Identifying the Optimum Locations for Food Industries in Qaemshahr-Iran, Using GIS and Image Processing Techniques

Authors

  • Sharifeh Hazini Institute of Geospatial Science and Technology (INSTeG), Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Mazlan Hashim Institute of Geospatial Science and Technology (INSTeG), Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Komeil Rokni GNSS & Geodynamics Research Group (G & G), Faculty of Geoinformation and Real Estate, University Technology Malaysia, 81310 81310 UTM Johor Bahru, Johor, Malaysia
  • Arezou Shafaghat Construction Research Center (CRC), Institute of Smart Infrastructure and Innovative Construction (ISIIC), Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia

DOI:

https://doi.org/10.11113/jt.v74.4623

Keywords:

Food industry, site selection, remote sensing, GIS

Abstract

Determining optimum locations for an industry is a critical and complex decision for manufacturers. To select a potential site to establish food industries, various criteria should be considered regarding accessibility, delivery, market, and environmental factors. In this study, the weighted overlay method was employed to develop an up-to-date geodatabase providing the potential areas for establishing food industries to assist urban development in Qaemshahr city, Iran. The required data were acquired through various sources including remote sensing, Global Positioning System (GPS), and Geographical Information System (GIS). To achieve the aim, firstly the criteria of food industries settlement in Qaemshahr city have been measures, and the corresponding maps have been prepared. Using weighted overlay method all weighted maps were aggregated and final suitability map was established. Finally, the suitable sites for food industries in Qaemshahr were determined. The results have been validated by experts practicing Qaemshahr urban development. The results showed that around 172 sites are suitable for establishing the food industries in Qaemshahr. Accuracy assessment analysis proved the effectiveness of the achieved results with the accuracy level of 90%. The study concluded that the geodatabase model prepared in this study could be useful for future food industry development plans in Qaemshahr city, Iran.

References

Reisi, M., L. Aye, and A. Soffianian. 2011. Industrial Site Selection by GIS in Isfahan, Iran. 19th International Conference on Geoinformatics. 8 June 2011, Shanghai.

Lamit, H., Shafaghat, A., Abd. Majid, M. Z., Keyvanfar, A., Shafaghat, A, Ahmad, M. H, Malik, T. A. 2013a. The Path Walkability Index (PAWDEX) Model: To Measure Built Environment Variables Influencing Residents’ Walking Behavior. Journal of Advanced Science Letter. 19(10): 3017–3020.

Abd Majid, M. Z., Zakaria, W. Z., Lamit, H., Keyvanfar, A., Shafaghat, A., Surya Bakti, E. 2012. Construction Information Systems For Executive Management In Monitoring Work Progress. Journal of Advanced Science Letter. (15)PP: 169–171.

Lambert, D. M., K. T. McNamara, and M. I. Garrett. 2006. Food Industry Investment Flows: Implications for Rural Development. The Review of Regional Studies. 36(2): 140–162.

Trade, I.M.o.I.M.a. 2013. The Portion of Agriculture in Economy of the Iran. Tehran.

Dezyani, M., H.a. Mirzai, and r. Ezati. 2009. Principles of Design of Food Industry Factories. Tehran, Iran Agricultural Science.

Lamit, H., Shafaghat, A., Abd. Majid, M. Z., Keyvanfar, A., Ahmad, M. H., Malik, T. A., Zin, R., Yadollahi, M. 2013b. Application Of The Path Walkability Index (Pawdex) Model: A Case Study Of Retail Walking Pattern Recognition In The Taman University Neighborhood, Skudai, Malaysia. Journal of Advanced Science Letters. 19(10): 3021–3024. .

Lambert, D., K. McNamara, and M. Garret. 2006. An Application of Spatial Poisson Models to Manufacturing Investment Location Analysis. Journal of Agriculture and Applied Economics. 38(1): 102–115.

Mohamed, M. and R. Plante. 2002. Remote Sensing and Geographic Information Systems (GIS) for Developing Countries. International Geoscience and Remote Sensing Symposium, 24–28 June 2002, Toronto.

Afzali, A., et al. 2014. Inter-municipal Landfill Site Selection Using Analytic Network Process. Water Resources Management. 28(8): 2179–2194.

Lamit, H., Abd Majid, M. Z., Shafaghat, A., Keyvanfar A. 2012. Sidewalk Design Decisionmaking Model Based On Walking Behaviour Pattern Recognition: Proposal Validation. International Journal of Sustainable Development. 4(1): 27–34.

Chandio, I. A., et al. 2011. GIS-based Land Suitability Analysis Using AHP For Public Parks Planning In Larkana City. Modern Applied Science. 5(4): 177.

Afzali, A., J. Samani, and M. Rashid. 2011. Municipal Landfill Site Selection for Isfahan City by Use of Fuzzy Logic and Analytic Hierarchy Process. Iranian Journal of Environmental Health Science & Engineering. 8(3): 273–284.

Golafshani, M. B., et al. 2012. Compare the Parameters of the Water Balance in Traditional and Land Levening Paddy Fields in Qaemshahr City. Journal of Soil and Water. 26(4): 1010–1017.

Bansouleh, B. F. 2009. Development of a Spatial Planning Support System for Agricultural Policy Formulation Related to Land and Water Resources in Borkhar & Meymeh district, Iran. Dissertation, University of Twente, Enschede.

Organization, I. M. 2012. Meteorological Information and Statistic. Tehran.

Iran Statistic Center, P. 2011. Iran Population and Housing Census 2011. Tehran.

Önden, İ., C. G. Şen, and A. Şen. 2012. Integration of Integer Programming with GIS Analyzing Abilities for Determining the Convenience Levels of Retail Stores. Procedia-Social and Behavioral Sciences. 62: 1144–1149.

Downloads

Published

2015-05-25

How to Cite

Identifying the Optimum Locations for Food Industries in Qaemshahr-Iran, Using GIS and Image Processing Techniques. (2015). Jurnal Teknologi, 74(4). https://doi.org/10.11113/jt.v74.4623