Citation: | YAO Ronghan, YANG Lan, WANG Zhong. Leasing Behavior for Autonomous VehiclesConsidering Latent Variables[J]. Journal of Southwest Jiaotong University, 2021, 56(6): 1153-1160. doi: 10.3969/j.issn.0258-2724.20200593 |
Combining autonomous vehicle (AV) with time-sharing leasing or peer-to-peer (P2P) leasing, two novel travel modes are provided for travelers. To explore the behavior characteristics of AV rental, travelers’ preferences and influence factors for choosing AV time-sharing leasing, AV P2P leasing, private cars and public transit are analyzed. Based on the preference survey data of travel mode choice, the structural equation-multinomial Logit (SE-MNL) model combining structural equation model (SEM) with multinomial Logit (MNL) model is established, which calibrates the parameters of the observed and latent variables. The comparative analyses are done for the parameter calibration results of the MNL and SE-MNL models. The results show that at 95% confidence level, both the observed variables of travel cost, in-vehicle time, driver’s license status, travel purpose, marital status and the latent variables of convenience, safety, ride experience, ride comfort have significant effects on travelers’ choice of AV time-sharing leasing or P2P leasing. The goodness of fit of the SE-MNL model is 2%~3% higher than that of the MNL model.
[1] |
CHOUDHURY C F, YANG L, DE ABREU E SILVA J, et al. Modelling preferences for smart modes and services:a case study in Lisbon[J]. Transportation Research Part A:Policy and Practice, 2018, 115: 15-31. doi: 10.1016/j.tra.2017.07.005
|
[2] |
BECKER H, CIARI F, AXHAUSEN K W. Modeling free-floating car-sharing use in Switzerland:a spatial regression and conditional Logit approach[J]. Transportation Research Part C:Emerging Technologies, 2017, 81: 286-299. doi: 10.1016/j.trc.2017.06.008
|
[3] |
JIN F L, AN K, YAO E J. Mode choice analysis in urban transport with shared battery electric vehicles:a stated-preference case study in Beijing,China[J]. Transportation Research Part A:Policy and Practice, 2020, 133: 95-108. doi: 10.1016/j.tra.2020.01.009
|
[4] |
HUI Y, WANG Y J, SUN Q L, et al. The impact of car-sharing on the willingness to postpone a car purchase:a case study in Hangzhou,China[J]. Journal of Advanced Transportation, 2019, 2019: 9348496.1-9348496.11.
|
[5] |
KIM D, PARK Y, KO J. Factors underlying vehicle ownership reduction among carsharing users:a repeated cross-sectional analysis[J]. Transportation ResearchPart D:Transport and Environment, 2019, 76: 123-137. doi: 10.1016/j.trd.2019.09.018
|
[6] |
ALEMI F, CIRCELLA G, HANDY S, et al. What influences travelers to use Uber? Exploring the factors affecting the adoption of on-demand ride services in California[J]. Travel Behaviour and Society, 2018, 13: 88-104. doi: 10.1016/j.tbs.2018.06.002
|
[7] |
唐立,邹彤,罗霞,等. 基于混合Logit模型的网约车选择行为研究[J]. 交通运输系统工程与信息,2018,18(1): 108-114.
TANG Li, ZOU Tong, LUO Xia, et al. Choice behavior of taxi-hailing based on mixed-Logit model[J]. Journal of Transportation Systems Engineering and Information Technology, 2018, 18(1): 108-114.
|
[8] |
HABOUCHA C J, ISHAQ R, SHIFTAN Y. User preferences regarding autonomous vehicles[J]. Transportation Research Part C:Emerging Technologies, 2017, 78: 37-49. doi: 10.1016/j.trc.2017.01.010
|
[9] |
STOIBER T, SCHUBERT I, HOERLER R, et al. Will consumers prefer shared and pooled-use autonomous vehicles? A stated choice experiment with Swiss households[J]. Transportation Research Part D:Transport and Environment, 2019, 71: 265-282. doi: 10.1016/j.trd.2018.12.019
|
[10] |
ZHOU F, ZHENG Z D, WHITEHEAD J, et al. Preference heterogeneity in mode choice for car-sharing and shared automated vehicles[J]. Transportation Research Part A:Policy and Practice, 2020, 132: 633-650. doi: 10.1016/j.tra.2019.12.004
|
[11] |
NAZARI F, NORUZOLIAEE M, MOHAMMADIAN A. Shared versus private mobility:modeling public interest in autonomous vehicles accounting for latent attitudes[J]. Transportation Research Part C:Emerging Technologies, 2018, 97: 456-477. doi: 10.1016/j.trc.2018.11.005
|
[12] |
朱顺应,邓爽,王红,等. 具有模糊特性变量的出行方式预测Logit模型[J]. 交通运输工程学报,2013,13(3): 71-78. doi: 10.3969/j.issn.1671-1637.2013.03.010
ZHU Shunying, DENG Shuang, WANG Hong, et al. Predictive Logit model of trip mode with fuzzy attribute variables[J]. Journal of Traffic and Transportation Engineering, 2013, 13(3): 71-78. doi: 10.3969/j.issn.1671-1637.2013.03.010
|
[13] |
李聪颖,邵壮壮,封少帅,等. 自行车骑行者生理、心理与综合负荷感知模型[J]. 交通运输工程学报,2020,20(1): 181-191.
LI Congying, SHAO Zhuangzhuang, FENG Shaoshuai, et al. Physiology,psychology and comprehensive loading perception models of cyclists[J]. Journal of Traffic and Transportation Engineering, 2020, 20(1): 181-191.
|
[14] |
刘志伟,刘建荣,邓卫. 考虑潜在类别的市内机动化出行行为模型[J]. 西南交通大学学报,2021,56(1): 131-137.
LIU Zhiwei, LIU Jianrong, DENG Wei. Inclusion of latent class in behavior model of motorized travel in city[J]. Journal of Southwest Jiaotong University, 2021, 56(1): 131-137.
|
[15] |
关宏志. 非集计模型: 交通行为分析的工具[M]. 北京: 人民交通出版社, 2004.
|
[16] |
吴明隆. 结构方程模型: AMOS的操作与应用[M]. 2版. 重庆: 重庆大学出版社, 2010.
|
[17] |
聂垚,杨蓉,吴丽霞. 基于SEM-BL模型的居民轨道交通方式选择行为研究[J]. 交通运输部管理干部学院学报,2019,29(2): 33-37.
|