王可

职称/职务:副教授 硕士生导师

主要研究领域:人工智能、交通行为与政策、需求建模与管理、消费者行为

电子邮箱:kewang@usst.edu.cn

办公室:经管大楼A楼317室

教育背景与工作经历

教育背景

博士,同济大学,2015-2021

联合培养博士,美国德州大学奥斯汀分校,2018-2019

学士,长安大学,2011-2015


工作经历

副教授,88858cc永利官网,2024.07-至今

讲师,88858cc永利官网,2021.06-2024.06



教研项目及成果

科研项目

[1] 2023-2024,上海市哲学社会科学年度规划课题,双碳背景下上海市交通结构绿色转型的行为机理和策略研究,主持

[2] 2022-2023,上海高校青年教师培养资助计划项目,主持

[3] 2018-2022,国家自然科学基金重点项目,城市交通治理现代化理论研究,参与

[4] 2025-2028,国家自然科学基金面上项目,基于时空语义嵌入的出行即服务套餐个性化推荐与行为引导研究,参与

[5] 2017-2020,国家自然科学基金面上项目,移动互联网环境下交通出行模式的重构机理,参与

[6] 2019-2022,国家自然科学基金面上项目,小汽车/P+R多模式出行信息对交通方式选择的影响机理研究,参与

[7] 2022-2025,上海市科委社会发展科技攻关项目,空港智慧货运通道构建关键技术,参与

[8] 2025-2016,教育部人文社科青年项目,出行即服务环境下城市居民低碳多模式出行链重构机理研究,参与

[9] 2024-2025,教育部人文社科青年项目,基于关键运输通道识别的多模式城市配送网络韧性研究,参与

[10] 2023-2024,教育部人文社科青年项目,职住失衡下考虑内生空间效应的城市交通出行研究:影响机理、实证检验和政策建议,参与

[11] 2016-2019, Texas Department of Transportation, Communications and Radar-Supported Transportation Operations and Planning,参与

[12] 2018-2019, North Central Texas Council of Governments, Travel Modeling in an Era of Connected and Automated Transportation Systems,参与


教改项目

2022-2024,教育部产学合作协同育人项目,主持


期刊论文

发表期刊论文30余篇,论文总引用190余次 (H-index 8, i-10 index 6);SCI/SSCI论文22篇 (ESI 0.1%热点论文1篇,JCR Q2以上论文14篇)。部分代表论文:

[1] K. Wang, D. Yao, M. Pei. What factors influence Chinese women's nighttime ride-hailing preferences? An ICLV model analysis[J]. Research in Transportation Economics, 2025, 110: 101538. (SSCI, JCR Q1)

[2] K. Wang, X. Ye. A practical method to draw from multivariate extreme value distributions[J]. Journal of Choice Modelling, 2024, 52: 100506. (SSCI, JCR Q1)

[3] K. Wang, C.R. Bhat, X Ye. A multinomial Probit analysis of Shanghai commute mode choice[J]. Transportation, 2023, 50 (4), 1471-1495. (SCI/SSCI, JCR Q1)

[4] K. Wang, X. Ye. Development of alternative stochastic frontier models for estimating time-space prism vertices[J]. Transportation, 2021, 48(2): 773-807. (SCI/SSCI, JCR Q1)

[5] K. Wang, X. Ye, C. Shi, H. Gan. Probit-based discrete-continuous choice model to explore the relationship between car ownership and commuters’ non-work activity durations in Xiaoshan district of Hangzhou, China[J]. Transportation Research Record, 2023, 03611981231152252. (SCI)

[6] K. Wang, Y. Lin, X. Ye. Comparing impacts of access and egress distances on transit commute mode choices in Shanghai based on the zone-based and node-based measures[J]. Journal of Urban Planning and Development, 2025. (SCI)

[7] K. Wang, X. Ye, H. Gan. Mixed multinomial probit model accommodating flexible covariance structure and random taste variation: an application to commute mode choice behavior[J]. Journal of Advanced Transportation, 2022. (SCI, JCR Q2)

[8] (唯一通讯). Deconstructing the barriers and facilitators of e-bike helmet usage: A structural equation modeling approach[J]. Journal of Transport & Health, 2025. (SSCI, JCR Q2)

[9] (唯一通讯). Range anxiety and willingness to pay for charging of electric vehicle drivers: a perspective of psychological factors[J]. Journal of Renewable and Sustainable Energy, 2024. (SCI)

近三年会议论文

[1] 2025, Improved destination choice models using the neural network method. 104th TRB Annual Meeting.

[2] 2025, An offline map matching algorithm based on depth-first search for urban networks: travel behavior study perspective. 104th TRB Annual Meeting.

[3] 2025, An extension of multiple discrete-continuous extreme value model with ordered preferences (MDCEV-OP): Considering non-monotonic preference in episode-level time-use behaviors. 104th TRB Annual Meeting.

[4] 2025, Flexible modeling of stochastic frontiers for activity time-space prism vertices. 104th TRB Annual Meeting.

[5] 2024, Exploring factors affecting helmet use intention among shared e-bike riders in China: A structural equation modeling approach. 103rd TRB Annual Meeting.

[6] 2024, Comparing impacts of access and egress distances on transit commute mode choices in Shanghai based on the zone-based and node-based measures. 103rd TRB Annual Meeting.

[7] 2023, A modeling analysis of impact from shared autonomous vehicle service on Shanghai commuters’ value of travel time. 102nd TRB Annual Meeting.

[8] 2023, An improved random walk method verified in a large-scale urban network for the sampling of alternatives in route choice modeling. 102nd TRB Annual Meeting.

[9] 2023, The finite mixture continuous logit model: formulation and application for shopping start time choice of non-commuters. 102nd TRB Annual Meeting.


主讲课程

主讲课程

人工智能基础、智慧物流与供应链管理、出行者决策行为分析方法原理


招生意向

1. 欢迎对人工智能、消费者行为、交通行为分析等研究方向感兴趣的硕士研究生报考

2. 欢迎有意向参加各级学科竞赛和和老员工创新创业训练计划项目的本科生联系交流

学术活动与社会服务

学术任职

[1] 青年委员  世界交通运输大会(WTC)交叉学部

[2] 期刊编委  Information System and Smart City

[3] 青年编委  Journal of Highway and Transportation Research and Development

[4] 客座编辑  International Journal of Environmental Research and Public Health


期刊审稿

[1]《东南大学学报》(自然科学版)

[2] Transportation Research Part A: Policy and Practice

[3] Transportation Research Part E: Logistics and Transportation Review 

[4] Travel Behaviour and Society

[5] Transportation Research Record

[6] Journal of Advanced Transportation

[7] International Journal of Sustainable Transportation

[8] Transportation Research Board Annual Meeting


荣誉

[1] 永利官网2023-2024学年优秀班主任

[2] 永利官网2022年度创新创业优秀指导教师

[3] 同济大学优秀毕业生

[4] 同济大学优秀员工

[5] 长安大学优秀毕业生