Exploring hybrid models for identifying locations for active mobility pathways using real-time spatial Delphi and GANs

• Published in: European Transport Research Review Vol. 16; no. 1; pp. 61 - 12
• Main Authors: Calleo, Yuri, Giuffrida, Nadia, Pilla, Francesco
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.12.2024; Springer; Springer Nature B.V; SpringerOpen
• Subjects: Accident prevention; Air quality; Air quality management; Artificial intelligence; Automotive Engineering; Bicycles; Cities; Civil Engineering; Community involvement; Complex systems; Complex variables; Complexity; Convergence; Delphi method; Emissions control; Engineering; Forecasts and trends; Generative adversarial networks; Geospatial data; Original Paper; Outdoor air quality; Pedestrian areas; Pedestrians; Public health; Real time; Real variables; Real-time spatial Delphi; Regional/Spatial Science; Road design; Safety regulations; Spatial planning; TRA 2024 Dublin - Transport Transitions (Highlights of the 2024 Transport Research Arena conference); Transportation; Transportation authorities; Urban planning; Urban transportation; Generative adversarial networks; Spatial planning; Real-time spatial Delphi; Artificial intelligence

The spatial planning process is considered an extremely complex system, as it comprises different variables that interrelate and interact with each other. Effectively addressing this spatial complexity necessitates a multidisciplinary approach, as unified methodologies may prove insufficient. Specif...