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Trajectory Data Analyses for Pedestrian Space-time Activity Study
Published on: February 25, 2013
Measuring the attractiveness of trip destinations based on human mobility data.
1Research Institute of Economy, Trade and Industry, Chiyoda, Tokyo, 100-8901, Japan. kondo-keisuke@rieti.go.jp.
This study introduces a new regional attractiveness index using human mobility data. This index effectively measures how much destinations attract people, offering insights for urban and regional economic monitoring.
Area of Science:
- Urban Planning
- Transportation Geography
- Regional Science
Background:
- Understanding regional attractiveness is crucial for economic development and urban planning.
- Existing methods often lack dynamic and granular insights into destination appeal.
- Human mobility patterns reflect underlying regional economic and social factors.
Purpose of the Study:
- To develop a novel regional attractiveness index based on human mobility flows.
- To estimate destination attractiveness using a gravity equation model for interregional trips.
- To analyze spatial and temporal variations in attractiveness influenced by trip purpose and external factors.
Main Methods:
- Utilized a gravity equation model to estimate interregional trip flows.
- Incorporated data from person trip surveys and mobile phone data in Japan.
- Examined the impact of diverse trip purposes (commuting, business, leisure) and seasonal/tourism factors.
Main Results:
- The proposed index effectively captures the degree to which destinations attract people.
- Spatial and temporal variations in attractiveness were identified.
- The model demonstrated the influence of trip purpose and external factors on destination appeal.
Conclusions:
- Human mobility flows provide a robust basis for a regional attractiveness index.
- The index offers a valuable tool for monitoring urban and regional economies.
- Increasing availability of real-time mobility data enhances the potential of this index for dynamic analysis.
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