A model for calculating the spatial coverage of audible disaster warnings using gtfs realtime data

Akihiko Nishino, Akira Kodaka, Madoka Nakajima, Naohiko Kohtake

研究成果: Article査読

3 被引用数 (Scopus)


In the event of a large-scale disaster, the dissemination of audible disaster warning information via sirens is effective in ensuring a rapid response. Sirens can be installed not only on fixed towers, but also on public transport and other vehicles passing through residential areas, and at spots where residents congregate, to increase area coverage. Although models to calculate the spatial coverage of audible information delivered from fixed sirens have been constructed, no general-purpose model has been developed to assess the delivery from vehicles. In this study, we focused on the General Transit Feed Specification (GTFS), which is an open format for geospatial information on public transport. We conducted a spatial analysis using a geographic information system (GIS) on the basis of the acquired bus location information. We developed a model to calculate the spatial coverage of the audible information delivery for overlapping hazard maps and population. Assuming a flood occurred in the vicinity of Brisbane Central Station, Queensland, Australia, we confirmed that the developed model was capable of characterizing the time-series changes in the exposed population in the target area. Since the GTFS format is currently distributed across various countries, this assessment model is considered to be highly versatile and widely applicable.

ジャーナルSustainability (Switzerland)
出版ステータスPublished - 2021 12月 1

ASJC Scopus subject areas

  • 地理、計画および開発
  • 再生可能エネルギー、持続可能性、環境
  • 環境科学(その他)
  • エネルギー工学および電力技術
  • 管理、モニタリング、政策と法律


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