Integrating high-frequency data in a GIS environment for pedestrian congestion monitoring

• DOI: 10.1016/j.ipm.2022.103236
• Publication Date: 2022-12-21T04:25:05Z
• Authors: Maurici Ruiz-Pérez; Vicente Ramos; Bartomeu Alorda-L...
• Keywords: Geolocation

Pedestrian congestion can negatively impact how visitors perceive tourist destinations, as well turn local residents against the tourism industry. In this sense, urban planning and management principles derived from smart be enriched by applying suitable spatial analytical tools to monitor flows congestion. This study puts forward a methodology integrating emerging geospatial data sources into GIS environment analyze pedestrian through city of Palma. The information was obtained devices' geolocation captured free Wi-Fi network (Smart Wi-Fi) during 2019 in Palma, Spain. order calibrate method, fieldwork undertaken count individuals situ; then contrasted with raw provided network. also assesses areas based on walkable space number recorded devices. results show different mobility patterns, which highlight several overloaded congested within city. developed demonstrates usefulness method providing support decision-making management, promoting sustainability destinations.