ABSTRACT
This paper presents a topography-sensitive cognitive model for analysis and prediction of pedestrian movement in urban settings. Topography affects visibility and therefore the spatial awareness of pedestrians. It also accentuates the role of physical effort during travel and route selection. The existing models fall short in their reference to these issues. A thorough description of the proposed model is followed by a validation - the model was tested against two existing models in three case studies in Haifa and Jerusalem, Israel. The proposed model outperformed the others in the steeper parts of the case studies. Future model development is discussed.
Acknowledgments
Data courtesy of SPaDeLib at the Center of Urban and Regional Studies in the Faculty of Architecture and Town Planning, Technion IIT and the GIS department of the Municipality of Jerusalem.
Disclosure statement
No potential conflict of interest was reported by the authors.
Notes
1. A pseudo-code description of both stages of the PEM algorithm can be viewed at https://www.researchgate.net/publication/334290589_A_physical_effort-based_model_for_pedestrian_movement_in_topographic_urban_environment_-_Appendix_1_PEM_pseudo_code