THE USE OF INTELLIGENT TRANSPORTATION SYSTEMS IN BALAD DISTRICT USING GEOGRAPHIC INFORMATION SYSTEMS (GIS)
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Objective: This research aims to employ Intelligent Transportation Systems (ITS) in the Balad District through the use of Geographic Information Systems (GIS). Method: The study area lies between latitudes (37°44′48″ and 37°71′61″) north and longitudes (48°11′24″ and 49°49′25″) east, covering a total area of (2161.34 km²), equivalent to (592,145 donums). Through the analysis of the road network, the study identifies the fastest routes between specific points (e.g., from point A to point B). Service area analyses (cumulative and multiple) illustrate how accessibility changes with increased barriers; for example, determining the number of hospitals accessible within 5, 10, and 15 minutes’ drive from schools. Additionally, by analyzing traffic data, the accessibility of hospitals may vary according to traffic conditions. Results: Key requirements for the successful implementation of ITS include political commitment, sufficient budget allocations to ensure project sustainability, the establishment of traffic control centers for monitoring and managing traffic remotely, and the creation of a central database containing information on vehicles and road networks. Novelty: The study integrates ITS and GIS in the Balad District to identify optimal routes and assess service accessibility dynamically based on traffic conditions, highlighting infrastructural and administrative requirements for effective ITS deployment.
Ministry of Planning and Development Cooperation, Central Statistical Organization, Annual Statistical Abstract, 2018.
T. B. Mustafa Fassini, Scientific Symposium on Traffic Accidents in the Arab World and Ways to Address Them, Naif University, Saudi Arabia, 2005.
M. Baker, Environmental Policies, Development Bridge Series, Arab Planning Institute, Kuwait, no. 25, 3rd year, pp. 15–17, Jan. 2014.
S. Bin Abdulhameed, Intelligent Transportation Systems: Main Topics and Applications in the Kingdom of Saudi Arabia, College of Engineering, King Saud University, Saudi Arabia, Jan. 2012, p. 20.
R. S. Noufal, Network Analysis in Geographic Information Systems: Application Using ArcGIS 10.5, Faculty of Arts, Menoufia University, 2018, p. 14.
R. S. Noufal, previously cited source, p. 15.
M. Al-Khuzami Aziz and A. Al-Dhaher, "A Spatial Analysis Study of the Urban Transport Network in Kuwait City," Damascus Journal of Arts and Humanities, p. 33, 2002.
S. Abdah, previously cited source, p. 85.
K. Gregory et al., Motorization and the Provision of Roads in Countries and Cities, World Bank – Operations Evaluation Department (OED), 1997.
J. R. Ottensmann, “On Population-Weighted Density,” SSRN Electronic Journal, 2018. [Online]. Available: https://doi.org/10.2139/ssrn.3119965
J. R. Ottensmann, “The Use (and Misuse) of Population-Weighted Density,” SSRN Electronic Journal, 2021. [Online]. Available: https://doi.org/10.2139/ssrn.3970248
“Population-weighted density,” Wikipedia, 2024. [Online]. Available: https://en.wikipedia.org/wiki/Population_weighted_density
K. Huang, et al., “Declining urban density attenuates rising population-weighted SUHI extremes in the rapidly urbanizing Pearl River Delta region of China,” Scientific Reports, vol. 15, no. 1, p. 6432, 2025. [Online]. Available: https://doi.org/10.1038/s41598-025-96045-z
D. A. Plane, “A people-based density perspective on physical/virtual urban systems,” Cities, vol. 107, p. 102880, 2021. [Online]. Available: https://doi.org/10.1016/j.cities.2020.102880
R. C. Lewontin, “On the Characterization of Density and Resource Availability,” The American Naturalist, vol. 134, no. 4, pp. 513–523, 1989. [Online]. Available: https://doi.org/10.1086/284994
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