A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Network-based spatial interpolation of commuting trajectories: application of a university commuting management project in Kyoto, Japan
Highlights Trajectories were estimated by using a network-based spatio-temporal interpolation. We incorporated multimodal public transport networks including bus network. Line densities of trajectories were geo-visualized for understanding congestion. Impacts on travel time, distance and routes by intervention were simulated.
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.
Network-based spatial interpolation of commuting trajectories: application of a university commuting management project in Kyoto, Japan
Highlights Trajectories were estimated by using a network-based spatio-temporal interpolation. We incorporated multimodal public transport networks including bus network. Line densities of trajectories were geo-visualized for understanding congestion. Impacts on travel time, distance and routes by intervention were simulated.
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.
Network-based spatial interpolation of commuting trajectories: application of a university commuting management project in Kyoto, Japan
Hanaoka, Kazumasa (author) / Nakaya, Tomoki (author) / Yano, Keiji (author) / Inoue, Shigeru (author)
Journal of Transport Geography ; 34 ; 274-281
2013-01-01
8 pages
Article (Journal)
Electronic Resource
English
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