人流データ及びSNS情報を利用した災害時における都市と人の状況分析
建設業における災害対応では，顧客の災害復旧を支援するために，客先物件の被災状況を把握し，速やかに復旧対応にあたるという使命がある。それを実現するためには，復旧要員間で状況把握を統一し，人員や資機材を適切に配置する必要がある。本研究では，2018年大阪府で発生した地震災害を事例に，GPSデータ及びSNS情報を利用して災害状況を把握する手法の有用性を調査した。その結果GPSデータとSNS情報を重ね合わせることで各地の混雑状況に関して具体的な状況を把握できるほか，通勤者の出勤状況や移動経路・手段について災害時に特有な傾向の把握が可能であることを確認した。今後は，これらのデータと自社データとを組み合わせた，災害時の情報共有の仕組みと復旧要員等への行動支援方法の構築をすすめていく。
キーワード：事業継続計画，人流データ，SNS情報，被害状況把握，災害対応，2018年大阪府北部の地震
＊１ 技術センター 都市基盤技術研究部 防災研究室
Analysis of urban and people situation during disaster using human flow data and social media information
As part of construction companies' disaster management, one mission is understanding the damage suffered by clients' facilities and take prompt action to support their clients' business continuity planning. To this end, it is necessary for all restoration personnel to share the same recognition of the disaster situation so that personnel, materials, and equipment can be appropriately allocated. In this study, we analyzed and examined the possibility of understanding disaster situations using human flow data and social media information, which have become available in recent years, with the 2018 Osaka earthquake as the main subject. As a result, we confirmed that overlaying human flow data and social media information enables us to understand the specific congestion situation in various areas and determine trends that are unique to disaster situations about the status of commuter travel to work and the routes and means of traveling. Going forward, we will utilize the findings of this study to establish a mechanism for sharing disaster information and a method for supporting the actions of restoration personnel and others by combining these data with our own data.
Keywords: BCP, human flow data, social media information, damage assessment, disaster management, 2018 Osaka earthquake
*1 Disaster Preventation Research Section Urban Engineering Research Department Taisei Advanced Center of Technology