我们是一支既专注科研、又热爱生活的团队。这里不仅有严谨的学术氛围，也有欢笑与温暖。一起攻坚科研难题，也一起分享旅途、美食与成长的点滴。欢迎了解我们的“三好团队”：好研值、好玩家、好吃堂！

快来加入我们吧！入股不亏哦！

科研项目

[1].    国家自然科学基金委，基于需求精准画像的城市重型货车出行决策机理和通行管控方法，主持

[2].    上海市交通委员会，上海市物流发展趋势及相关案例研究，主要参与

[3].    上海市交通委员会，轨道交通系统兼顾货运功能发展研究，主要参与

[4].    上海市科学委员会，基于高频货车轨迹的上海市先进制造业供应链网络识别与应用，主持

[5].    上海市科学委员会，上海市货运车辆排放动态测算-暴露解析-空间治理体系研究，主持

[6].    中央高校基本科研业务费专项，货运交通系统空气污染排放测算建模及人群暴露研究，主持

[7].    上海市生态环境局，基于实时交通流的机动车排放MOVES模型适用性研究，主持

[8].    江苏省现代城市交通技术协同创新中心，综合交通运输系统货运交通需求分析模型，主持

[9].    上海市松江区规划与自然资源局，松江枢纽物流港专项研究，共同主持

[10].    上海市嘉定区交通委员会，嘉定新城综合交通规划，参与

[11].    中国城市规划设计研究院，莆田市城市物流体系专题研究，主持

[12].    上海市科学委员会，城市物流设施空间演化规律及成因探究，主持

[13].    北京大学-林肯研究院，城市物流设施空间布局与环境公平，主持

[14].   美国国家道路安全合作研究中心，Urban Freight and Road Safety，参与

[15].   Volvo教育与研究基金会，Understanding Freight Flows in Cities，主持

[16].   美国加州交通部，Managing the Impacts of Freight in CA，核心参与

[17].   美国洛杉矶县都市交通署，Maintenance and Development of ADMS，核心参与

[18].   Volvo教育与研究基金会，Locationof warehouses and environmental justice，主持

[19].   美国国家可持续交通研究中心，Spatial dynamics of the logistics industry ，核心参与

[20].   美国交通部高校交通研究中心，Using Secondary Data Sources to Describe Metropolitan Freight，核心参与

产学研合作

研究团队与University of California, Los Angeles, University of Southern California, University of Washington, Massachusetts Institute of Technology, University of Tokyo, Stanford University, Delft University of Technology, Vrije Universiteit Brussel, Gothenburg University, Chalmers University of Technology, Instituto Federal de Educação, Ciências e Tecnologia do Ceará, Cape Peninsula University of Technology 等全球货运物流研究领域知名课题组建立紧密合作，包括科研论文合著、学生访问交流、研究项目申请、教学资源共享等。

研究团队同时与中远海运、中通快递、顺丰科技、中交车旺、交运股份、上海联通、京东物流、圆通快递等国内领先货运物流企业形成长期产学研合作关系，协同推动行业创新及应用。

所获奖项

广东省土木建筑学会科学技术奖一等奖 

上海市交通工程学会科学技术奖三等奖 

广东省智能交通协会科技进步奖二等奖 

2023年第十一届军事物流与应急物流研讨会优秀论文（案例）二等奖 

第七届中国创新挑战赛（盐城）现场赛优胜奖 

2022国际中国规划协会 Transportation and Climate Change Award 

2019海外交通运输赤子优秀政策建议奖 

更多研究项目情况请往下看：

《基于XGBoost与SHAP的货运车辆事故伤害严重程度因素分析》：

《一种用神经网络来分析PM2.5浓度如何受交通相关因素的影响的方法》：

城市物流设施空间与货运交通互动机理与建模：

    物流设施识别

基于实时交通流的机动车排放MOVES模型适用性研究

 机动车碳污排放因子PEMS测定及清单更新

论文发表

[1].  Li,Z., Ma, X., Pan, R., Yang, C., & Yuan, Q.* (2025). Explaining the dynamicsand identifying potential risks of hazardous materials truck movements. Journalof Transport Geography, 123, 104125.

[2].  Yang,C., Dong, W., Yuan, Q., Cao, R., & Yu, C. (2025). Integrating user valuesassessment with the augmented RFM model to enhance bus transit systems’ market segmentation. Transport Policy.

[3].  Deng,J., Li, T., Yang, Z., Yuan, Q.*, & Chen, X. (2025). Heterogeneity in routechoice during peak hours: Implications on travel demand management. TravelBehaviour and Society, 38, 100922.

[4].  Yu,C., Dong, W., Lin, H., Lu, Y., Wan, C., Yin, Y., ... & Yuan, Q.* (2025).Multi-layer regional railway network and equitable economic development ofmegaregions. npj Sustainable Mobility and Transport, 2(1), 3.

[5].  Yang,Z., Liu, H., Chen, X., Zhou, J., & Yuan, Q.* (2025). Discovering theOrigins of Freight Demand: An Empirical Investigation of Spatial Heterogeneityin the Generation of Heavy-Duty Truck Trips. Transport Policy.

[6].  Qin,Z., Yu, C., Lin, H., Yang, C., & Yuan, Q.* (2024). Unraveling the role offreight facility development in the dynamics of gentrification. TransportationResearch Part D: Transport and Environment, 137, 104481.

[7].  Yu,C., Lin, H., Chen, Y., Yang, C., Yin, A., & Yuan, Q.* (2024). Creating mostneeded customized bus services: A collaborative analysis of user-routedynamics. Transportation Research Part D: Transport and Environment, 133,104312.

[8].  Yu,C., Qin, Z., Lu, Y., Lin, H., Yang, C., Yuan, Q.*, & Wu, Q. (2024).Integrated strategies for road transportation-related multi-pollutant control:A cross-departmental policy mix. Transportation Research Part D: Transport andEnvironment, 132, 104257.

[9].  Yu,C., Yang, C., Dong, W., Chen, Y., & Yuan, Q.* (2024). Retaining Bus Riders:A Lifecycle Longitudinal Analysis of Behavioral Status Transitions from Entryto Exit. International Journal of Transportation Science and Technology.

[10]. Yu,C., Dong, W., Liu, Y., Yang, C., & Yuan, Q.* (2024). Rethinking busridership dynamics: Examining nonlinear effects of determinants on busridership changes using city-level panel data from 2010 to 2019. TransportPolicy, 151, 85-100.

[11]. Yu,C., Hua, W., Yang, C., Fang, S., Li, Y., & Yuan, Q.* (2024). From sky toroad: incorporating the satellite imagery into analysis of freighttruck-related crash factors. Accident Analysis & Prevention, 200, 107491.

[12]. Chen,M., Yuan, Q., Yang, C., & Zhang, Y. (2024). Decoding Urban Mobility:Application of Natural Language Processing and Machine Learning to ActivityPattern Recognition, Prediction, and Temporal Transferability Examination. IEEETransactions on Intelligent Transportation Systems.

[13]. Deng,J., Cui, Y., Chen, X., Bachmann, C., & Yuan, Q.* (2023). Who are on theroad? A study on vehicle usage characteristics based on one-week vehicletrajectory data. International Journal of Digital Earth, 16(1), 1962-1984.

[14]. Yang,Z., Chen, X., Deng, J., Li, T., & Yuan, Q.* (2023). Footprints of goodsmovements: Spatial heterogeneity of heavy-duty truck activities and itsinfluencing factors in the urban context. Journal of Transport Geography, 113,103737.

[15]. Yu,C., Deng, Y., Qin, Z., Yang, C., & Yuan, Q.* (2023). Traffic volume androad network structure: Revealing transportation-related factors on PM2. 5concentrations. Transportation Research Part D: Transport and Environment, 124,103935.

[16]. Zhou,Y., Yang, C., Chen, M., Liu, Y., & Yuan, Q.* (2023). Commuting versusconsumption: The role of core city in a metropolitan area. Cities, 141, 104495.

[17]. 杨超,雷家硕,程一唯 & 袁泉*.(2023).城市重要货运走廊污染物排放及人群暴露研究. 交通与运输(02),87-91.

[18]. Yuan,Q., Lin, H., Yu, C., & Yang, C. (2023). Modeling freight truck-relatedtraffic crash hazards with uncertainties: A framework of interpretable Bayesianneural network with stochastic variational inference. International Journal ofTransportation Science and Technology.

[19]. 谭俊宇,李晟,林昊成,杨超 & 袁泉*.(2023).基于企业货运设施的城市货运交通生成及分布建模方法研究. 交通与港航(03),24-33.

[20]. Liang,Y., Yuan, Q.*, Wang, D., Feng, Y., Xu, P., & Zhou, J. (2023). Panacea orplacebo? Exploring the causal effects of nonlocal vehicle driving restrictionpolicies on traffic congestion using a difference-in-differences approach.Transportation, 1-23.

[21]. Yang,C., Yu, C., Dong, W., & Yuan, Q.* (2023). Substitutes or complements?Examining effects of urban rail transit on bus ridership using longitudinalcity-level data. Transportation Research Part A: Policy and Practice, 174,103728.

[22]. Yang,C., Wan, Z., Yuan, Q.*, Zhou, Y., & Sun, M. (2023). Travel before, duringand after the COVID-19 pandemic: Exploring factors in essential travel usingempirical data. Journal of Transport Geography, 103640.

[23]. Zhang,X., Yang, C., & Yuan, Q. (2023). A strategic analysis model of residents’ travel demand for Shanghai 2035 under new technology. InternationalJournal of Sustainable Transportation, 1-19.

[24]. Qin,Z., Liang, Y., Yang, C., Fu, Q., Chao, Y., Liu, Z., & Yuan, Q.* (2023).Externalities from restrictions: Examining the short-run effects of urbancore-focused driving restriction policies on air quality. TransportationResearch Part D: Transport and Environment, 119, 103723.

[25]. Deng,J., Gao, L., Chen, X., & Yuan, Q.* (2023). Taking the same route every day?An empirical investigation of commuting route stability using personal electricvehicle trajectory data. Transportation, 1-27.

[26]. Lei,J., Yang, C., Fu, Q., Chao, Y., Dai, J., & Yuan, Q.* (2023). An approach oflocalizing MOVES to estimate emission factors of trucks. International Journalof Transportation Science and Technology.

[27]. Rai,H. B., Kang, S., Sakai, T., Tejada, C., Yuan, Q., Conway, A., & Dablanc, L.(2022). ‘Proximity logistics’:Characterizing the development of logistics facilities in dense, mixed-useurban areas around the world. Transportation Research Part A: Policy andPractice, 166, 41-61.

[28]. Zhou,Y., Zhang, Y., Yuan, Q.*, Yang, C., Guo, T., & Wang, Y. (2022). TheSmartphone-Based Person Travel Survey System: Data Collection, Trip Extraction,and Travel Mode Detection. IEEE Transactions on Intelligent TransportationSystems, 23(12), 23399-23407.

[29]. Zhou,J., Leng, L., Yuan, Q., & Shi, X. (2022). Does Air Cargo Matter in ChineseRegional Economic Development? An Empirical Granger Causality Test.Sustainability, 14(15), 9753.

[30]. 杨志伟,陈小鸿 & 袁泉*.(2022).城市物流设施规划中的环境影响考量与空间治理对策. 国际城市规划(04),36-43.

[31]. Zhou,Y., Yuan, Q.*, Ding, F., Chen, M., Yang, C., & Guo, T. (2022). Demand,mobility, and constraints: Exploring travel behaviors and mode choices of olderadults using a facility-based framework. Journal of transport geography, 102,103368.

[32]. 杨超, 陈明垟, 袁泉, & 王燚. (2022). 上海市新城通勤人群出行特征分析. 城市交通.

[33]. Yang,Z., Chen, X., Pan, R., & Yuan, Q.* (2022). Exploring location factors oflogistics facilities from a spatiotemporal perspective: A case study fromShanghai. Journal of Transport Geography, 100, 103318.

[34]. 肖作鹏,王缉宪,袁泉 & 李国旗.(2022).国际视野下城市物流政策实践的挑战与创新. 国际城市规划(04),4-11.

[35]. Chen,X., Li, T., & Yuan, Q.* (2021). Impacts of built environment on travelbehaviors of Generation Z: a longitudinal perspective. Transportation, 1-30.

[36]. Yuan,Q., & Wang, J. (2021). Goods movement, road safety, and spatial inequity:Evaluating freight-related crashes in low-income or minority neighborhoods.Journal of Transport Geography, 96, 103186.

[37]. 袁泉, 涂义欢, & 李国旗.(2021). 物流网络快速应对疫情的策略与体系设计. 城市交通.

[38]. Chen,X., Guo, Y., Yang, C., Ding, F., & Yuan, Q.* (2021). Exploring essentialtravel during COVID-19 quarantine: Evidence from China. Transport Policy, 111,90-97.

[39]. 袁泉 & 陈小鸿.(2021).城市物流环境影响的时空解析. 城市交通(02),29-36+89.

[40]. Li,G., Sun, W., Yuan, Q.*, and Liu, S. （2021）“Planning Versus the Market: Logistics Establishments and LogisticsParks in Chongqing, China”, Journal of TransportGeography, 82

[41]. Yang,C., Chen, M., & Yuan, Q.* (2021). The application of XGBoost and SHAP toexamining the factors in freight truck-related crashes: An exploratoryanalysis. Accident Analysis & Prevention, 158, 106153.

[42]. Zhou,Y., Yuan, Q., Yang, C., & Wang, Y. (2021). Who you are determines how youtravel: Clustering human activity patterns with a Markov-chain-based mixturemodel. Travel Behaviour and Society, 24, 102-112.

[43]. Yang,C., Chen, M., & Yuan, Q.* (2021). The geography of freight-relatedaccidents in the era of E-commerce: evidence from the Los Angeles metropolitanarea. Journal of transport geography, 92, 102989.

[44]. Xiao,Z., Yuan, Q.*, Sun, Y., & Sun, X. (2021). New paradigm of logistics spacereorganization: E-commerce, land use, and supply chain management.Transportation Research Interdisciplinary Perspectives, 9, 100300.

[45]. McDonald,N., & Yuan, Q.* (2021). Freight Loading Space Provision: Evidence from theUS. Journal of Urban Planning and Development, 147(2), 04021015.

[46]. 王学勇,袁泉,刘志明 & 邵勇.(2020).停车改革促进老城复兴——以美国帕萨迪纳市为例. 城市交通(06),58-64.

[47]. 袁泉 & 陈小鸿.(2020).15分钟社区生活圈停车治理与公共服务提升方案探究. 交通与港航(05),29-36.

[48]. Yuan,Q.*, 2019. “Planning Matters: InstitutionalPerspectives on Warehousing Development and Mitigating Its Negative Impacts”. Journal of the American Planning Association, 85(4), 525-543.

[49]. McDonald,N., Yuan, Q. and Naumann, R., 2019. Urban freight and road safety in the era ofe-commerce. Traffic injury prevention, 20(7), pp.764-770.

[50]. Giuliano,G.*, Kang, S., and Yuan, Q., 2019. “AgglomerationEconomies and Evolving Urban Form”, Annals of RegionalScience, in print

[51]. Yuan,Q.*, 2019. “Does context matter in environmentaljustice patterns? Evidence on warehousing location from four metro areas inCalifornia”, Land Use Policy, 82, 328-338.

[52]. Yuan,Q. and Zhu, J.*, 2019. “Logistics sprawl in Chinesemetropolises: Evidence from Wuhan”, Journal ofTransport Geography, 74, 242-252

[53]. Yuan,Q.*, 2018. “Mega Freight Generators in My Backyard: ALongitudinal Study of Environmental Justice in Warehousing Location”, Land Use Policy, 76, 130-143

[54]. Yuan,Q.*, 2018. “Location of Warehouses and EnvironmentalJustice”, Journal of Planning Education and Research,https://doi.org/10.1177%2F0739456X18786392

[55]. Yuan,Q.*, 2018. “Environmental Justice in WarehousingLocation: State of the Art”, Journal of PlanningLiterature, 33(3), 287-298

[56]. Giuliano,G.*, Kang, S. and Yuan, Q., 2018. “Using proxies todescribe the metropolitan freight landscape”, UrbanStudies, 55(6), 1346-1363

[57]. Wang,R.*, and Yuan, Q., 2017. “Are Denser Cities Greener?Evidence from China, 2000-2010”, Natural ResourcesForum, 41(3), 179-189

[58]. Shoup,D.*, Yuan, Q. and Jiang, X., 2017. “Charging forParking to Finance Public Services”, Journal ofPlanning Education and Research, 37(2), 136-149

[59]. Wang,R.*, and Yuan, Q., 2013. “Parking Practices andPolicies under Rapid Motorization: The Case of China”,Transport Policy, 30, 109-116

教育经历

2013年8月至2018年8月，南加州大学，城市规划与空间分析系，哲学博士，城市规划与发展专业

2011年9月至2013年6月，加州大学洛杉矶分校，城市规划系，硕士，城市与区域规划

2006年9月至2011年7月，北京大学，城市与环境学院，学士，城市规划；学士（双学位），经济学

工作经历

2020年9月至今，同济大学，特聘研究员，交通运输工程学院

2019年12月至2020年9月，同济大学，副研究员，交通运输工程学院

2018年9月至2019年9月，北卡罗来纳大学教堂山分校，博士后研究员，城市与区域规划系

2016年5月至2016年6月，瑞典哥德堡大学，访问学者, 工商管理系

2013年8月至2018年8月，南加州大学，研究助理, METRANS 交通研究中心

2011年9月至2013年6月，加利福尼亚大学洛杉矶分校，研究助理, 城市规划系

2010年3月至2010年6月，中国城市规划设计研究院，实习规划师, 交通规划所

2008年12月至2011年6月，北京大学, 研究助理, 城市规划系

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