Scientific Research projects Projects: [1]National Natural Science Foundation of China, 52002244, Carbon Emission Trading Driven Evolution Mechanism of Ridesharing Behaviors, 2020/01-2023/12, PI [2]Shanghai Municipal Human Resources and Social Security Bureau, Shanghai Pujiang Talent Program, 2020PJC083, Research on Decentralized Road Transportation Carbon Trading System based on Blockchain, 2020/11-20202/10, PI [3]Shanghai Municipal Education Commission, Shanghai Chengguang Project, 20CG55, Comprehensive Evaluation and Management of low-carbon Transformation of Urban Transportation from a global Perspective, 2021/01-2023/12, PI [4]Shanghai Social Science Planning Project, 2020EGL019, Design and Evaluation of the Blockchain-based Carbon Emission Trading Policy for Road Transport, 20120/10-20120/12, PI [5]Soft Science Research Project of Shanghai Science and Technology Innovation Action Plan, 20692192200, Research on the Development Policy of New energy vehicle Introducing the Carbon Emission Trading Scheme, 20120/07-2020/06, PI [6]China Academy of Transportation Sciences, Open Project from Key Laboratory of Advanced Public Transportation Science, 2021-APTS-01, Monitoring and assessment of urban individual Travel Carbon Footprint under the environment of Mobility as a Service (MaaS), 2021-09-2023/12, PI Recent Papers: First author/corresponding author: [1]Li, W., Bao, L., Li, Y., Si, H., Li, Y. (2022). Assessing the transition to low-carbon urban transport: A global comparison. Resources, Conservation and Recycling, 180, 106179. (SCI, IF=14.224, JCR-Q1, Top) [2]Li, W., Pu, Z., Li, Y., Ban, X. (2019). Characterization of ridesplitting based on observed data: A case study of Chengdu, China. Transportation Research Part C: Emerging Technologies, 100(March 2019), 330-353. (SCI, IF=9.022, JCR-Q1, Top) [3]Li, W., Bao, L., Wang, L., Li, Y., Mai, X. (2019). Comparative evaluation of global low-carbon urban transport. Technological Forecasting and Social Change, 143, 14-26. (SSCI, IF=10.884, JCR-Q1, Top) [4]Li, W., Pu, Z., Li, Y., Tu, M. (2021). How does ridesplitting reduce emissions from ridesourcing? A spatiotemporal analysis in Chengdu, China. Transportation Research Part D: Transport and Environment, 95, 102885. (SCI, IF=7.041, JCR-Q1) [5]Li, W., Chen, S., Dong, J., Wu, J. (2021). Exploring the spatial variations of transfer distances between dockless bike-sharing systems and metros. Journal of Transport Geography, 92, 103032. (SSCI, IF= 5.899, JCR-Q1, Top) [6]Li, W., Wang, L., Li, Y., Liu, B. (2020). A blockchain-based emissions trading system for the road transport sector: policy design and evaluation. Climate Policy, 21(3), 337-352. (SSCI, IF= 6.056, JCR-Q1) [7]Li, W., Li, Y., Ban, X., Deng, H., Shu, H., Xie, D. (2018). Exploring the relationships between the non-work trip frequency and accessibility based on mobile phone data. Transportation Research Record, 2672(42), 91-102. (SCI, IF=1.560, JCR Q3) [8]Tu, M., Li, W.*, Orfila, O., Li, Y., Gruyer, D. (2021). Exploring nonlinear effects of the built environment on ridesplitting: Evidence from Chengdu. Transportation Research Part D: Transport and Environment, 93, 102776. (SCI, IF=7.041, JCR-Q1) [9]Tu, M., Li, Y., Li, W.*, Tu, M., Orfila, O., Gruyer, D. (2019). Improving ridesplitting services using optimization procedures on a shareability network: A case study of Chengdu. Technological Forecasting and Social Change, 149, 119733. (SSCI, IF=10.884, JCR-Q1, Top) [10]Wang, L., Li, W.*, Weng, J., Zhang, D., Ma, W. (2022). Do low-carbon rewards incentivize people to ridesplitting? Evidence from structural analysis. Transportation, 1-33. (SCI, IF=4.814, JCR-Q1) [11]Liu, X., Li, W*., Li, Y., Fan, J., Shen, Z. (2021). Quantifying environmental benefits of ridesplitting based on observed data from ridesourcing services. Transportation Research Record, 2675(8), 355-368. (SCI, IF=1.560, JCR Q3) [12]Lai, Z., Liu, X., Li, W.*, Li, Y., Zou, G., Tu, M. (2021). Exploring the spatial heterogeneity of residents' marginal willingness to pay for clean air in Shanghai. Frontiers in Public Health, 9, 791575. (SSCI, IF=6.461, JCR-Q1) [13]Zou, G., Lai, Z., Li, Y., Liu, X., Li, W. (2022). Exploring the nonlinear impact of air pollution on housing prices: A machine learning approach. Economics of Transportation, 31, 100272. (SSCI, IF=2.829, JCR-Q2) [14]Li, Y., Li, W.*, Wei, Y., Bao, L., Deng, H. (2017). Using personal carbon dioxide trading to promote cleaner cars. Proceedings of the Institution of Civil Engineers-Transport, 170, 86-98. (SCI) [15]Li, W., Li, Y., Deng, H., Bao, L. (2018). Planning of electric public transport system under battery swap mode. Sustainability, 10(7), 2528. (SCI, IF=3.889, JCR-Q2) [16]Li, W., Li, Y., Fan, J., Deng, H. (2017). Siting of carsharing stations based on spatial multi-criteria evaluation: A case study of Shanghai EVCARD. Sustainability, 9(1), 152. (SCI, IF=3.889, JCR-Q2) [17]Li, Y., Bao, L., Li, W.*, Deng, H. (2016). Inventory and policy reduction potential of greenhouse gas and pollutant emissions of road transportation industry in China. Sustainability, 8(12), 1218. (SCI, IF=3.889, JCR-Q2) [18]Li, Y., Li, W.*, Yu, Y., Bao, L. (2017). Planning of LNG filling stations for road freight: a case study of Shenzhen. Transportation Research Procedia, 25, 4580-4588. [19]Zhang, Y., Li, W.*, Deng, H., Li, Y. (2020). Evaluation of public transport-based accessibility to health facilities considering spatial heterogeneity. Journal of Advanced Transportation, 2020. (SCI, IF=2.249, JCR Q3) [20]Dong, J., Chen, S., Li, W.*, Zhou, Y., Si, H. (2022). Evaluation of Dockless Bike-Sharing Transfer Services around Metro Stations considering Spatial Heterogeneity. Journal of Advanced Transportation, 2022. (SCI, IF=2.249, JCR Q3) [21]Dong, J., Li, Y., Li, W.*, Liu, S. (2022). CO2 Emission Reduction Potential of Road Transport to Achieve Carbon Neutrality in China. Sustainability, 14(9), 5454. (SCI, IF=3.889, JCR-Q2)
Other author: [1]Pu, Z., Zhu, M., Li, W., Cui, Z., Guo, X., Wang, Y. (2020). Monitoring public transit ridership flow by passively sensing Wi-Fi and Bluetooth mobile devices. IEEE Internet of Things Journal, 8(1), 474-486. (SCI, IF=10.238 , JCR-Q1) [2]Si, H., Su, Y., Wu, G., Li, W., Cheng, L. (2022). Can government regulation, carbon-emission reduction certification and information publicity promote carpooling behavior? Transportation Research Part D: Transport and Environment, 109, 103384. (SCI, IF=7.041, JCR-Q1) [3]Deng, H., Li, Y., Li, W., Yu, Y. (2016). Urban transport social needs in China: Quantification with central government transit grant. Transport Policy, 51, 126-139. (SCI, IF= 6.173, JCR-Q1) [4]Liu, Y., Li, Y., Li, W. (2019). Natural language processing approach for appraisal of passenger satisfaction and service quality of public transportation. IET Intelligent Transport Systems, 13(11), 1701-1707. (SCI, IF=2.568, JCR Q2) [5]An, S., Leng, J., Wang, J., Li, W., He, Y. (2015). Vulnerability of road network based on generalised travel time. Proceedings of the Institution of Civil Engineers-Transport, 168, 425-433. (SCI) [6]Tu, M., Li, Y., Bao, L., Wei, Y., Orfila, O., Li, W., et al. (2019). Logarithmic mean Divisia index decomposition of CO2 emissions from urban passenger transport: an empirical study of global cities from 1960–2001. Sustainability, 11(16), 4310. (SCI, IF=3.889, JCR-Q2) [7]Wang, Y., Feng, Y., Li, W., Fulcher, W. C., Zhang, L. (2014). Road network vulnerability analysis based on improved ant colony algorithm. Mathematical Problems in Engineering, 2014. [8]Leng, J., An, S., Li, W., Liu, W., Zhao, H. (2017). Car-following Model and Its Stability under Ice and Snowfall Conditions. Journal of Harbin Institute of Technology (New Series), 24(1). (SCI) [9]Yu, Y., Li, Y., Xia, T., Deng, H., Bao, L., Li, W. (2017). Organizational mode innovation and credit supervision in road freight transportation under smart mobile devices applications services. Transportation Research Procedia, 25, 762-771.
Conference Papers: [1]Li, W., Wang, L., Ban, X., Li, Y. (2019). Blockchain-based Emissions Trading System for the Road Transport Sector. Paper presented at the Transportation Research Board 98th Annual Meeting. [2]Li, W., Li, Y., Ban, X., Deng, H., Shu, H., Xie, D. (2018). Exploring the relationships between the non-work trip frequency and accessibility based on mobile phone data. Paper presented at the Transportation Research Board 97th Annual Meeting. [3]Li, W., Li, Y., Liu, X., Pu, Z. (2022). What Determines the CO2 Emission Reduction of Ridesplitting Trips? An Empirical Study in Chengdu, China. Paper presented at World Transport Convention 2022. [4]Li, W., Chen, S., Wu, J. (2021). Exploring the spatial variations of transfer distances between dockless bike-sharing systems and metros. Paper presented at World Transport Convention 2021. [5]Li, W., Li, Y., Ma, G. (2015). Design and Simulation of Battery Swap Station for Battery Electric Buses. Paper presented at the ICTE 2015. [6]Li, W., Li, Y., Wei, Y., Bao, L., Ma, G. (2015). Incorporating Emissions Reduction in the Site Evaluation of Urban Bus Stops Near Intersections. Paper presented at the CICTP 2015. [7]Li, Y., Li, W. *, Bao, L., Ma, G., Deng, H. (2016). Planning and Operation of Electric Public Transit System with Battery Swap Mode. Paper presented at the Transportation Research Board 95th Annual Meeting. [8]Tu, M., Li, Y., Li, W.*, Tu, M., Orfila, O., Gruyer, D. (2019). Improving Ridesplitting Service Using Optimization Procedures on Shareability Network: A Case Study of Chengdu, China. Paper presented at the 2019 IEEE Intelligent Transportation Systems Conference (ITSC). [9]Li, Y., Shu, H., Deng, H., Li, W. (2017). Incorporating Spatial Heterogeneity of Public Facilities When Measuring the Equity of Public Transport-Based Accessibility in a Developing Country: the Case of Shanghai, China. Paper presented at the Transportation Research Board 96th Annual Meeting. [10]Li, Y., Wei, Y., Bao, L., Li, W. (2018). Factor Decomposition Analysis of Urban Passenger Transport CO2 Emissions: An Empirical Research of Global Cities During 1960–2001. Paper presented at the Transportation Research Board 97th Annual Meeting. [11]Bao, L., Li, Y., Li, W., Tang, Q., Wei, Y. (2017). Reduction Potential of Greenhouse Gas and Pollutant Emissions from Road Transportation Sector by Various Measures in China. Paper presented at the Transportation Research Board 96th Annual Meeting. [12]An, S., Leng, J., Li, X., Li, W., He, Y. (2014). Distribution and reliability of travel time on urban highways under ice or snowfall conditions. Paper presented at the Transportation Research Board 93rd Annual Meeting. [13]Li, Y., Deng, H., Yu, Y., Bao, L., Li, W. (2016). A Meaningful Approach to Assess Urban Public Transit Development: Disentangle General Agglomeration Effects from Specific Local Impacts. Paper presented at the Transportation Research Board 95th Annual Meeting. [14]Li, Y., Wei, Y., Li, W., Bao, L. (2018). Research on Evaluation Method of Driving Behavior Safety for Taxi Driver Based on Space–Time Trajectory Feature. Paper presented at the CICTP 2017: Transportation Reform and Change—Equity, Inclusiveness, Sharing, and Innovation. [15]Wang, L., Wu, Z., Li, W., Liu, H., Ma, W. (2021). Adaptability Assessment Framework for Public Transit Systems with Automated Vehicles on Open Flow Roads. Paper presented at the CICTP 2021. [16]Bao, L., Li, Y., Wei, Y., Li, W. (2014). Study on Intersection Energy Consumption and Emissions under Various Bus Station Locations. Paper presented at the CICTP 2014: Safe, Smart, and Sustainable Multimodal Transportation Systems. [17]Leng, J., An, S., Zhao, H., Li, W., Fan, Q. (2014). Vulnerability Estimation for Urban Highways Under Ice or Snowfall Conditions. Paper presented at the Transportation Research Board 93rd Annual Meeting.
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