Design of a Participatory Web-Based Geographic Information System for Determining Industrial Zones
Open Access
- 5 March 2021
- journal article
- research article
- Published by Wiley in Applied Computational Intelligence and Soft Computing
- Vol. 2021, 1-10
Abstract
Different types of site selection exploited by geographic information systems (GIS) by combining various types of data relate to the purpose of site selection. In reality, numerous factors including physical, environmental, and social factors affect the site selection in terms of deciding the location of a new industry. Accordingly, this paper conceives systems for determining new industrial zones in the form of web-based applications or ordinarily called web-based GIS. Thus, the application named the potential industrial zone smart systems, in which the prototype of the application is able to facilitate planning the determination of new industrial zone based on six parameters throughout the analytical hierarchy process method. The result weights of six criteria are soil type 35%, land use 32%, land slope 15%, the distance of land to river 9%, the distance of land from road and accessibility 5%, and the distance of land to public facilities 4%. Additionally, the web-based GIS is a user-friendly application to determine the planned industrial location. Further, the demonstration runs effortlessly in exhibiting data on the potential of new industrial zones in the city of Bekasi, West Java Province of Indonesia.Keywords
This publication has 16 references indexed in Scilit:
- A Comprehensive Method for Industrial Site Selection: The Macro-Location AnalysisIEEE Systems Journal, 2015
- Recent Trends in GIS ApplicationsSSRN Electronic Journal, 2015
- GIS Based Multi-criteria Analysis for Industrial Site SelectionProcedia Engineering, 2014
- Agricultural land use suitability analysis using GIS and AHP techniqueComputers and Electronics in Agriculture, 2013
- Estimation of soil erosion risk within a small mountainous sub-watershed in Kerala, India, using Revised Universal Soil Loss Equation (RUSLE) and geo-information technologyGeoscience Frontiers, 2012
- Soil erosion prediction using the Revised Universal Soil Loss Equation (RUSLE) in a GIS framework, Chania, Northwestern Crete, GreeceEnvironmental Geology, 2008
- Integrating multicriteria analysis and geographic information systems: the ordered weighted averaging (OWA) approachInternational Journal of Environmental Technology and Management, 2006
- Assessment of soil erosion using remote sensing and GIS in Nagpur district, Maharashtra for prioritisation and delineation of conservation unitsJournal of the Indian Society of Remote Sensing, 2002
- Planning sustainable land use in rural areas at different spatial levels using GIS and modelling toolsLandscape and Urban Planning, 1999
- Integrating geographical information systems and multiple criteria decision-making methodsInternational Journal of Geographical Information Science, 1995