王可 - 上海理工大学

个人简介

教育背景 2015.09-2021.03，博士，同济大学，交通运输工程 2018.09-2019.09，联合培养博士，美国德州大学奥斯汀分校，交通运输工程 2011.09-2015.07，学士，长安大学，交通运输管理工作经历 2021.06-至今，上海理工大学，讲师科研项目 [1] 2022-2023，《双碳背景下上海市交通结构绿色转型的行为机理与策略研究》，上海市哲学社会科学规划办公室，社科规划年度课题，在研，主持 [2] 2022-2025，《空港智慧货运通道构建关键技术》，上海市科委社会发展科技攻关项目，在研，参与 [3] 2017-2020，《移动互联网环境下交通出行模式的重构机理》，国家自然科学基金面上项目，结题，参与 [4] 2018-2022，《城市交通治理现代化理论研究》，国家自然科学基金重点项目，结题，参与 [5] 2018-2019,《Travel Modeling in an Era of Connected and Automated Transportation Systems》，North Central Texas Council of Governments，University Partnership Program，结题，参与 [6] 2016-2019，《Communications and Radar-Supported Transportation Operations and Planning》，Texas Department of Transportation，Key Project，结题，参与主讲课程学术活动与社会服务本科生课程：《出行者决策行为分析方法原理》《智慧物流与供应链管理》荣誉上海理工大学2022年度创新创业优秀指导教师同济大学优秀毕业生同济大学优秀学生长安大学优秀毕业

研究领域

大数据建模分析、出行行为分析、交通需求建模

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

在大数据建模分析、出行行为分析和交通需求建模领域发表学术论文20余篇，其中SCI/SSCI检索论文12篇，ESI 0.1%热点论文1篇；以第一作者发表SCI/SSCI论文6篇，其中JCR Q1论文2篇。近三年代表性论文： [1] Wang K; Ye X. Development of alternative stochastic frontier models for estimating time-space prism vertices [J].Transportation, 2021, 48(2): 773-807. (SSCI/SCI; JCR Q1) [2] Wang K; Bhat C R; Ye X. A multinomial probit analysis of shanghai commute mode choice [J].Transportation, 2022: 1-25. (SSCI/SCI; JCR Q1) [3] Wang K, Ye X, Shi C, Gan H. 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. (SCI; JCR Q3) [4] Wang K, Ye X, Gan H. 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 Q3) [5] Geng S, Ye X, Zhang T, Wang K. The finite mixture continuous logit model: formulation and application for shopping start time choice of non-commuters [J] Transportation Research Record, 2023. (SCI; JCR Q3) [6] Zhang P, Ye X, Wang K. Development of joint stated-preference-off-revealed-preference model for shanghai commute mode choices in response to parking fee management [J]. Transportation Research Record, 2022, 2676(1): 65-77. (SCI; JCR Q3) 近三年会议论文 [1] 2021, A practical method to draw from multivariate extreme value distribution. 100th TRB Annual Meeting. [2] 2021, A simulation-free full information maximum likelihood method to estimate Probit-based SP-off-RP models. 100th TRB Annual Meeting. [3] 2021, Development of Probit-based discrete-continuous choice model to explore the relationship between household car ownership and duration of commuters’ outdoor non-work activities in Xiaoshan District of Hangzhou, China. 100th TRB Annual Meeting. [4] 2022, Random draws from multivariate extreme value distributions for nested Logit models using approximation of Gumbel distributions and their finite mixture. 101st TRB Annual Meeting. [5] 2023, A modeling analysis of impact from shared autonomous vehicle service on Shanghai commuters’ value of travel time. 102nd TRB Annual Meeting.

学术兼职

Guest Editor：《International Journal of Environmental Research and Public Health》期刊审稿：《Transportation Research Part A: Policy and Practice》《Transportation》《Transportation Research Record》《Journal of Advanced Transportation》