2019
Gan, Z.; Feng, T.; Yang, M.
Exploring the effects of car ownership and commuting on subjective well-being: A nationwide questionnaire study Journal Article
In: Sustainability (Switzerland), vol. 11, iss. 1, 2019, ISSN: 20711050.
Abstract | Links | BibTeX | Tags: China, Commuting, Life satisfaction, Negative emotions, Ordered probit model
@article{Gan2019c,
title = {Exploring the effects of car ownership and commuting on subjective well-being: A nationwide questionnaire study},
author = {Z. Gan and T. Feng and M. Yang},
doi = {10.3390/su11010084},
issn = {20711050},
year = {2019},
date = {2019-01-01},
journal = {Sustainability (Switzerland)},
volume = {11},
issue = {1},
abstract = {How and to what extent household car ownership and commuting behavior affect individual subjective well-being (SWB) is of great interest for urban and transportation planning. Increasing attention has been paid to the associations between car ownership, commuting and SWB. However, only a limited number of studies examined the effects of travel-related factors on both cognitive and affective SWB aspects. This research empirically investigated the relationships from the two SWB aspects. Furthermore, we extend the modeling of generic cognitive SWB to several specific measures (e.g., satisfaction with life compared to a specific group of people, degree of free choice, social position, and social equality) to explore how car ownership and commuting behavior contribute to individual SWB. Drawing on the data derived from the 2014 China Labor-Force Dynamics Survey, a set of ordered probit models based on Bayesian inference are estimated. The findings point out that household car ownership has a significant effect on cognitive SWB but a limited influence on affective SWB. It appears that commuting time is significantly and negatively associated with individuals' cognitive and affective well-being, whereas a positive correlation is found between the commuting by bicycle and affective SWB. The effects of commuting time and transportation modes on different measured satisfactions with life have no big differences. Finally, results of the Wald tests indicate that incorporating household car ownership and commuting behavior into the modeling framework can significantly improve the prediction accuracy of individual SWB.},
keywords = {China, Commuting, Life satisfaction, Negative emotions, Ordered probit model},
pubstate = {published},
tppubtype = {article}
}
How and to what extent household car ownership and commuting behavior affect individual subjective well-being (SWB) is of great interest for urban and transportation planning. Increasing attention has been paid to the associations between car ownership, commuting and SWB. However, only a limited number of studies examined the effects of travel-related factors on both cognitive and affective SWB aspects. This research empirically investigated the relationships from the two SWB aspects. Furthermore, we extend the modeling of generic cognitive SWB to several specific measures (e.g., satisfaction with life compared to a specific group of people, degree of free choice, social position, and social equality) to explore how car ownership and commuting behavior contribute to individual SWB. Drawing on the data derived from the 2014 China Labor-Force Dynamics Survey, a set of ordered probit models based on Bayesian inference are estimated. The findings point out that household car ownership has a significant effect on cognitive SWB but a limited influence on affective SWB. It appears that commuting time is significantly and negatively associated with individuals’ cognitive and affective well-being, whereas a positive correlation is found between the commuting by bicycle and affective SWB. The effects of commuting time and transportation modes on different measured satisfactions with life have no big differences. Finally, results of the Wald tests indicate that incorporating household car ownership and commuting behavior into the modeling framework can significantly improve the prediction accuracy of individual SWB.
Wu, W.; Zhang, H.; Feng, T.; Witlox, F.
A network modelling approach to flight delay propagation: Some empirical evidence from China Journal Article
In: Sustainability (Switzerland), vol. 11, iss. 16, 2019, ISSN: 20711050.
Abstract | Links | BibTeX | Tags: Air transport network, China, Delay propagation probability, Flight delay propagation, Susceptible-infected-susceptible (SIS) model
@article{Wu2019,
title = {A network modelling approach to flight delay propagation: Some empirical evidence from China},
author = {W. Wu and H. Zhang and T. Feng and F. Witlox},
doi = {10.3390/su11164408},
issn = {20711050},
year = {2019},
date = {2019-01-01},
journal = {Sustainability (Switzerland)},
volume = {11},
issue = {16},
abstract = {This paper examines flight delay propagation in air transport networks. Delays add to additional costs, inefficiencies, and unsustainable development. An integrated flight-based susceptible-infected-susceptible (FSIS) model was developed to analyse the flight delay process from a network-based perspective. The probability of flight delay propagation was determined using a translog model. The model was applied to an airline network consisting of thirty-three routes involving three airlines. The results show that the propagation probability is network-related and varies across different routes. The variation is related to the flight frequencies at airports, route distances, scheduled buffer times, and the propagated delay time. Whereas buffer time has a greater impact on smaller airports, flight movement has a greater impact on larger airports. Having a better understanding of how delays happen can help the development of strategies to avoid them. This will lead to less costs, higher efficiencies, and more sustainable airport and airline development.},
keywords = {Air transport network, China, Delay propagation probability, Flight delay propagation, Susceptible-infected-susceptible (SIS) model},
pubstate = {published},
tppubtype = {article}
}
This paper examines flight delay propagation in air transport networks. Delays add to additional costs, inefficiencies, and unsustainable development. An integrated flight-based susceptible-infected-susceptible (FSIS) model was developed to analyse the flight delay process from a network-based perspective. The probability of flight delay propagation was determined using a translog model. The model was applied to an airline network consisting of thirty-three routes involving three airlines. The results show that the propagation probability is network-related and varies across different routes. The variation is related to the flight frequencies at airports, route distances, scheduled buffer times, and the propagated delay time. Whereas buffer time has a greater impact on smaller airports, flight movement has a greater impact on larger airports. Having a better understanding of how delays happen can help the development of strategies to avoid them. This will lead to less costs, higher efficiencies, and more sustainable airport and airline development.
Jiang, W.; Feng, T.; Timmermans, H.; Li, H.
Intention to move in renovated historical blocks in China Journal Article
In: Journal of Housing and the Built Environment, vol. 34, iss. 1, 2019, ISSN: 15737772.
Abstract | Links | BibTeX | Tags: China, Heterogeneity, Intention to move, Renovated historical block, Residential satisfaction
@article{Jiang2019,
title = {Intention to move in renovated historical blocks in China},
author = {W. Jiang and T. Feng and H. Timmermans and H. Li},
doi = {10.1007/s10901-018-9608-3},
issn = {15737772},
year = {2019},
date = {2019-01-01},
journal = {Journal of Housing and the Built Environment},
volume = {34},
issue = {1},
abstract = {Using data from 8 renovated historical blocks in China, the influence of social-demographic characteristics and residential satisfaction on the intention to move is analysed using multinomial logit models. To explore the observed and unobserved heterogeneity among individuals, a mixed logit model was adopted. The model results indicate that older residents and residents who live in blocks during the middle renovation stage are less interested in relocating. Higher residential satisfaction will lead to a lower intention to move house, and housing satisfaction and satisfaction with the living environment have a higher impact compared with satisfaction related to other residential dimensions. Moreover, the interaction between neighbourhood satisfaction and renovation stages was found influential, while the unobserved taste variation between residents was not identified.},
keywords = {China, Heterogeneity, Intention to move, Renovated historical block, Residential satisfaction},
pubstate = {published},
tppubtype = {article}
}
Using data from 8 renovated historical blocks in China, the influence of social-demographic characteristics and residential satisfaction on the intention to move is analysed using multinomial logit models. To explore the observed and unobserved heterogeneity among individuals, a mixed logit model was adopted. The model results indicate that older residents and residents who live in blocks during the middle renovation stage are less interested in relocating. Higher residential satisfaction will lead to a lower intention to move house, and housing satisfaction and satisfaction with the living environment have a higher impact compared with satisfaction related to other residential dimensions. Moreover, the interaction between neighbourhood satisfaction and renovation stages was found influential, while the unobserved taste variation between residents was not identified.