2023
Tian, Zhihui; Feng, Tao; Yao, Baozhen; Hu, Yan; Zhang, Jing
Where to park an autonomous vehicle? Results of a stated choice experiment Journal Article
In: Transportation Research Part A: Policy and Practice, vol. 175, pp. 103763, 2023, ISSN: 0965-8564.
Abstract | Links | BibTeX | Tags: Autonomous vehicles, Context effects, Parking location choice
@article{TIAN2023103763,
title = {Where to park an autonomous vehicle? Results of a stated choice experiment},
author = {Zhihui Tian and Tao Feng and Baozhen Yao and Yan Hu and Jing Zhang},
url = {https://www.sciencedirect.com/science/article/pii/S0965856423001830},
doi = {https://doi.org/10.1016/j.tra.2023.103763},
issn = {0965-8564},
year = {2023},
date = {2023-01-01},
journal = {Transportation Research Part A: Policy and Practice},
volume = {175},
pages = {103763},
abstract = {The future innovation and growing popularity of autonomous vehicles have the potential to significantly impact the spatiotemporal distribution of parking demand. However, little knowledge is gained on how people will choose to park their autonomous cars. In principle, an autonomous vehicle is not necessarily parked close by like traditional vehicles leveraging the automated driving and parking capability, still, the decision made by people is important for policymakers in urban and transportation planning. This study attempts to gain useful insights to understand people’s parking location choices for autonomous vehicles. A stated choice experiment was designed, allowing people to choose a parking location for autonomous vehicles in varied contexts, including time windows, picking-up times, and the requirement for on-time arrival at the next activity. We found that similar to conventional cars people generally prefer cheaper and/or closer parking lots for autonomous vehicles. However, the distance between a parking lot and the activity location is relatively longer in the case of autonomous vehicles. The amount of time an autonomous vehicle spends in congestion while picking up the users influences the choice of parking locations. Moreover, substantial preference heterogeneity between individual people was found in the parking choice behavior. The maximum value of access time for autonomous cars is 34 $/h which is higher than the empirical value of walking time for conventional cars. Results of elasticity indicate that the influence of parking fees is larger than that of access time and congestion time.},
keywords = {Autonomous vehicles, Context effects, Parking location choice},
pubstate = {published},
tppubtype = {article}
}
The future innovation and growing popularity of autonomous vehicles have the potential to significantly impact the spatiotemporal distribution of parking demand. However, little knowledge is gained on how people will choose to park their autonomous cars. In principle, an autonomous vehicle is not necessarily parked close by like traditional vehicles leveraging the automated driving and parking capability, still, the decision made by people is important for policymakers in urban and transportation planning. This study attempts to gain useful insights to understand people’s parking location choices for autonomous vehicles. A stated choice experiment was designed, allowing people to choose a parking location for autonomous vehicles in varied contexts, including time windows, picking-up times, and the requirement for on-time arrival at the next activity. We found that similar to conventional cars people generally prefer cheaper and/or closer parking lots for autonomous vehicles. However, the distance between a parking lot and the activity location is relatively longer in the case of autonomous vehicles. The amount of time an autonomous vehicle spends in congestion while picking up the users influences the choice of parking locations. Moreover, substantial preference heterogeneity between individual people was found in the parking choice behavior. The maximum value of access time for autonomous cars is 34 $/h which is higher than the empirical value of walking time for conventional cars. Results of elasticity indicate that the influence of parking fees is larger than that of access time and congestion time.
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.