Identification and interpretation of spatial–temporal mismatch between taxi demand and supply using global positioning system data

Author:

Tang Juanyu1,Zhu Yi2,Huang Yizhe1,Peng Zhong-Ren134,Wang Zhanyong5

Affiliation:

1. Center for Intelligent Transportation Systems and Unmanned Aerial Systems Applications, State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai, China;

2. School of Public Economics and Administration, Shanghai University of Finance and Economics, Shanghai, China;

3. China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai, China;

4. School of Landscape Architecture and Planning, College of Design, Construction, and Planning, University of Florida, International Center for Adaptation Planning and Design (iAdapt), Gainesville, FL, USA;

5. College of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou, China

Funder

National Key R&D Program of China

National Planning Office of Philosophy and Social Science

Shanghai Pujiang Talents Plan Project

Science and Technology Project of Guangzhou

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,Aerospace Engineering,Automotive Engineering,Information Systems,Software,Control and Systems Engineering

Reference38 articles.

1. From taxi GPS traces to social and community dynamics

2. Estimating the effects of entry regulation in the Istanbul taxicab market

3. Context-aware taxi demand hotspots prediction

4. Correa, D., Xie, K. & Ozbay, K. (2017). Exploring the taxi and Uber demand in New York City: An empirical analysis and spatial modeling. Paper presented at Proceedings of the Transportation Research Board 96th Annual Meeting, USA.

5. Identifying mismatch between urban travel demand and transport network services using GPS data: A case study in the fast growing Chinese city of Harbin

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