Industrial park land capability assessment and post-evaluation in Markazi province

Amir Hedayati Aghmashhadi,Ali Azizi,Giuseppe T Cirella,Samaneh Zahedi,Maryam Hoseinkhani

doi:10.1007/s12518-021-00415-x

Abstract

Markazi province in Central Iran is a highly attractive area for the development of industrial centers; however, over the last few decades, unregulated development has led to environmental and socioeconomic issues. The purpose of this research is to evaluate the existing industrial parks and identify potential areas for appropriate development. An industrial land capability assessment utilized 14 main criteria and 10 constraint parameters of socioeconomic, infrastructural, biological, and physical aspects using a geographic information system-based analytical network process model. Results show that Markazi province has 14.27% of highly suitable and 11.32% of extremely suitable area for industrial development; contrariwise, 60.14% of the province has no potential or is classified as an exclusion zone. Moreover, 44.4% (i.e., 8 parks) of the province’s industrial parks are located in unsuitable zones. According to the land capability of Markazi province, the need to organize existing industrial parks and integrate industrial units alongside existing centers and potential areas should be considered in the industrial development policies of the province. The results of the sensitivity analysis also support the research findings.

Highlights

Sustainability involves the sustained use of natural resources as well as an understanding of the impact on the environment due to pollution, waste, and land use (Zhang et al, 2019)
This study presents a geographic information system (GIS)-based multi-criteria decision-making (MCDM) that will identify the most suitable sites for the development of industry in Markazi province using the Analytic network process (ANP) method
A complex MCDM problem is simplified by using the GIS-ANP methodology, which considers both quantitative and qualitative judgments to evaluate a set of criteria as well as interdependencies among the criteria

Summary

Introduction

Sustainability involves the sustained use of natural resources as well as an understanding of the impact on the environment due to pollution, waste, and land use (Zhang et al, 2019). Analytic network process (ANP) method, an MCDM ranking approach, is a viable technique to evaluate alternative locations based on key decision criteria to minimize distribution costs and negative impacts (Arsic et al, 2017; Seyedmohammadi et al, 2019; Caner and Aydin, 2021). As an MCDM problem, the common solution is based on the utility theory, such as simple linearity weighted method, ANP, and technique for order preference by similarity to an ideal solution (Chao et al, 2020). These improvements have allowed users to develop new models for identifying the best locations for industrial areas.

Objectives

Methods

Findings

Discussion

Conclusion