Volume 6, Issue 1 (2025)                   2025, 6(1): 89-101 | Back to browse issues page


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Mavedat E, momeni K, Khodakarami A. Sustainable Investigation of the Smart Network of Urban Roads to Attend Naja on Time Based on Dijkstra Algorithm (Case Study: Ahwaz City). Urban Design Discourse a Review of Contemporary Litreatures and Theories 2025; 6 (1) :89-101
URL: http://udd.modares.ac.ir/article-40-72595-en.html
1- Assistant professor, Department of Urban Planning and Design, Faculty of Architecture and Urban Planning, Jundi-Shapur University of Technology, Dezful, Iran
2- Associate Professor of Architecture, Department of Architecture, Faculty of Architecture and Urban Planning, Jundi-Shapur University of Technology, Dezful, Iran , K_Momeni@jsu.ac.ir
3- BSc. in Mapping Engineering, Jundi-Shapur University of Technology, Dezful, Iran
Abstract:   (117 Views)
Problem: Crime and various manifestations of violence and disorder are very complex social phenomena and if there is a favorable space and time, the basis for crime and its repetition is provided And over time, a geographic environment becomes a crime center. Ahvaz city has many neighborhoods and scattered activity centers and empty unbuilt spaces. And green spaces such as parks, groves and gardens are in urban contexts. which increases the probability of crime.
Based on this, it becomes necessary to design a smart network of roads in Ahvaz city to provide better assistance to the police unit.
Objective: To know the spatial structures of Ahvaz's road network, crime rate, analysis of the position of the police units, which plays a significant role in providing better services to the relief unit.
Method: ArcGIS, EXCEL and Grafer software were used to analyze the findings. Dijkstra's shortest path algorithm and Euler's algorithm have also been used to find the shortest path.
Results: The present research shows what is important in the investigation of Ahvaz police units.
The spatial distribution of these centers is in terms of access and also the distance of police stations to each other. According to the routing analysis provided with GIS, Moghimizadeh Street is the least far from the crime-prone area with a distance of 8 meters.
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Article Type: Original Research | Subject: Urban Mobility
Received: 2023/11/23 | Accepted: 2023/12/26 | Published: 2025/05/31

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