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Measuring the Attractiveness of Trip Destinations: A Study of the Kansai Region of Japan

Author

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  • Keisuke Kondo

    (Research Institute of Economy, Trade and Industry and Research Institute for Economics and Business Administration, Kobe University, JAPAN)

Abstract

This study proposes a novel concept of a regional attractiveness index based on human mobility flows. Assuming that individuals' mobility choice is based on utility maximization, this study aims to recover the attractiveness of trip destinations by estimating the gravity equation for interregional trip flows. Using mobility data from a Person Trip Survey and mobile phone data in the Kansai region of Japan, this study investigates whether different trip purposes (e.g., commuting to office and school, recreational trips, business trips, and returning home) and seasonal and tourism factors (e.g., holidays, events, and amusement facilities) can reveal spatial and temporal variations in the attractiveness of trip destinations. This study found that the proposed approach using interregional trip flows can effectively capture the extent to which trip destinations attract people from a region-wide perspective. As real-time human mobility data become increasingly available, the new index of regional attractiveness is expected to become a key performance indicator for daily monitoring of urban and regional economies.

Suggested Citation

  • Keisuke Kondo, 2023. "Measuring the Attractiveness of Trip Destinations: A Study of the Kansai Region of Japan," Discussion Paper Series DP2023-07, Research Institute for Economics & Business Administration, Kobe University, revised Apr 2024.
  • Handle: RePEc:kob:dpaper:dp2023-07
    as

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    File URL: https://www.rieb.kobe-u.ac.jp/academic/ra/dp/English/DP2023-07.pdf
    File Function: Revised version, 2024
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Regional attractiveness index; Person trip survey; Human mobility; Gravity equation; Exploratory spatial data analysis;
    All these keywords.

    JEL classification:

    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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