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.
2019
Zuo, Z.; Pan, X.; Wang, L.; Feng, T.
Stochastic traffic-assignment with multi-modes based on bounded rationality Book
2019, ISSN: 21903026.
Abstract | Links | BibTeX | Tags: Bounded rationality, Cumulative prospect theory, TODIM method, Travel behavior, Variable demands
@book{Zuo2019,
title = {Stochastic traffic-assignment with multi-modes based on bounded rationality},
author = {Z. Zuo and X. Pan and L. Wang and T. Feng},
doi = {10.1007/978-981-13-7542-2_5},
issn = {21903026},
year = {2019},
date = {2019-01-01},
journal = {Smart Innovation, Systems and Technologies},
volume = {127},
abstract = {This paper proposes a stochastic traffic assignment model with multi-modes incorporating the concept of bounded rationality. Multi-criteria decision is considered using TODIM (which stands for “multi-criteria, interactive decision making” in Portuguese) method to generate variable demands, route uncertainty is taken into account based on cumulative prospect theory to measure route choice behavior. A numerical example is used to verify the validity of the new model. The sensitivity of the scaling parameters for the mode and route choice is also analyzed. Results confirmed the model’s applicability and showed that travelers’ preferences on different routes are reference dependent. Two scaling parameters have a significant influence on the final results and must be estimated very carefully from real data.},
keywords = {Bounded rationality, Cumulative prospect theory, TODIM method, Travel behavior, Variable demands},
pubstate = {published},
tppubtype = {book}
}
This paper proposes a stochastic traffic assignment model with multi-modes incorporating the concept of bounded rationality. Multi-criteria decision is considered using TODIM (which stands for “multi-criteria, interactive decision making” in Portuguese) method to generate variable demands, route uncertainty is taken into account based on cumulative prospect theory to measure route choice behavior. A numerical example is used to verify the validity of the new model. The sensitivity of the scaling parameters for the mode and route choice is also analyzed. Results confirmed the model’s applicability and showed that travelers’ preferences on different routes are reference dependent. Two scaling parameters have a significant influence on the final results and must be estimated very carefully from real data.