考虑心理因素的自动驾驶车用户停车选择行为分析

doi:10.16097/j.cnki.1009-6744.2025.05.006

交通运输系统工程与信息 ›› 2025, Vol. 25 ›› Issue (5): 72-82.DOI: 10.16097/j.cnki.1009-6744.2025.05.006

考虑心理因素的自动驾驶车用户停车选择行为分析

韩艳^*1，袁昌银¹，唐心恬¹，关宏志^1,2

1. 北京工业大学，交通工程北京市重点实验室，北京100124；2. 新疆大学，新疆交通基础设施绿色建养与智慧交通管控重点实验室，乌鲁木齐830017

收稿日期:2025-07-16 修回日期:2025-08-12 接受日期:2025-09-01 出版日期:2025-10-25 发布日期:2025-10-25
作者简介:韩艳(1977—)，女，江苏盐城人，副教授。
基金资助:
国家自然科学基金(71971005)。

Parking Choice Behavior Analysis of Autonomous Vehicle Users Considering Psychological Factors

HAN Yan^*1, YUAN Changyin¹, TANG Xintian¹, GUAN Hongzhi^1,2

1. Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China; 2. Xinjiang Key Laboratory of Green Construction and Smart Traffic Control of Transportation Infrastructure, Xinjiang University, Urumqi 830017, China

Received:2025-07-16 Revised:2025-08-12 Accepted:2025-09-01 Online:2025-10-25 Published:2025-10-25
Supported by:
National Natural Science Foundation of China (71971005)。

摘要/Abstract

摘要： 具备远程自动代客泊车功能的自动驾驶车将用户送到目的地后，可自主空驶至远端停车场停车，为解决热点区域停车泊位不足等问题提供了新的方法，同时也带来新的选择问题。本文基于消费者购买决策理论，引入感知风险和等待态度两个心理潜变量，挖掘自动驾驶用户停车选择机理，设计并实施了自动驾驶用户停车选择行为实证调查，构建集成心理潜变量的停车选择行为(ICLV)模型与不考虑心理潜变量的多项Logit模型，并进行敏感性分析。研究结果表明：心理潜变量、个人信息属性、出行属性和停车方案属性均对用户选择停车位置具有显著影响，与传统的多项Logit模型相比，ICLV模型拟合度显著提升。目的地停车费对停车方案选择概率变化富有弹性，当目的地停车费从11元·h^-1增加至15元·h^-1时，目的地停车的选择概率从59.9%下降至34.4%，近端停车、远端停车的选择概率分别从11.8%、28.3%上升至19.4%、46.2%。当用户的感知风险厌恶度和等待厌恶度分别由1上升至5时，用户选择目的地停车的概率分别由12.0%、24.4%上升至53.3%、52.0%。研究结论可为自动驾驶时代区域停车场差异化停车定价提供理论依据。

关键词: 城市交通, 停车选择行为, 混合选择模型, 自动驾驶汽车, 心理因素

Abstract: Autonomous vehicles equipped with long-range autonomous valet parking function drop off the users at their destinations and then autonomously idle to the remote parking lot to park. It can present an innovative solution to the spatial and temporal misallocation of parking resources in urban centers, and at the same time bring a new problem of choice. Based on the theory of consumer purchase decision, the parking choice mechanism of Privately-owned Automated Vehicles (PAVs) is discussed by introducing two psychological latent variables: perceived risk and waiting attitude. An empirical survey on the parking choice behavior of PAVs users was designed. And an Integrated Choice and Latent Variable (ICLV) model and MNL model were developed for the parking choice behavior of AV users. The results indicate that psychological latent variables, along with personal characteristics, travel attributes, and parking program attributes, significantly influence the parking decisions of users. Moreover, the ICLV model, which incorporates psychological latent variables, demonstrates a notably superior fit over the traditional multinomial Logit model. Destination parking fee is elastic to changes in the probability of parking choice. When the destination parking fee increases from 11 yuan·h^-1 to 15 yuan·h^-1, the probability of parking choice will decrease from 59.9% to 34.4%, and the probability of proximal parking slots and remote parking slots will increase from 11.8% and 28.3% to 19.4% and 46.2%, respectively. The probability of choosing destination parking will increase from 12.0% and 24.4% to 53.3% and 52.0% when the risk and pick-up waiting aversions perceived by users increase from 1 to 5, respectively. The research findings can provide a theoretical basis for differential parking pricing in regional parking lots in the era of autonomous vehicles.

Key words: urban traffic, parking choice behavior, hybrid choice model, autonomous vehicles, psychological factors

中图分类号:

U491

韩艳, 袁昌银, 唐心恬, 关宏志. 考虑心理因素的自动驾驶车用户停车选择行为分析[J]. 交通运输系统工程与信息, 2025, 25(5): 72-82.

HAN Yan, YUAN Changyin, TANG Xintian, GUAN Hongzhi. Parking Choice Behavior Analysis of Autonomous Vehicle Users Considering Psychological Factors[J]. Journal of Transportation Systems Engineering and Information Technology, 2025, 25(5): 72-82.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: http://www.tseit.org.cn/CN/10.16097/j.cnki.1009-6744.2025.05.006

http://www.tseit.org.cn/CN/Y2025/V25/I5/72

参考文献

[1] 梅振宇, 项贻强,陈峻,等.基于停车选择行为的路内停车价格优化模型[J]. 交通运输系统工程与信息, 2010, 10(1): 99-104. [MEI Z Y, XIANG Y Q, CHEN J, et al. Optimizing model of curb parking pricing based on parking choice behavior[J]. Journal of Transportation Systems Engineering and Information Technology, 2010, 10(1): 99-104.]

[2] 丁浣,郭宏伟,张余杰,等.考虑时间价值的路内停车巡航行为建模[J]. 交通运输系统工程与信息, 2015, 15(4): 187–191. [DING H, GUO H W, ZHANG Y J, et al. Modeling behavior of cruising for on-street parking based on time value[J]. Journal of Transportation Systems Engineering and Information Technology, 2015, 15(4): 187–191.]

[3] SOTO J J, MARQUEZ L, MACEA L F. Accounting for attitudes on parking choice: An integrated choice and latent variable approach[J]. Transportation Research Part A: Policy and Practice, 2018, 111: 65–77.

[4] LEVIN M W, WONG E, NAULT-MAURER B, et al. Parking infrastructure design for repositioning autonomous vehicles[J]. Transportation Research Part C: Emerging Technologies, 2020, 120: 102838.

[5] NOURINEJAD M, ROORDA M J. Cruising for parking with autonomous and conventional vehicles[J]. Journal of Advanced Transportation, 2021, 2021(1): 6269995.

[6] HARPER C D, HENDRICKSON C T, SAMARAS C. Exploring the economic, environmental, and travel implications of changes in parking choices due to driverless vehicles: An agent-based simulation approach[J]. Journal of Urban Planning and Development, 2018, 144(4): 04018043.

[7] CHANDRON R, ENGEL J F, BLACKWELL R D, et al. Consumer Behavior, Hinsdale, Ill: Dryden Press,1978[J]. Journal of Advertising, 1979, 8(1): 52–53.

[8] ASHMAN R, SOLOMON M R, WOLNY J. An old model for a new age: Consumer decision making in participatory digital culture[J]. Journal of Customer Behaviour, 2015, 14(2): 127–146.

[9] 鞠鹏, 周晶, 徐红利, 等. 基于混合选择模型的汽车共享选择行为研究[J]. 交通运输系统工程与信息, 2017, 17(2): 7–13. [JU P, ZHOU J, XU H L, et al. Travelers' choice behavior of car sharing based on hybrid choice model[J]. Journal of Transportation Systems Engineering and Information Technology, 2017, 17(2): 7–13.]

[10] 赵传林, 靳思缘, 武海娟, 等. 自动代客车接受度及停车选择行为影响因素分析[J]. 科学技术与工程, 2023, 23(35): 15259–15268. [ZHAO C L, JIN S Y, WU H J, et al. Analysis of factors influencing the acceptance of automated valet parking and parking choice behavior[J]. Science Technology and Engineering, 2023, 23(35): 15259–15268.]

[11] XUE F, YAO E, CHERCHI E, et al. Modeling the joint choice behavior of commuters' travel mode and parking options for private autonomous vehicles[J]. Transportation Research Part C: Emerging Technologies, 2024, 159: 104471.

[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. [ZHU S Y, DENG S, WANG H, et al. Predictive Logit model of trip mode with fuzzy attribute variables[J]. Journal of Traffic and Transportation Engineering, 2013, 13(3): 71–78.]

[13] HAN Y, ZHANG T, WANG M. Holiday travel behavior analysis and empirical study with Integrated travel reservation information usage[J]. Transportation Research Part A: Policy and Practice, 2020, 134: 130–151.

[1]	尹超英, 周悦, 徐震宇, 邵春福, 王晓全, 齐欣. 建成环境与主观感知对共享单车地铁换乘出行的非线性影响[J]. 交通运输系统工程与信息, 2025, 25(5): 169-178.
[2]	胡立伟, 龚麒, 赵雪亭, 周泽禹, 陈家乐, 潘江雄, 杨灿, 马思月. 多车联动式掉头区域交通冲突风险识别研究[J]. 交通运输系统工程与信息, 2025, 25(5): 179-192.
[3]	陈文强, 薛盼盼, 王涛, 顾玉磊. 无信号灯控制路段人行横道车辆让行行为研究[J]. 交通运输系统工程与信息, 2025, 25(5): 215-225.
[4]	孟冉, 杨洋, 宋子龙. 城市轨道交通分时定价策略的公益性水平评价[J]. 交通运输系统工程与信息, 2025, 25(5): 248-260.
[5]	唐春艳, 代馨怡, 张积昱. 适老化定制公交线路服务优化研究[J]. 交通运输系统工程与信息, 2025, 25(5): 271-279.
[6]	王江锋, 宋之凡, 李云飞, 齐崇楷, 闫学东, 李青山. 面向集中供给与稀疏需求场景的网约车调度优化算法[J]. 交通运输系统工程与信息, 2025, 25(5): 280-290.
[7]	翁剑成, 王亦昊, 陈旭蕊, 高润鸿, 胡松. 基于寻路实验的综合客运枢纽引导标识效用评估与诊断方法[J]. 交通运输系统工程与信息, 2025, 25(5): 343-352.
[8]	谭德明, 陈可沛, 吴大维, 李延欢, 胡四新, 张彩平. 低碳视角下轨道交通与土地利用供需协同发展研究[J]. 交通运输系统工程与信息, 2025, 25(4): 13-23.
[9]	张鹏羽, 李正中, 张翕然, 岳晓辉. 不同时期下城市轨道交通客流的时空影响机制研究[J]. 交通运输系统工程与信息, 2025, 25(4): 24-33.
[10]	俞诚成, 戴一楚, 杨超, 徐雷, 袁泉. 出行即服务促销策略对用户生命周期提升的因果推断研究[J]. 交通运输系统工程与信息, 2025, 25(4): 34-43.
[11]	王海涌, 张丹, 王孟琳, 田爱爱. 异质交通流下交叉口信号及车辆轨迹融合控制模型[J]. 交通运输系统工程与信息, 2025, 25(4): 96-103.
[12]	宋翠颖, 丁杰, 张春波. 模块化公交车辆调度研究综述[J]. 交通运输系统工程与信息, 2025, 25(4): 175-192.
[13]	雷雪, 范鹏飞, 刘睿, 李松松, 吴亦政, 宋国华. 插电式混合动力汽车效用因子及其减排效益研究[J]. 交通运输系统工程与信息, 2025, 25(4): 337-348.
[14]	王殿海, 徐梦丹, 张萌, 曾佳棋, 蔡正义. 基于客流争夺与补充的轨交对公交非对称竞合关系评价[J]. 交通运输系统工程与信息, 2025, 25(3): 22-31.
[15]	祝静静, 许项东. 路径冗余性对行程时间可靠性的影响分析[J]. 交通运输系统工程与信息, 2025, 25(3): 142-151.

考虑心理因素的自动驾驶车用户停车选择行为分析

Parking Choice Behavior Analysis of Autonomous Vehicle Users Considering Psychological Factors

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics