Title |
A Multi-criteria GIS Based Methodology for Smart Cities Site Selection |
ID_Doc |
44697 |
Authors |
Fashal, NA; El Khayat, GA; Salem, BB; El Kaffas, SM |
Title |
A Multi-criteria GIS Based Methodology for Smart Cities Site Selection |
Year |
2019 |
Published |
|
DOI |
10.1007/978-3-030-13283-5_4 |
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. |
Author Keywords |
Geographic Information Systems (GIS); Smart Cities (SC); Knowledge Precincts (KP); Site selection; Multi-Criteria Evaluation (MCE); Decision support; Location analysis |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science & Humanities (CPCI-SSH) |
EID |
WOS:000465515500004 |
WoS Category |
Development Studies; Computer Science, Interdisciplinary Applications; Computer Science, Theory & Methods; Public Administration |
Research Area |
Development Studies; Computer Science; Public Administration |
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