Presenting a Strategic Model of Intelligent Monitoring of Construction Violations in Urban Management (Case Study: Mashhad Metropolis Area and Privacy)

Document Type : Original Article

Authors

1 Ph.D. of Crisis Management, Mashhad Municipality, Mashhad

2 M.Sc. of Geography and Urban Planning, Mashhad Municipality, Mashhad

3 M.Sc. of Urban Design and Urban Planning, Mashhad Municipality, Mashhad

4 .D. of Geography and Rural Planning, Ferdowsi University of Mashhad, Mashhad

Abstract

The dramatic increase in construction in recent decades has been accompanied by an increase in the number of construction violations in urbanized areas and has overshadowed the urban management and planning system, so preventing unauthorized urban construction is one of the main problems of city managers. The current method of controlling construction violations includes field inspections based on human knowledge, which in addition to the need to spend exorbitant financial, time and human resources, may lead to collusion between builders and municipal inspectors or even failure to identify construction violations in a timely manner. In this regard, providing an intelligent and accurate method for identifying construction violations and targeting the search for construction patrols is more than necessary. The aim of this study is to provide an intelligent strategic model in monitoring violations. The present research is applied in terms of purpose and descriptive and causal in terms of method and the data has been collected by library and field methods. The results of this study indicate that by using the intelligent monitoring system, it is possible to intelligently monitor illegal constructs by processing the required image and data techniques, with the least presence of human agents and in a shorter time. The overall accuracy of 94% and the kappa coefficient of 71% for image classification in this system confirm the accuracy of the above results. It shows that in this method, the speed and accuracy of image classification, identification of changing buildings and identification of illegal constructions are much higher than physical and existing methods.

Keywords

References

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Iranian Journal of Remote Sensing & GIS
Volume 15, Issue 3 - Serial Number 59
September 2023
Pages 61-82

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