Street as a big geo-data assembly and analysis unit in urban studies: A case study using Beijing taxi data |
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| Institution: | 1. School of Transportation Science and Engineering, Harbin Institute of Technology, No. 73, Huang-He Street, 150090 Harbin, China;2. School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China;3. School of Energy and Transportation Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China;4. Department of Civil & Environmental Engineering, University of Washington, Seattle, WA 98195-2700, United States;1. Department of Architecture and Urban Planning, Nanjing University, Nanjing, China;2. Department of Geographic and Oceanographic Sciences, Nanjing University, Nanjing, China;3. Department of Geography, The University of Hong Kong, Hong Kong, China;1. Institute of Remote Sensing and Geographical Information Systems, Peking University, Beijing 100871, China;2. Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong, China;3. Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, China |
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| Abstract: | Quantitative research of urban geography has benefited greatly from the rapid development of big geo-data. Spatial assembly is an essential analytical step to summarize and perceive geographical environment from individual behaviours. Most research focuses on the methodology of how to utilize the big data, while the adopted spatial units for data aggregation remain areal in nature. This article conceptually proposes an idea of sensing cities from a street perspective, emphasizes the significance of street units in quantitative urban studies. Using a three-month taxi trajectory dataset and the major streets in Beijing, we explore the spatio-temporal patterns of urban mobility on streets, cluster streets into nine types based on their dynamic functions and capacities. Additionally, we discuss the differences and connections between the linear street unit and traditional areal units, investigate the possibility of uncovering urban communities using streets, and point out the complexity of streets. We conclude that street unit as a supplement to areal units, is able to effectively minify the modifiable areal unit problem (MAUP), sense urban dynamics, depict urban functions, and understand urban structures. |
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| Keywords: | Street Linear unit Spatio-temporal pattern Big geo-data Urban study |
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