GIS-based Services Analysis and Multi-Criteria for An Optimal Planning of Police Station Location

GIS-based Services Analysis and Multi-Criteria for Optimal Planning of Location of a Police Station

In sustainable urban planning, finding an optimal location for land use is critical to managing the distribution of land. Therefore, finding a location requires detailed information to conduct a correct evaluation of factors influencing the choice. The purpose of this paper is to find an appropriate site for a police station based on GIS in Alaziziyah Municipality, Jeddah. A novel method is proposed by combing service area analysis and multi-criteria analysis to reduce the emergency response time. The evaluation was conducted based on travel time from the two available police stations in the study area. The ten critical zones were generated by using network analysis with each zone representing one-minute travel time coverage. The critical zones were ranking, and weightage was applied as being crime risk-prone considering the distance from facilities and the travel time. The facilities were categorised into three groups, namely education, health, and tourism services. A suitability map was created to determine the priorities of alternative locations and the highly suitable area was overlaid with aerial photograph to determine land availability. The facility location-allocation was used to select the best location for setting up a police station. This approach revealed optimal solutions for government or planners as they seek to make the right decision for site selection.

Keywords:

GIS, Service analysis, Police station, Site selection Multi-criteria,

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[1] El Baroudy, A.A., “Mapping and evaluating land suitability using a GIS-based mod-el”, Catena, 140: 96-104, (2016).
[2] Elsheikh, R.F.A., “Multi-criteria decision making in hotel site selection”, International Journal of Engineering Science Invention, 6: 15-18, (2016).
[3] Neisani Samani, Z., Karimi, M. and Alesheikh, A.A., “A novel approach to site selection: Collaborative multi-criteria decision making through geo-social network (case study: Pub-lic Parking)”, ISPRS International Journal of Geo-Information, 7(3): 82, (2018).
[4] Chakraborty, R., Ray, A. and Dan, P., “Multi criteria decision making methods for location selection of distribution centers”, International Journal of Industrial Engineering Computations, 4(4): 491-504, (2013).
[5] Guarini, M.R., Battisti, F. and Chiovitti, A., “A methodology for the selection of multi-criteria decision analysis methods in real estate and land management process-es”, Sustainability, 10)2): 507, (2018).
[6] Hasan Rahmani, M. and Golmehr, E., “The Ideal and Practical Pattern of Positioning Police Stations in Qazvin City and its Comparison with the Present Condition”, European Online Journal of Natural and Social Sciences: Proceedings, 3(4): 320, (2015).
[7] Kim, Y., Lee, J. and Song, J., “Police Station Site Selection in Incheon using AHP, GIS”, In Proceedings of the Korea Information Processing Society Conference, 1143-1145, Korea Information Processing Society, (2012).
[8] Ahmed, M., Muhammad, N., Mohammed, M.U. and Idris, Y., “A GIS-Based analysis of police stations distributions in kano metropolis”, IOSR Journal of Computer Engineering, 8(4): 72-78, (2013).
[9] Liu, Y.S., Wang, J.Y. and Guo, L.Y., “GIS-Based Assessment of Land Suitability for Optimal Allocation in the Qinling Mountains, China”, Pedosphere, 16(5): 579-586, (2006).
[10] Saaty., T.L., “Decision making with the analytic hierarchy process”, International Journal of Services Sciences, 1: 83-98, (2008).
[11] Erden, T. and Coskun, M.Z., “Multi-criteria site selection for fire services: the interaction with analytic hierarchy process and geographic information systems”, Natural Hazards and Earth System Sciences, 10(10): 2127, (2010).
[12] Mirzahossein, H., Sedghi, M., Habibi, H.M. and Jalali, F., “Site selection methodology for emergency centers in Silk Road based on compatibility with Asian Highway network using the AHP and ArcGIS (case study: IR Iran)”, Innovative Infrastructure Solutions, 5(3): 1-14, (2020).
[13] Şen, A., Önden, İ., Gökgöz, T. and Şen, C., “A GIS approach to fire station location selection”, GeoInformation for Disaster Management Conference, (2011).
[14] Hamadouche, M.A., Mederbal, K., Kouri, L., Anteur, D. “GIS-based multicriteria analysis: an approach to select priority areas for preservation in the Ahaggar National Park, Algeria”, Arabian Journal of Geosciences, 7: 419–434, (2014).
[15] Jeddah-Municipality, Retrieved from https://www.jeddah.gov.sa/Municipalities/index.php, (2015).
[16] Ahmed, S., Ibrahim, R.F. and Hefny, H.A., “GIS-based network analysis for the roads network of the Greater Cairo area”, In Proc. of 2nd International Conference on Applied Research in Computer Science and Engineering, (2017).
[17] Mar, S.S.H. and Ne, O.H., “GIS based Fire Emergency Response System for Mandalay”, International Journal of Open Information Technologies, 7(12), (2019).
[18] Hetamsaria, P., “Applications of Network Analysis Features in GIS”, Platform: A Journal of Engineering, 3(2): 46-54, (2019).
[19] Elsheikh, R. F. A., Elhag, A., Sideeg, S. E. K., Mohammed, A. E., Gism, N. A., Abd Allah, M. S. “Route network analysis in Khartoum city”, Journal of Science and Technology, 17(1), (2016).
[20] Balasubramani, K., Gomathi, M. and Prasad, S., “GIS-Based Sevice Area Analysis for Optimal Planing Strategies: A Case Study of Fire Service Stations in Madurai City”, Geographic Analysis, 5: 2319-5371, (2016).
[21] Comber, A., Brunsdon, C., Hardy, J. and Radburn, R., “Using a GIS—Based network analysis and optimisation routines to evaluate service provision: A case study of the UK post office”, Applied Spatial Analysis and Policy, 2(1): 47-64, (2009).
[22] Prakash, T.N., “Land suitability analysis for agricultural crops: a fuzzy multicriteria decision making approach”, ITC, (2003).
[23] Soltani, A. and Marandi, E.Z., “Hospital site selection using two-stage fuzzy multi-criteria decision-making process”, Journal of Urban and Environmental Engineering, 5(1): 32-43, (2011).
[24] Flisek, P. and Lewandowicz, E., “A methodology for generating service areas that accounts for linear barriers”, ISPRS International Journal of Geo-Information, 8(9): 423, (2019).
[25] Nicoară, P.S. and Haidu, I., “A GIS based network analysis for the identification of shortest route access to emergency medical facilities”, Geographia Technica, 9(2): 60-67, (2014).
[26] Vidal, J., Blanes I. and Tom, K., “The effect of police response time on crime detection”, (2015). Retrieved from http://eprints.lse.ac.uk/64979/1/dp1376.pdf
[27] Bratton, W. and Peter K., “The turnaround: How America's top cop reversed the crime epidemic”, Random House, (2009).
[28] Karn, Jacqui. Policing and crime reduction: “The evidence and its implications for practice”, Washington DC: Police Foundation, (2013).
[29] Nguyen, L., Chou, T.Y., Fang, Y.M., Lin, F.C., Van Hoang, T. and Huang, Y.M., “Optimal Site Selection for Land Use Planning: A Comparison Between Two Approaches of Fuzzy Analytic Hierarchy Process and Fuzzy Analytic Network Process”, Proceedings of International Conference on Engineering and Natural Science, (2017).
[30] Yang, B., “GIS crime mapping to support evidence-based solutions provided by community-based organizations”, Sustainability, 11(18): 4889, (2019).