Network-based spatial interpolation of commuting trajectories: application of a university commuting management project in Kyoto,Japan |
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| Institution: | 1. International Research Institute of Disaster Science, Tohoku University, 2-1-1 Katahira, Aoba-ku, Sendai, Japan;2. Department of Geography, Ritsumeikan University, 58 Komatsubara-kita-machi, Kita-ku, Kyoto, Japan;3. Department of Preventive Medicine and Public Health, Tokyo Medical University, 6-1-1 Shinjuku, Shinjuku-ku, Tokyo, Japan;1. School of Architecture, Huaqiao University, 668 Jimei Avenue, Xiamen, 361021, PR China;2. School of Transportation Engineering, Tongji University, 4800 Cao’an Road, Shanghai, 201804, PR China;3. Student Affairs in Higher Education, Colorado State University, Fort Collins, CO, 80521, United States;4. Shanghai WSP Consulting LTD, 1486 Nanjing West Road, Shanghai, 200000, PR China;1. Veterinary Medical Center and College of Veterinary Medicine, Chungbuk National University, Cheongju 28644, Republic of Korea;2. Department of Food Science and Biotechnology, Chungbuk National University, Cheongju 28644, Republic of Korea;3. Department of Central Area Science, National Institute of Crop Science, Rural Development Administration, Suwon 16616, Republic of Korea |
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| Abstract: | This study presents an application of network-based spatial interpolation of student commuting trajectories from a series of origin–destination trip datasets. In particular, we incorporated multimodal public transportation networks, including bus networks, to estimate the student commuting routes. The student samples for this study were collected from an online travel diary survey conducted by Ritsumeikan University in Kyoto, Japan. The ArcGIS Network Analyst was used to construct spatial network datasets and reconstruct trajectories from the origin–destination trip dataset. In addition, line densities of estimated trajectories were calculated and displayed on maps for geovisualization. These maps helped us understand the precise locations of congestion and spatial patterns of student commuting, unlike linear representations of people’s movements that connect origins and destinations. Our study also showed that estimated trajectories can simulate quantitative impacts on travel time by promoting walking or the use of public transportation. |
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| Keywords: | Interpolation Network Student commuting Public transportation Geographic Information System (GIS) Japan |
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