The impacts of the built environment on bicycle-metro transfer trips: A new method to delineate metro catchment area based on people's actual cycling space |
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| Institution: | 1. Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong Special Administrative Region, China;2. City University of Hong Kong Shenzhen Research Institute, Shenzhen, China;3. Shenzhen Key Laboratory of Urban Planning and Decision Making, Harbin Institute of Technology (Shenzhen), Shenzhen, China;4. School of Architecture, Harbin Institute of Technology (Shenzhen), Shenzhen, China;5. Geospatial Data Science Lab, Department of Geography, University of Wisconsin-Madison, United States of America;6. Department of Urban and Rural Planning, Southwest Jiaotong University, Sichuang, China;7. Cities Research Institute, School of Environment, Gold Coast Campus, Griffith University, Australia;1. Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, PO Box 217, 7500AE Enschede, The Netherlands;2. Centre for Transport Studies, University of Twente, PO Box 217, 7500AE Enschede, The Netherlands;1. Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China;2. Beijing Key Lab of Spatial Information Integration & Its Applications, Peking University, Beijing 100871, China;3. State Key Laboratory of Media Convergence Production Technology and Systems, Beijing 100803, China;4. Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin University of Technology, Guilin 541004, China;2. Beijing University of Technology, China;3. Transportation Modeling Manager, The Ohio-Kentucky-Indiana (OKI) Regional Council of Governments, 720 E. Pete Rose Way, Suite 420, Cincinnati, OH, USA;4. Shandong Jiaotong College, China;5. Chang''an University, China |
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| Abstract: | Bicycle-metro integration is an efficient method of solving the “last mile” issue around metro stations. Built environment is believed to have a significant effect on cycling behavior. However, transfer cycling around metro stations, as a specific type of cycling behavior, has often been overlooked in transport research. In addition, static contextual units such as circular or street-network buffers are typically used to delineate metro catchment areas of transfer cycling trips. These methods are inaccurate to represent the actual geographic contexts of cycling trips, according to the uncertain geographic context problem (UGCoP). Thus, in this study, bicycle-metro catchment areas are delineated based on aggregating the end points of over three million transfer cycling trips. The impact of the built environment on transfer cycling behavior is also explored.First, we find that the aggregate-points buffer outperforms traditional static buffers in predicting transfer cycling trips. Second, we also identify a high level of spatial heterogeneity in catchment area and transfer cycling density between urban and suburban areas. Third, residential and working population density, bus stop density, and metro stations accessibility have a significant effect on bicycle-metro transfer cycling. |
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