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The effects of spatial clustering of public facilities on social equity and urban congestion in the city of Batna (Algeria)

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Abstract

This study explores the anarchic situation in the distribution of public facilities in the city of Batna, and their negative impact on motorized mobility (travel, the influx in the city center, urban congestion, etc.). To analyze this situation a geographic information system (GIS) and geographical database were developed. For this purpose, we used the Unified Modelling Language approach to design an operational model for our GIS. Several spatial indices commonly used to explore the concentration of public facilities in the city center and their effects on urban congestion were examined, including the Hot spot (Getis-Ord Gi*), Ripley’s K function, and the average nearest neighbor. The results obtained show that 197 facilities (35%) are clustered on 13% of districts often characterized by small area (856 ha) and low density of population (118 inhabitants/ha), while 246 facilities (44%) are dispersed over an area of 1875 ha with more than 141 inhabitants/ha. These results obtained in the study could be used as an efficient method for urban studies and strategies.

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References

  • Arroyo-Mora, J. P., Svob, S., Kalacska, M., & Chazdon, R. L. (2014). Historical patterns of natural forest management in Costa Rica: The good, the bad and the ugly. Forests. https://doi.org/10.3390/f5071777.

    Article  Google Scholar 

  • Banos, A., & Thévenin, T. (2011). Geographical information and urban transport systems. Hoboken: Edition ISTE & Wiley.

    Google Scholar 

  • Berezowska, E. A. (2011). Urban programming in Algeria, new challenges, in French: Programmation urbaine en Algérie, de nouveaux défis. Lives of Cities Journal, 2, 20–29.

    Google Scholar 

  • Boutrid, M. L., & Kalla, M. (2015). La mobilité motorisée dans la ville de Batna, étude de la répartition spatiale des établissements de santé vis-à-vis du CHU : approche par scenarios. Bulletin de la société géographique de liège BSGLg, 64, 83–92.

    Google Scholar 

  • Church, R. L., & Murray, A. T. (2009). Business site selection, location analysis, and GIS. New Jersey: Wiley.

    Google Scholar 

  • Church, R. L., & Roberts, K. (1983). Generalized coverage models and public facility location. Papers of the Regional Science Association, 53, 117–135.

    Article  Google Scholar 

  • Cich, B. C. (2017). Four criteria for selecting health care sites. Health facilities management. Retrieved May 22, 2020, from https://www.hfmmagazine.com/articles/3116-four-criteria-for-selecting-health-care-sites.

  • Comber, A., Brunsdon, C., & Green, E. (2008). Using a GIS-based network analysis to determine urban green space accessibility for different ethnic and religious groups. Landscape and Urban Planning, 86(1), 103–114.

    Article  Google Scholar 

  • Dadashpoor, H., Rostami, F., & Alizadeh, B. (2016). Is inequality in the distribution of urban facilities inequitable? Exploring a method for identifying spatial inequity in an Iranian city. Cities. https://doi.org/10.1016/j.cities.2015.12.007.

    Article  Google Scholar 

  • Daskin, M. S., & Dean, L. K. (2004). Location of health care facilities. In M. L. Brandeau, F. Sainfort, & W. P. Pierskalla (Eds.), A handbook of methods and applications (pp. 44–77). Boston: Kluwer Academic Publishers.

    Google Scholar 

  • Davoine, P. A. (2011). UML modeling and tools for spatial analysis, in French: Modélisation UML et outils pour l’analyse spatiale, 5ème rencontre de Théo Quant, Institut polytechnique de Grenoble, Février 2001, (pp. 1–5). http://thema.univ-fcomte.fr/theoq/pdf/2001/TQ2001%20ARTICLE%2043.pdf.

  • Dridi, H., Bendib, A., & Kalla, M. (2015). Analysis of urban sprawl phenomenon in Batna city (Algeria) by remote sensing technique. Annals of the University of Oradea, 25(2), 211–220.

    Google Scholar 

  • EGIS Rail-Transurb Technirail. (2008). Feasibility study of the Batna tramway, in French: étude de faisabilité du tramway de Batna, synthesis report, transport directorate of the wilaya of Batna.

  • ESRI. (2018). How Hot Spot Analysis (Getis-Ord Gi*) works. Retrieved March 18, 2020, from https://desktop.arcgis.com/en/arcmap/10.3/tools/spatial-statistics-toolbox/h-how-hot-spot-analysis-getis-ord-gi-spatial-stati.htm.

  • Farhi, A. (1999). Congestion, hypercephaly and balance poles. Case of the wilaya of Batna, in French: Congestion, hypercéphalie et pôles d’équilibre. Cas de la wilaya de Batna. Science and Technology, 12, 81–87.

    Google Scholar 

  • Feng, Y., Chen, X., & Liu, Y. (2016). The effects of changing spatial scales on spatial patterns of CPUE for Ommastrephes bartramii in the northwest Pacific Ocean. Fisheries Research. https://doi.org/10.1016/j.fishres.2016.05.006.

    Article  Google Scholar 

  • Fisher, C. T., Fernández-Diaz, J. C., Cohen, A. S., Neil Cruz, O., Gonzáles, A. M., et al. (2016). Identifying ancient settlement patterns through LiDAR in the Mosquitia Region of Honduras. PLoS ONE. https://doi.org/10.1371/journal.pone.0159890.

    Article  Google Scholar 

  • Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographic Analysis, 24(3), 189–206.

    Article  Google Scholar 

  • Grimshaw, J. (1995). public facilities sitting and transportation access. Race, Poverty and the Environnment, 6(1), 11–14.

    Google Scholar 

  • Hosein, S., Al-Tahir, R., & Ramlal, B. (2013). Spatiotemporal analysis of dengue hemorrhagic fever and dengue shock syndrome incidence within Trinidad, West Indies. In Conference HEALTH GIS ‘13, November 5–8, Orlando, Florida USA. https://doi.org/10.1145/2535708.2535710.

  • Jana, M., & Sar, N. (2016). Modeling of hotspot detection using cluster outlier analysis and Getis-Ord Gi* statistic of educational development in upper-primary level. India: Modeling Earth Systems and Environment. https://doi.org/10.1007/s40808-016-0122-x.

    Book  Google Scholar 

  • Kim, S. M., & Choi, Y. (2017). Assessing statistically significant heavy-metal concentrations in abandoned mine areas via hot spot analysis of portable XRF data. International Journal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph14060654.

    Article  Google Scholar 

  • Koontz, C. M. (1997). Library facility siting and location handbook. London: Greenwood Press.

    Google Scholar 

  • Laplanche, F. (2002). GIS project design with UML, in French: Conception de projet SIG avec UML. Bulletin of the Geographical Society of Liège, 42, 19–25.

    Google Scholar 

  • Lhomme, S., Laganier, R., Diab, Y., & Serre, D. (2013). A GIS prototype for analysing urban resilience: Application to the city of Dublin, in French: Un prototype SIG pour analyser la résilience urbaine: Application à la ville de Dublin. Vertigeo the e-Journal in Environmental Sciences. https://doi.org/10.4000/vertigo.14502.

    Article  Google Scholar 

  • Liao, C. H., Sheng, C. H., & Tsou, K. W. (2009). Explore the spatial equity of urban public facility allocation based on sustainable development viewpoint. In 14th International conference on urban planning and regional development in the information society, 22–25 April 2009, Sitges, Spain.

  • Liu, N., Huang, B., & Cgandramouli, M. (2014). Optimal siting of fire stations using GIS and ANT algorithm. Journal of Computing in Civil Engineering, 20(5), 361–369.

    Article  Google Scholar 

  • McDonald, N. C. (2010). School siting contested visions of the community school. Journal of the American Planning Association, 77(2), 1–15.

    Google Scholar 

  • Murray, A. T. (2015). Fire station siting. In H. A. Eisel & V. Marianov (Eds.), Applications of location analysis (pp. 293–307). Cham: Springer.

    Chapter  Google Scholar 

  • Naceur, F. (2003). Associative dynamics in spontaneous neighbourhoods, Batna—Algeria, in French: Dynamique associatif dans les quartiers spontanés, Batna—Algérie, ASRDLF colloquium, Lyon, France.

  • Naceur, F. (2013). Impact of urban upgrading on perceptions of safety in informal settlements: Case study of Bouakal. Batna: Frontiers of Architectural Research. https://doi.org/10.1016/j.foar.2013.06.004.

    Book  Google Scholar 

  • National Statistical Office of Algeria ONS. (2008). 5th General Population and Housing Census (RGPH), Communal summary table, commune of Batna.

  • National Statistical Office of Algeria ONS. (2012). First economic census, final results of the first phase.

  • Nour, A. M. (2011). The potential of GIS tools in strategic urban planning process; as an approach for sustainable development in Egypt. Journal of Sustainable Development, 4(1), 284–298.

    Google Scholar 

  • Oh, K., & Jeong, S. (2007). Assessing the spatial distribution of urban parks using GIS. Landscape and Urban Planning, 82(1), 25–32.

    Article  Google Scholar 

  • Ohri, A., & Poonam, A. (2012). Urban sprawl mapping and land use change detection using remote sensing and GIS. International Journal of Remote Sensing and GIS, 1(1), 12–25.

    Google Scholar 

  • Olthuis, K., Mahalingam, K., Tartas, P. B., & Zevenbergen, C. (2019). Variability of wetslums using geo-information techniques: A case study of a specific human habitat in Korail, Dhaka. In C. M. Musarella, A. C. Ortiz, & R. Q. Canas (Eds.), Habitats of the world—biodiversity and threats. London: IntechOpen. https://doi.org/10.5772/intechopen.85649.

    Chapter  Google Scholar 

  • Omer, I. (2006). Evaluating accessibility using house-level data: A spatial equity perspective. Computers, Environment and Urban Systems, 30, 254–274.

    Article  Google Scholar 

  • Ord, J. K., & Getis, A. (1995). Local spatial autocorrelation statistics: Distributional issues and an application. Geographic Analysis, 27(4), 286–306.

    Article  Google Scholar 

  • Perret, J., Curie, F., Gaffuri, J., & Ruas, A. (2010). A multi-agent system for the simulation of urban dynamics. In 10th European conference on complex systems (ECCS’10), Lisbon, Portugal.

  • Prasannakumar, V., Vijith, H., Charutha, R., & Geetha, N. (2011). Spatio-temporal clustering of road accidents: GIS based analysis and assessment. Procedia Social and Behavioral Sciences. https://doi.org/10.1016/j.sbspro.2011.07.020.

    Article  Google Scholar 

  • Rastegari, M., & Saraei, M. H. (2016). A comparative analysis of facility level and population distribution in urban network of Yazd Province. Journal of Urban Economics and Management, 4(3), 1–18.

    Google Scholar 

  • Rikalovic, A., Cosic, I., & Lazarevic, D. (2014). GIS based multi-criteria analysis for industrial site selection. Procedia Engineering, 69, 1054–1063.

    Article  Google Scholar 

  • Roques, P., & Vallée, F. (2007). UML 2 in action, from needs analysis to design in Java, in French: UML 2 en action, De l’analyse des besoins à la conception en Java, 4th Edition, Eyrolles edition.

  • Sadahiro, Y. (2004). Spatiotemporal analysis of the distribution of urban facilities in terms of accessibility. Papers in Regional Science, 84(1), 61–84.

    Article  Google Scholar 

  • Sayer, D., & Wienhold, M. (2013). A GIS-investigation of four early Anglo-Saxon Cemeteries: Ripley’s K-function analysis of spatial groupings amongst graves. Social Science Computer Review, 31(1), 71–89.

    Article  Google Scholar 

  • Songchitruksa, P., & Zeng, X. (2010). Getis-Ord spatial statistics to identify hot spots by using incident management data. Journal of the Transportation Research Board. https://doi.org/10.3141/2165-05.

    Article  Google Scholar 

  • Tahmasbi, B., Mansourianfar, B. H., Haghshenas, H., & Kim, I. (2019). Multimodal accessibility-based equity assessment of urban public facilities distribution. Sustainable Cities and Society. https://doi.org/10.1016/j.scs.2019.101633.

    Article  Google Scholar 

  • Taleai, M., Sliuzas, R., & Flacke, J. (2014). An integrated framework to evaluate the equity of urban public facilities using spatial multi-criteria analysis. Cities. https://doi.org/10.1016/j.cities.2014.04.006.

    Article  Google Scholar 

  • Trousdale, X., & Nelms, C. (2009). Siting major public facilities facts: Values and accountability. Journal of Urban Planning and Development, 135(4), 159–165.

    Article  Google Scholar 

  • Trudeau, D. (2018). Integrating social equity in sustainable development practice: Institutional commitments and patient capital. Sustainable Cities and Society. https://doi.org/10.1016/j.scs.2018.05.007.

    Article  Google Scholar 

  • Westford, P. (2018). Adapting school siting to school choice and compact city policies. In C. A. Brebbia, J. Longhurts, E. Marco, & C. Booth (Eds.), Sustainable development studies (pp. 169–179). Southampton: WIT press.

    Google Scholar 

  • Zhao, M., Xu, G., & Li, Y. (2016). Evaluating urban public facilities of Shenzhen by application of open source data. Geo-spatial Information Science. https://doi.org/10.1080/10095020.2016.1176724.

    Article  Google Scholar 

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Correspondence to Abdelhalim Bendib.

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Bendib, A. The effects of spatial clustering of public facilities on social equity and urban congestion in the city of Batna (Algeria). GeoJournal 87, 861–874 (2022). https://doi.org/10.1007/s10708-020-10289-y

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