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A Multi-criteria GIS Based Methodology for Smart Cities Site Selection

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Electronic Governance and Open Society: Challenges in Eurasia (EGOSE 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 947))

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Abstract

Building a Smart City (SC) is a practically irreversible decision that needs large investments. The success of a smart city in realizing its objectives of economic prosperity largely depends on its ability to reach its full potential; which in turn depends on its location. This research contributes a site selection method for SCs that satisfies the decision maker’s criteria. Through the analysis of relevant literature, the main criteria to be considered when locating a SC were identified. Interviews with subject matter experts enabled retaining the most relevant criteria to the Egyptian reality. Layers corresponding to these criteria were built in a Geographic Information System (GIS). The Intersect process was then applied to perform site selection and identify the region respecting the decision maker’s criteria. The developed GIS-Based Multi-Criteria Evaluation (MCE) methodology was tested on a study area that spans Alexandria, El Beheira and Matrouh governorates in Egypt. The prototype developed is a very beneficial instrument that enables facts based decision making as opposed to the current subjective practices used in selecting a SC location.

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References

  1. Komninos, N.: Intelligent cities: variable geometries of spatial intelligence. Intell. Build. Int. 3(3), 172–188 (2011)

    Article  Google Scholar 

  2. Kourtit, K., Nijkamp, P.: Smart cities in the innovation age. Innov. Eur. J. Soc. Sci. Res. 25(2), 93–95 (2012)

    Article  Google Scholar 

  3. Roche, S.: Geographic Information Science I: why does a smart city need to be spatially enabled? Prog. Hum. Geogr. 38(5), 703–711 (2014)

    Article  Google Scholar 

  4. Chan, K., Lau, T.: Assessing technology incubator programs in the science park: the good, the bad and the ugly. Technovation 25(10), 1215–1228 (2005)

    Article  Google Scholar 

  5. Westhead, P., Batstone, S., Martin, F.: Technology-based firms located on science parks: the applicability of Bullock’s ‘soft-hard’ model. Enterp. Innov. Manag. Stud. 1(2), 107–139 (2000)

    Article  Google Scholar 

  6. Yigitcanlar, T.A., Martinez-Fernandez, M.C.: Making space and place for knowledge production: knowledge precinct developments in Australia (2007)

    Google Scholar 

  7. Yigitcanlar, T.A.: Knowledge-based urban development. In: Mehdi, K.-P. (ed.) Encyclopedia of Information Science and Technology, 3rd edn, pp. 7475–7485. IGI Global, Hershey (2015)

    Chapter  Google Scholar 

  8. Yigitcanlar, T., Velibeyoglu, K., Martinez-Fernandez, C.: Rising knowledge cities: the role of urban knowledge precincts. J. Knowl. Manag. 12(5), 8–20 (2008)

    Article  Google Scholar 

  9. Yigitcanlar, T.: Evolving definition of knowledge cities. Int. J. Knowl.-Based Dev. 8(1), 1–4 (2017)

    Google Scholar 

  10. Huggins, R.: The evolution of knowledge clusters: progress and policy. Econ. Dev. Q. 22(4), 277–289 (2008)

    Article  Google Scholar 

  11. Luis Arboníes, A., Moso, M.: Basque Country: the knowledge cluster. J. Knowl. Manag. 6(4), 347–355 (2002)

    Article  Google Scholar 

  12. Garcia, B.C.: Developing futures: a knowledge-based capital for Manchester. J. Knowl. Manag. 8(5), 47–60 (2004)

    Article  Google Scholar 

  13. Scott, A.J.: Technopolis: high-technology industry and regional development in Southern California (1993)

    Google Scholar 

  14. Smilor, R.W., Gibson, D.V., Kozmetsky, G.: Creating the technopolis: high-technology development in Austin, Texas. J. Bus. Ventur. 4(1), 49–67 (1989)

    Article  Google Scholar 

  15. Anttiroiko, A.-V.: Science cities: their characteristics and future challenges. Int. J. Technol. Manage. 28(3–6), 395–418 (2004)

    Article  Google Scholar 

  16. Larsen, K.: Learning cities: the new recipe in regional development. Organisation for Economic Cooperation and Development. The OECD Observer, no. 217/218, p. 73 (1999)

    Google Scholar 

  17. Komninos, N.: Intelligent Cities: Innovation, Knowledge Systems, and Digital Spaces. Taylor & Francis, London (2002)

    Google Scholar 

  18. Camagni, R., Capello, R., Nijkamp, P.: Towards sustainable city policy: an economy-environment technology nexus. Ecol. Econ. 24(1), 103–118 (1998)

    Article  Google Scholar 

  19. Yigitcanlar, T.: Technology and the City: Systems, Applications and Implications. Routledge, New York (2016)

    Book  Google Scholar 

  20. Anthopoulos, L., Fitsilis, P.: From digital to ubiquitous cities: defining a common architecture for urban development, pp. 301–306. IEEE (2010)

    Google Scholar 

  21. Couclelis, H.: The construction of the digital city. Environ. Plan. 31(1), 5–19 (2004)

    Article  Google Scholar 

  22. Cocchia, A.: Smart and digital city: a systematic literature review. In: Dameri, R.P., Rosenthal-Sabroux, C. (eds.) Smart City. PI, pp. 13–43. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-06160-3_2

    Chapter  Google Scholar 

  23. Szymańska, A.I., Płaziak, M.: Enterprise and classical factors of its location on the market. Procedia-Soc. Behav. Sci. 120, 13–22 (2014)

    Article  Google Scholar 

  24. Alraouf, A.A.: Knowledge cities: examining the discourse smart villages, internet cities or creativity engines. Plan. Malaysia J. 4(1), 31–48 (2006)

    Google Scholar 

  25. Revelle, C.S., Eiselt, H.A., Daskin, M.S.: A bibliography for some fundamental problem categories in discrete location science. Eur. J. Oper. Res. 184(3), 817–848 (2008)

    Article  MathSciNet  Google Scholar 

  26. Vito, A., Giuseppe, D., Guido, S.: A decision based support system based on GIS technology. In: Nilmini, W., Eliezer, G. (eds.) Encyclopedia of Healthcare Information Systems, pp. 383–390. IGI Global, Hershey (2008)

    Google Scholar 

  27. Captivo, M.E., Clímaco, J., Fernandes, S.: A bicriteria DSS dedicated to location problems. In: Encyclopedia of Decision Making and Decision Support Technologies, vol. 1, pp. 53–60 (2008)

    Google Scholar 

  28. Jones, C.B.: Geographical Information Systems and Computer Cartography. Routledge, London (2014)

    Google Scholar 

  29. Chakraborty, D., Sahoo, R.: Fundamentals of Geographic Information System. Viva Books, New Delhi (2007)

    Google Scholar 

  30. Huisman, O., De By, R.: Principles of Geographic Information Systems. ITC Educational Textbook Series, vol. 1, p. 17 (2009)

    Google Scholar 

  31. Belka, K.: Multicriteria analysis and GIS application in the selection of sustainable motorway corridor. Institutionen för datavetenskap (2005)

    Google Scholar 

  32. Schneider, M.: Spatial data types: conceptual foundation for the design and implementation of spatial database systems and GIS (1999)

    Google Scholar 

  33. Sugumaran, R., Degroote, J.: Spatial Decision Support Systems: Principles and Practices. CRC Press, Boca Raton (2010)

    Book  Google Scholar 

  34. Information Resources Management Association: Geographic Information Systems: Concepts, Methodologies, Tools, and Applications: Concepts, Methodologies, Tools, and Applications. Information Science Reference (2012)

    Google Scholar 

  35. Yeh, A.G.-O.: Urban planning and GIS. Geogr. Inf. Syst. 2(877–888), 1 (1999)

    Google Scholar 

  36. Chakhar, S., Mousseau, V.: Spatial multicriteria decision making. In: Encyclopedia of Geographic Information Science, pp. 747–753 (2008)

    Google Scholar 

  37. Raikov, A.N.: Strategic planning of science city socioeconomic development. In: Alexandrov, D.A., Boukhanovsky, A.V., Chugunov, A.V., Kabanov, Y., Koltsova, O. (eds.) DTGS 2017. CCIS, vol. 745, pp. 295–306. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-69784-0_25

    Chapter  Google Scholar 

  38. Fashal, N.A., El Khayat, G.A.: A survey on knowledge precincts location problems and their GIS tools. In: Proceedings of ICT in Our Lives, Alexandria, Egypt, 19–21 December 2015, pp. 59–64 (2015)

    Google Scholar 

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

    Article  Google Scholar 

  40. Raikov, A.N., Avdeeva, Z., Ermakov, A.: Big data refining on the base of cognitive modeling. IFAC-PapersOnLine 49(32), 147–152 (2016)

    Article  Google Scholar 

  41. Xu, L., Yang, J.-B.: Introduction to multi-criteria decision making and the evidential reasoning approach. Manchester School of Management Manchester (2001)

    Google Scholar 

  42. San Cristobal, J.R.: Multi Criteria Analysis in the Renewable Energy Industry. Green Energy and Technology. Springer, Heidelberg (2012). https://doi.org/10.1007/978-1-4471-2346-0

    Book  Google Scholar 

  43. Malczewski, J.: GIS-based multicriteria decision analysis: a survey of the literature. Int. J. Geogr. Inf. Sci. 20(7), 703–726 (2006)

    Article  Google Scholar 

  44. Nyeko, M.: GIS and multi-criteria decision analysis for land use resource planning. J. Geogr. Inf. Syst. 4(04), 341–348 (2012)

    Google Scholar 

  45. Phua, M.-H., Minowa, M.: A GIS-based multi-criteria decision making approach to forest conservation planning at a landscape scale: a case study in the Kinabalu Area, Sabah, Malaysia. Landscape Urban Plan. 71(2–4), 207–222 (2005)

    Article  Google Scholar 

  46. Chang, N.-B., Parvathinathan, G., Breeden, J.B.: Combining GIS with fuzzy multicriteria decision-making for landfill siting in a fast-growing urban region. J. Environ. Manage. 87(1), 139–153 (2008)

    Article  Google Scholar 

  47. Chandio, I.A., Matori, A.N.B.: Land suitability analysis using geographic information systems (GIS) for hillside development: a case study of Penang Island (2011)

    Google Scholar 

  48. Van Haaren, R., Fthenakis, V.: GIS-based wind farm site selection using Spatial Multi-Criteria Analysis (SMCA): evaluating the case for New York State. Renew. Sustain. Energy Rev. 15(7), 3332–3340 (2011)

    Article  Google Scholar 

  49. Chen, H., Wood, M., Linstead, C., Maltby, E.: Uncertainty analysis in a GIS-based multi-criteria analysis tool for river catchment management. Environ. Model Softw. 26(4), 395–405 (2011)

    Article  Google Scholar 

  50. Pedrero, F., Albuquerque, A., do Monte, H.M., Cavaleiro, V., Alarcón, J.J.: Application of GIS-based multi-criteria analysis for site selection of aquifer recharge with reclaimed water. Resour. Conserv. Recycl. 56(1), 105–116 (2011)

    Article  Google Scholar 

  51. Sumathi, V., Natesan, U., Sarkar, C.: GIS-based approach for optimized siting of municipal solid waste landfill. Waste Manag. 28(11), 2146–2160 (2008)

    Article  Google Scholar 

  52. Vahidnia, M.H., Alesheikh, A.A., Alimohammadi, A.: Hospital site selection using fuzzy AHP and its derivatives. J. Environ. Manage. 90(10), 3048–3056 (2009)

    Article  Google Scholar 

  53. Yalcin, M., Gul, F.K.: A GIS-based multi criteria decision analysis approach for exploring geothermal resources: Akarcay basin (Afyonkarahisar). Geothermics 67, 18–28 (2017)

    Article  Google Scholar 

  54. Bajracharya, B., Too, L., Imukuka, J.K., Hearn, G.N.: Developing knowledge precincts in regional towns: opportunities and challenges (2009)

    Google Scholar 

  55. El Khayat, G.A., Fashal, N.A.: Inter and intra cities smartness: a survey on location problems and GIS tools. In: Sami, F., Khaoula, M. (eds.) Handbook of Research on Geographic Information Systems Applications and Advancements, pp. 296–320. IGI Global, Hershey (2017)

    Chapter  Google Scholar 

  56. Pucha-Cofrep, F., Fries, A., Cánovas-García, F., Oñate-Valdivieso, F., González-Jaramillo, V., Pucha Cofrep, D.: Fundamentals of GIS (2018)

    Google Scholar 

  57. Hansen, H.S.: GIS-based multi-criteria analysis of wind farm development, pp. 75–78. Citeseer (2005)

    Google Scholar 

  58. Jankowski, P.: Integrating geographical information systems and multiple criteria decision-making methods. Int. J. Geogr. Inf. Syst. 9(3), 251–273 (1995)

    Article  Google Scholar 

  59. Ellen, Y., Nicholas, S.: A learner-centered approach to technology integration: online geographical tools in the ESL classroom. In: Jared, K., Grace, O. (eds.) Handbook of Research on Learner-Centered Pedagogy in Teacher Education and Professional Development, pp. 1–22. IGI Global, Hershey (2017)

    Google Scholar 

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Acknowledgement

The authors would like to thank Mr. Ahmed El-Sobky (ITIDA and Chairman of Silicon Waha), Dr. Mohamed Meheina (Bibliotheca Alexandrina), Dr Walaa Sheta (Dean of the Institute of Informatics) and Eng. Mohamed Hanafy (ITI) who acted as subject matter experts in this research.

Author information

Authors and Affiliations

  1. Faculty of Commerce, Alexandria University, Alexandria, Egypt

    Nada A. Fashal & Ghada A. El Khayat

  2. Faculty of Science, Alexandria University, Alexandria, Egypt

    Boshra B. Salem

  3. Faculty of Computers and Information, Arab Academy for Science and Technology and Maritime Transport, Alexandria, Egypt

    Saleh M. El Kaffas

Authors
  1. Nada A. Fashal
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  2. Ghada A. El Khayat
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  3. Boshra B. Salem
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  4. Saleh M. El Kaffas
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Corresponding author

Correspondence to Ghada A. El Khayat .

Editor information

Editors and Affiliations

  1. eGovernance Center, ITMO University, St. Petersburg, Russia

    Andrei Chugunov

  2. Institute of Communications Studies, University of Leeds, Leeds, UK

    Yuri Misnikov

  3. North-West Institute of Management, Russian Presidential Academy of National Economy and Public Administration, St. Petersburg, Russia

    Evgeny Roshchin

  4. eGovernance Center, ITMO University, St. Petersburg, Russia

    Dmitrii Trutnev

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Fashal, N.A., El Khayat, G.A., Salem, B.B., El Kaffas, S.M. (2019). A Multi-criteria GIS Based Methodology for Smart Cities Site Selection. In: Chugunov, A., Misnikov, Y., Roshchin, E., Trutnev, D. (eds) Electronic Governance and Open Society: Challenges in Eurasia. EGOSE 2018. Communications in Computer and Information Science, vol 947. Springer, Cham. https://doi.org/10.1007/978-3-030-13283-5_4

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  • DOI: https://doi.org/10.1007/978-3-030-13283-5_4

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