibility characteristics have a substantial impact on route preferences which is of the same order of magnitude as variation in travel times. This suggests that provision of adequate travel information in itself can be an effective instrument to prevent negative externalities of good transport associated with shortest routes. Furthermore, the results indicate that truck drivers/route planners when choosing a route are relatively sensitive to road pricing schemes and rather insensitive to environmental bonuses. © 2012 The Author(s).},
keywords = {Freight transport, Price policies, Route choice, Stated choice experiment},
pubstate = {published},
tppubtype = {article}
}
In this paper, we report the results of a stated choice experiment, which was conducted to examine truck drivers’ route choice behavior. Of particular interest are the questions (i) what is the relative importance of road accessibility considerations via-a-vis traditional factors influencing route choice behavior, (ii) what are the influences of particular personal and situational variables on the evaluation of route attributes, (iii) how sensitive are truck drivers for possible pricing policies, and (iv) is there a difference in impact if environmental concerns are framed as a bonus or as a pricing instrument. The main findings indicate that road accessibility characteristics have a substantial impact on route preferences which is of the same order of magnitude as variation in travel times. This suggests that provision of adequate travel information in itself can be an effective instrument to prevent negative externalities of good transport associated with shortest routes. Furthermore, the results indicate that truck drivers/route planners when choosing a route are relatively sensitive to road pricing schemes and rather insensitive to environmental bonuses. © 2012 The Author(s).