王江波，博士毕业于名古屋大学，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）。已发表学术论文20余篇，获得授权专利10余项，主编地标1项、团标3项。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 C：Emerging 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 D：Transport and Environment, 2023, 114：103523(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, 105：166-180(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, 43：100355(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, 30：271-280 (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 C：Emerging Technologies, 2022, 140：103709

(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

世界交通大会（WTC）交叉部专业技术委员会主席、委员，运输规划学部专业技术委员会委员

Transportation Research Part A/D、Transport Policy、Transportation、Sustainable Cities and Society、Sustainable 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

Pricing Strategy Optimization of Demand-Responsive Commuter Buses Considering Passenger Loyalty Decay Characteristics--IMaSS joint usage/joint research program of Nagoya University,   Principle Investigator

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--开云平台首页 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

系统运营与分析，交通大数据挖掘与人工智能算法，碳减排与碳中和政策，交通行为分析；共享交通；需求响应式出行；智慧公交；新能源汽车能耗预测