2022
Chen, Chao; Feng, Tao; Gu, Xiaoning; Yao, Baozhen
Investigating the effectiveness of COVID-19 pandemic countermeasures on the use of public transport: A case study of The Netherlands Journal Article
In: Transport Policy, vol. 117, pp. 98–107, 2022, ISSN: 0967-070X.
Abstract | Links | BibTeX | Tags: COVID-19 pandemic, Error component latent class choice model, Public transport, Taste variation, Travel behavior
@article{cd8c66995497429ba47116d41341c4f0,
title = {Investigating the effectiveness of COVID-19 pandemic countermeasures on the use of public transport: A case study of The Netherlands},
author = {Chao Chen and Tao Feng and Xiaoning Gu and Baozhen Yao},
url = {https://www.sciencedirect.com/science/article/pii/S0967070X22000051},
doi = {10.1016/j.tranpol.2022.01.005},
issn = {0967-070X},
year = {2022},
date = {2022-03-01},
urldate = {2022-03-01},
journal = {Transport Policy},
volume = {117},
pages = {98--107},
publisher = {Elsevier},
abstract = {During the COVID-19 pandemic, public transport in many cities faces dramatic reduction of passenger demand. Various countermeasures such as social distancing and in-vehicle disinfection have been implemented to reduce the potential risks concerning infection, the effectiveness in promoting the use of public transport however remains unclear. Unlike the usual situation where time and cost are the main factors affecting travel decisions, the uncertainty hiding behind the behavior change of public transport users in a pandemic might be greatly affected by the control measures and the perception of people. This paper therefore aims to examine the effects of COVID-19 related countermeasures implemented in public transport on individuals' travel decisions. We explore the extent to which do policy countermeasures influence different groups of people on the use of public transport. An error component latent class choice model was estimated using the data collected in the Netherlands. Results show that the restrictions policy lifted by the Dutch central government have significant effect on individuals' transportation mode choice decision during the pandemic. The related measures adopted by the public transport sector, by contrast, present different effects on different people. The older and highly educated people are more susceptible to enforcement measures, whereas young and single Dutch citizens are more accessible to non-compulsory measures. Moreover, compared with other private modes, public transport is generally identified as a riskier option, and the average willingness to travel descends. Findings of this study are helpful for the authorities in designing and promoting effective policies in the context of pandemics.},
keywords = {COVID-19 pandemic, Error component latent class choice model, Public transport, Taste variation, Travel behavior},
pubstate = {published},
tppubtype = {article}
}
During the COVID-19 pandemic, public transport in many cities faces dramatic reduction of passenger demand. Various countermeasures such as social distancing and in-vehicle disinfection have been implemented to reduce the potential risks concerning infection, the effectiveness in promoting the use of public transport however remains unclear. Unlike the usual situation where time and cost are the main factors affecting travel decisions, the uncertainty hiding behind the behavior change of public transport users in a pandemic might be greatly affected by the control measures and the perception of people. This paper therefore aims to examine the effects of COVID-19 related countermeasures implemented in public transport on individuals’ travel decisions. We explore the extent to which do policy countermeasures influence different groups of people on the use of public transport. An error component latent class choice model was estimated using the data collected in the Netherlands. Results show that the restrictions policy lifted by the Dutch central government have significant effect on individuals’ transportation mode choice decision during the pandemic. The related measures adopted by the public transport sector, by contrast, present different effects on different people. The older and highly educated people are more susceptible to enforcement measures, whereas young and single Dutch citizens are more accessible to non-compulsory measures. Moreover, compared with other private modes, public transport is generally identified as a riskier option, and the average willingness to travel descends. Findings of this study are helpful for the authorities in designing and promoting effective policies in the context of pandemics.
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.