2021
Tian, Z.; Feng, T.; Timmermans, H. J. P.; Yao, B.
Using autonomous vehicles or shared cars? Results of a stated choice experiment Journal Article
In: Transportation Research Part C: Emerging Technologies, vol. 128, 2021, ISSN: 0968090X.
Abstract | Links | BibTeX | Tags: Autonomous vehicles, Car sharing, Shared autonomous vehicles, Sharing economy
@article{Tian2021,
title = {Using autonomous vehicles or shared cars? Results of a stated choice experiment},
author = {Z. Tian and T. Feng and H. J. P. Timmermans and B. Yao},
doi = {10.1016/j.trc.2021.103117},
issn = {0968090X},
year = {2021},
date = {2021-01-01},
journal = {Transportation Research Part C: Emerging Technologies},
volume = {128},
abstract = {With the development of vehicle automation and sharing economy, a mix of human-driven and autonomous vehicles can be expected in the next few decades, which means the conventional vehicles, carsharing, autonomous vehicles (AV) and shared AVs will coexist, affecting the way of travel. AVs, especially combined with shared use, may contribute to reduce or solve some of the present most intractable urban problems such as traffic congestion, crashes and wasted use of urban spaces. Given the emerging trend of new mobility options, understanding the decision of people in owning a private human-driven vehicle or private AV versus using a shared AV or joining car sharing would have important indications for policy makers to reduce car ownership in general. Therefore, this paper is devoted to gain insight into individuals’ propensity for purchasing an autonomous vehicle or using shared (autonomous) cars. Based on the data collected using a stated choice experiment, we estimated a random parameter error component model to identify the possible heterogeneity between individuals in the preference and possible correlations between various mobility alternatives. Results show substantial heterogeneity exists among individuals in their preferences. People in general prefer to keep their current car or buy an AV rather than to use shared cars, and shared AVs are more favorable than the traditional car sharing. Regarding the shared AVs, people are not only concerned about the operational costs and hourly rate, but also vehicle availability and access time. Moreover, younger people are more willing to accept these new mobility options.},
keywords = {Autonomous vehicles, Car sharing, Shared autonomous vehicles, Sharing economy},
pubstate = {published},
tppubtype = {article}
}
With the development of vehicle automation and sharing economy, a mix of human-driven and autonomous vehicles can be expected in the next few decades, which means the conventional vehicles, carsharing, autonomous vehicles (AV) and shared AVs will coexist, affecting the way of travel. AVs, especially combined with shared use, may contribute to reduce or solve some of the present most intractable urban problems such as traffic congestion, crashes and wasted use of urban spaces. Given the emerging trend of new mobility options, understanding the decision of people in owning a private human-driven vehicle or private AV versus using a shared AV or joining car sharing would have important indications for policy makers to reduce car ownership in general. Therefore, this paper is devoted to gain insight into individuals’ propensity for purchasing an autonomous vehicle or using shared (autonomous) cars. Based on the data collected using a stated choice experiment, we estimated a random parameter error component model to identify the possible heterogeneity between individuals in the preference and possible correlations between various mobility alternatives. Results show substantial heterogeneity exists among individuals in their preferences. People in general prefer to keep their current car or buy an AV rather than to use shared cars, and shared AVs are more favorable than the traditional car sharing. Regarding the shared AVs, people are not only concerned about the operational costs and hourly rate, but also vehicle availability and access time. Moreover, younger people are more willing to accept these new mobility options.
Gu, G.; Feng, T.; Zhong, C.; Cai, X.; Li, J.
In: Sustainability (Switzerland), vol. 13, iss. 12, 2021, ISSN: 20711050.
Abstract | Links | BibTeX | Tags: Car ownership, Car sharing, Electric car, Error component model, Life course events
@article{Gu2021,
title = {The effects of life course events on car ownership and sustainable mobility tools adoption decisions: Results of an error component random parameter logit model},
author = {G. Gu and T. Feng and C. Zhong and X. Cai and J. Li},
doi = {10.3390/su13126816},
issn = {20711050},
year = {2021},
date = {2021-01-01},
journal = {Sustainability (Switzerland)},
volume = {13},
issue = {12},
abstract = {Life course events can change household travel demand dramatically. Recent studies of car ownership have examined the impacts of life course events on the purchasing, replacing, and disposing of cars. However, with the increasing diversification of mobility tools, changing the fleet size is not the only option to adapt to the change caused by life course events. People have various options with the development of sustainable mobility tools including electric car, electric bike, and car sharing. In order to determine the impacts of life course events on car ownership and the decision of mobility tool type, a stated choice experiment was conducted. The experiment also investigated how the attributes of mobility tools related to the acceptance of them. Based on existing literature, we identified the attributes of mobility tools and several life course events which are considered to be influential in car ownership decision and new types of mobility tools choice. The error component random parameter logit model was estimated. The heterogeneity across people on current car and specific mobility tools are considered. The results indicate people incline not to sell their current car when they choose an electric bike or shared car. Regarding the life course events, baby birth increases the probability to purchase an additional car, while it decreases the probability to purchase an electric bike or joining a car sharing scheme. Moreover, the estimation of error components implies that there is unobserved heterogeneity across respondents on the sustainable mobility tools choice and the decision on household’s current car.},
keywords = {Car ownership, Car sharing, Electric car, Error component model, Life course events},
pubstate = {published},
tppubtype = {article}
}
Life course events can change household travel demand dramatically. Recent studies of car ownership have examined the impacts of life course events on the purchasing, replacing, and disposing of cars. However, with the increasing diversification of mobility tools, changing the fleet size is not the only option to adapt to the change caused by life course events. People have various options with the development of sustainable mobility tools including electric car, electric bike, and car sharing. In order to determine the impacts of life course events on car ownership and the decision of mobility tool type, a stated choice experiment was conducted. The experiment also investigated how the attributes of mobility tools related to the acceptance of them. Based on existing literature, we identified the attributes of mobility tools and several life course events which are considered to be influential in car ownership decision and new types of mobility tools choice. The error component random parameter logit model was estimated. The heterogeneity across people on current car and specific mobility tools are considered. The results indicate people incline not to sell their current car when they choose an electric bike or shared car. Regarding the life course events, baby birth increases the probability to purchase an additional car, while it decreases the probability to purchase an electric bike or joining a car sharing scheme. Moreover, the estimation of error components implies that there is unobserved heterogeneity across respondents on the sustainable mobility tools choice and the decision on household’s current car.
2020
Gu, G.; Feng, T.
Heterogeneous choice of home renewable energy equipment conditioning on the choice of electric vehicles Journal Article
In: Renewable Energy, vol. 154, 2020, ISSN: 18790682.
Abstract | Links | BibTeX | Tags: Car sharing, E-bike, Mobility tool, Solar panel
@article{Gu2020,
title = {Heterogeneous choice of home renewable energy equipment conditioning on the choice of electric vehicles},
author = {G. Gu and T. Feng},
doi = {10.1016/j.renene.2020.03.007},
issn = {18790682},
year = {2020},
date = {2020-01-01},
journal = {Renewable Energy},
volume = {154},
abstract = {New mobility tools like electric vehicle and e-bike have been an important strategy in many cities for the reduction of traffic problems and the implementation of renewable energy infrastructures. The choice of individuals on mobility tools however may depend on the magnitude of a comparable cost. Home renewable energy equipment like solar panel which generates energy at home may potentially reduce the electricity expenditure of e-mobility. This paper therefore aims to investigate the choice behavior of individuals on their home renewable energy equipment conditioning on the choice of mobility tools. More specifically, we identify the differences among individuals in their preferences and the latent groups. Using the stated preference data collected in the city of Weiz, Austria, we estimated a latent class choice model with social demographics representing the user group membership. Results show that the synergy effect between EV and solar panels and self-sufficient home energy system is more attractive to people with low income although their willingness to buy are lower than people with high income.},
keywords = {Car sharing, E-bike, Mobility tool, Solar panel},
pubstate = {published},
tppubtype = {article}
}
New mobility tools like electric vehicle and e-bike have been an important strategy in many cities for the reduction of traffic problems and the implementation of renewable energy infrastructures. The choice of individuals on mobility tools however may depend on the magnitude of a comparable cost. Home renewable energy equipment like solar panel which generates energy at home may potentially reduce the electricity expenditure of e-mobility. This paper therefore aims to investigate the choice behavior of individuals on their home renewable energy equipment conditioning on the choice of mobility tools. More specifically, we identify the differences among individuals in their preferences and the latent groups. Using the stated preference data collected in the city of Weiz, Austria, we estimated a latent class choice model with social demographics representing the user group membership. Results show that the synergy effect between EV and solar panels and self-sufficient home energy system is more attractive to people with low income although their willingness to buy are lower than people with high income.
2019
Gu, G.; Yang, D.; Feng, T.; Timmermans, H.
Household vehicle holding decisions in response to life cycle events Proceedings Article
In: 2019, ISSN: 23521465.
Abstract | Links | BibTeX | Tags: Car sharing, Electric bikes, Electric cars, Mixed logit model
@inproceedings{Gu2019b,
title = {Household vehicle holding decisions in response to life cycle events},
author = {G. Gu and D. Yang and T. Feng and H. Timmermans},
doi = {10.1016/j.trpro.2018.12.180},
issn = {23521465},
year = {2019},
date = {2019-01-01},
journal = {Transportation Research Procedia},
volume = {37},
abstract = {People choose a new mobility tool when their mobility needs of change or their current vehicle need replacement. Changes in mobility needs may be triggered by life events. A life event triggers households to reconsider their current vehicle holdings and leads them to change their vehicle holdings if the changing demand makes a changed desirable. Electric cars and car sharing provide new options, which deserve studying in the context of sustainable transport and energy consumption. In the context of re-assessing mobility needs, it is important to better understand the process that leads households to purchase an electric car as a replacement or supplement of their current vehicle, or to join car-sharing. To investigate this decision-making process, a stated choice experiment was designed. This paper reports the results of a mixed logit model, which was estimated to assess the degree of heterogeneity among households in their preferences for vehicle purchase and replacement decisions as a function of life events.},
keywords = {Car sharing, Electric bikes, Electric cars, Mixed logit model},
pubstate = {published},
tppubtype = {inproceedings}
}
People choose a new mobility tool when their mobility needs of change or their current vehicle need replacement. Changes in mobility needs may be triggered by life events. A life event triggers households to reconsider their current vehicle holdings and leads them to change their vehicle holdings if the changing demand makes a changed desirable. Electric cars and car sharing provide new options, which deserve studying in the context of sustainable transport and energy consumption. In the context of re-assessing mobility needs, it is important to better understand the process that leads households to purchase an electric car as a replacement or supplement of their current vehicle, or to join car-sharing. To investigate this decision-making process, a stated choice experiment was designed. This paper reports the results of a mixed logit model, which was estimated to assess the degree of heterogeneity among households in their preferences for vehicle purchase and replacement decisions as a function of life events.