• 更多栏目

    王江波

    • 副教授       硕士生导师
    • 性别:男
    • 出生日期:1992-05-11
    • 毕业院校:名古屋大学(日本)
    • 学位:博士
    • 所在单位:经济管理学院
    • 学科:交通运输规划与管理
    • 联系方式:Jiangbo_Wang@outlook.com
    • 电子邮箱:Jiangbo_Wang@dlut.edu.cn

    访问量:

    开通时间:..

    最后更新时间:..

    个人简介


    王江波,2014年6月本科毕业于新疆大学土木工程专业,同年推免至大连理工大学交通运输学院攻读硕士学位,于2017年6月毕业,并获得大连理工大学优秀硕士论文,于同年9月获得中国留学基金委全额资助进入日本名古屋大学土木工程与环境学部攻读博士学位,2020年9月毕业回国后进入大连理工大学交通运输学院任教至今。

    大连市引进高层次人才(青年才俊),大连市城市发展紧缺人才(五星级)。他已发表学术论文10余篇,获得软件著作权2项,其中SCI/SSCI收录论文10余篇,JCR Q1期刊论文6篇。担任该领域多个主流期刊(如Transportation Research Part A/D,Transportation, Sustainable Cities and Society, Sustainable Energy Technologies and Assessment)审稿人。主要研究兴趣为交通行为分析、时空行为建模、共享交通系统分析、需求响应式出行和交通大数据挖掘与人工智能算法。


    主要研究成果

    (1) Jiangbo Wang; Toshiyuki Yamamoto; Kai Liu; Key determinants and heterogeneous frailties in passenger loyalty toward customized buses: An empirical investigation of the subscription termination hazard of users, Transportation Research Part CEmerging Technologies, 2020, 115:102636 (JCR Q1)

    (2) Jiangbo Wang; Xinyu (Jason) Cao; Kai Liu; De Wang; Exploring the nonlinear effects of built environment characteristics on customized bus service, Transportation Research Part DTransport and Environment, 2023, 114103523(JCR Q1)

    (3) Jiangbo Wang; Toshiyuki Yamamoto; Kai Liu; Spatial dependence and spillover effects in customized bus demand: Empirical evidence using spatial dynamic panel models, Transport Policy, 2021, 105166-180(JCR Q1)

    (4) Jiangbo Wang; Toshiyuki Yamamoto; Kai Liu; Exploring the subscribing behavior of customized bus passengers: Active users versus inactive users, Journal of Choice Modelling, 2022, 43100355(JCR Q1)

    (5) Jiangbo Wang; Kai Liu; Toshiyuki Yamamoto; De Wang; Guoxu Lu; Built environment as a precondition for demand-responsive transit (DRT) system survival: Evidence from an empirical study, Travel Behaviour and Society, 2023, 30271-280 (JCR Q2)

    (6) Jiangbo Wang; Toshiyuki Yamamoto; Kai Liu; Role of customized bus services in the transportation system: Insight from actual performance, Journal of Advanced Transportation, 2019, 2019:1-14 (JCR Q3)

    (7) Jiangbo Wang; Zhirui Lian; Chao Liu; Kai Liu; Iterated clustering optimization of the split-delivery vehicle routing problem considering passenger walking distance, Transportation Research Interdisciplinary Perspectives, 2023, 17:100751

    (8)  Wang, J., Liu, K., Yamamoto, T. (2017). Improving electricity consumption estimation for electric vehicles based on sparse GPS observations. Energies. (JCR Q3)

    (9) Wang, J., Liu, K., Yamamoto, T., Morikawa, T. (2017). Improving estimation accuracy for electric vehicle energy consumption considering the effects of ambient temperature. Energy Procedia. (EI)

            (10) Liu, K., Wang, J., Yamamoto, T., Morikawa, T. (2018). Exploring the interactive effects of ambient temperature and vehicle auxiliary loads on electric vehicle energy consumption. Appl. Energy.

            (11) Liu, K., Wang, J., Yamamoto, T., Morikawa, T. (2016). Modelling the multilevel structure and mixed effects of the factors influencing the energy consumption of electric vehicles. Appl. Energy.

            (12) 刘锴,王江波,陈晋. (2015): 基于多层混合效应的电动汽车能耗估计模型. 武汉理工大学学报(交通科学与工程版)

    (13) Zhiju Chen; Kai Liu; Jiangbo Wang; Toshiyuki Yamamoto; H-ConvLSTM-based bagging learning approach for ride-hailing demand prediction considering imbalance problems and sparse uncertainty, Transportation Research Part CEmerging Technologies, 2022, 140103709

    (14) Zheng Li; Kai Liu; Jiangbo Wang; Exploring observed and unobserved preference heterogeneity in choice behavior of demand responsive customized bus service, Journal of Urban Planning and Development, 2021, 147(1)5020038.1-5020038.7

    (15) Hong Gao; Ang Li; Jiangbo Wang; Kai Liu; Li Zhang; Design of an intelligent platoon transit system towards transportation electrification, World Electric Vehicle Journal, 2022, 13(8)153-153

    (16) Yinghan Sun; Jiangbo Wang; Cheng Li; Kai Liu; Competitiveness evaluation of electric bus charging services based on analytic hierarchy process, World Electric Vehicle Journal, 2022, 13(5)81-81


    主要社会兼职

    中国公路学会会员

    Transportation Research Part A/D、Transportation、Sustainable Cities and SocietySustainable Energy Technologies and Assessment等业内主流期刊审稿人。


    主要承担项目

    基于不确定性溯源的响应式出行系统需求迁移预测方法及诱导策略研究--国家自然科学基金青年基金,主持人

    多层级网约出行需求特征识别与用户持续选择行为机理探究--大连理工大学引进人才专项, 主持人

    基于多源异构数据关联与融合的公交系统问题诊断与主动优化--国家自然科学基金面上基金项目,主研人


    主要研究方向

    交通行为分析;共享交通;需求响应式出行;交通大数据挖掘与人工智能算法; 智慧公交;新能源汽车能耗预测


    教育经历

    2014.9 -- 2017.6
    大连理工大学       交通运输规划管理       硕士

    2017.10 -- 2020.9
    名古屋大学(日本)       土木工程       博士

    工作经历

    2020.10 -- 至今

    大连理工大学建设工程学部      准聘助理教授