Spatio-Temporal Analysis for Understanding the Traffic Demand after the 2016 Kumamoto Earthquake Using Mobile Usage Data

Junji Urata, Yasushi Sasaki, Takamasa Iryo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper focuses on the effect of natural disasters on the population density transition. Emergency management needs demand forecasting by understanding the major demands during a disaster event. Mobile phone traffic is useful for understanding the demands because the behavioral dataset from typical surveys for ordinary demand pattern is impractical. The aim of our spatio-temporal analysis is to identify the characteristics of the population density after a disaster. To deal with this problem, we apply the latest spatial statistic approach to the aggregated mobile phone data before and after a disaster. A regression analysis clarifies the effect of the damage based on the result obtained by this approach. Our case study analyzes the population density before and after the 2016 Kumamoto earthquake. We confirm that this approach can identify the main characteristics: commuting transitions during morning and recreation population on the weekend using the data before the earthquake. The results clearly highlight some interesting spatio-temporal patterns after the earthquake: the recovery process of daily life and time variation of the refugee population density.

Original languageEnglish
Title of host publication2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2496-2503
Number of pages8
ISBN (Electronic)9781728103235
DOIs
Publication statusPublished - 2018 Dec 7
Externally publishedYes
Event21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018 - Maui, United States
Duration: 2018 Nov 42018 Nov 7

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume2018-November

Conference

Conference21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018
Country/TerritoryUnited States
CityMaui
Period18/11/418/11/7

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

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