Against the backdrop of the rapid technological advancements, the debate on how the emerging digital turn will revolutionize individual and collective mobility is intensifying. In the commercial context, “shared mobility” became a mainstream yet a fuzzy concept. An often-ignored fact is that shared travel modes are not only competing with private cars/taxis, but also replacing other travel modes of transport, including public transit, walking and biking. The modal shift between private cars/taxi and shared mobility, and between public transit and shared mobility makes the social consequences of shared mobility uncertain. Bearing these concerns in mind, I intend to examine the sociospatial consequence of the modal shift caused by shared mobility. Simulations of various modal shift scenarios will generate a wide array of indicators measuring the shared mobility performance regarding traffic congestion, energy consumption, greenhouse gas emissions, travel cost, and citizens’ accessibility to public services and jobs at a city level. The findings will inform the framing of urban transportation policy towards a more sustainable, equitable and inclusive urban future.
About the Speaker
Ms. Si QIAO is a second-year PhD researcher in the Department of Urban Planning and Design at the University of Hong Kong. She received a dual B.S. degree in computer science & technology and geographic information systems, and an M.S. degree in Geomatics. Her research interests include big data analysis in transport planning and intelligent transport strategies.
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