Application of Geoinformatics Techniques in the evaluation and spatial & temporal Monitoring of Speed Calms on Traffic Safety in Makkah Al-Mukarramah

Document Type : Original Article

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1 Lecturer of Transportation Geography and Geographic Information Systems - Department of Geography and Geographic Information Systems - Faculty of Arts - Assiut University

2 Lecturer of geographic information systems - Department of Geography and Geographic Information Systems - Faculty of Arts - Assiut University

Abstract

The Research dealt with the Application of Geoinformatics Techniques in the Study of speed Calms on the Axes of the road network in Makkah Al-Mukarramah. By using these Techniques and their Integration with the field Work data, the current sites of Speed Calms were Evaluated, Speeds were Monitored Spatially and Temporally, and the most suitable sites for establishing new speed Calms were identified. In this, modeling was used within the Geographic Information Systems Environment, depending on the weights and relative importance of the spatial determinants approved by the Transport and Traffic Coordination Committee in Makkah Al-Mukarramah Municipality. Spatial Analyst Tools and Raster Calculator were used in Arc GIS,V10.8.4, and the accuracy of Implementing Current Speed Reducers using (ROC Curve) analysis was 75%. It is considered a good accuracy according to the International Classification, and by Applying The factorial analysis, especially Total Variance Explained, it was found that mosques are the most Influential Factor In Determining the locations of current Speed Reducers in the study area by 80.26%. The KMO and Bartlett's method was used to test the quality of the measurement and exceeded 70%, According to the Average Nearest Neighbor analysis in Arc GIS, V10.8.4, all Spatial determinants of Speed Calms take the Clustered Distribution Pattern.The Study concluded that Proposals were Presented for 162 new sites for speed reducers in the city of Makkah Al-Mukarramah, which are Geographically Distributed over The total Neighborhoods of the City. The accuracy of the analysis reached 92%, which is a very good accuracy

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