:: Volume 4, Issue 2 (9-2016) ::
jgit 2016, 4(2): 65-81 Back to browse issues page
Developing an agent-based model for spatial simulation of pedestrian's behavior passing across the street and using the pedestrian bridges
Farhad Hosseinali *, Mohammad Azizkhani
Shahid Rajaee Teacher Training University
Abstract:   (3346 Views)

Traffic elements are considered as important elemnts in traffic management. In Iran, overcrowding of automobiles in the cities led the traffic elemnts to be more vehicle-driven rather than pedestrian-oriented  hence safety and well-being of pedestrains took less into consideration. Pedestrian bridge is one of the most important traffic elements which is strongly effects the security of pedestrians passing across the streets. Finding the best locations to install pedestrian bridges is normally done based on less comprehend and analytic prepared regulations. This causes low efficiency of many bridges and people choose the street itself instead of these safe passages. In this research alongside usage of spatial processing tools, an agent-based model is developed for assessing the pedestrians behaviors while going across the street. Agent-based model provides the possibility of taking the decision making process and its efficient situations into account which results in more reliable consequences. The developed model was used to evaluate four existent pedestrian bridges in Pasdaran Blvd, Shiraz. The results showed that performance of the least used bridge can be improved up to 27% by a 150 meters displacement. Then, the model was deployed to find two best places for a new bridge. The model anticipate that if a new bridge is constructed in each of new suggested locations, the pedestrians will use it more often than the existing four pedestrian bridges.

Keywords: Agent-based model, Pedestrian bridge, Shiraz, GIS
Full-Text [PDF 1202 kb]   (1245 Downloads)    
Type of Study: Research | Subject: GIS
Received: 2016/05/29 | Accepted: 2016/10/2 | Published: 2017/01/15

XML   Persian Abstract   Print

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 4, Issue 2 (9-2016) Back to browse issues page