Assessment and Optimization for Urban Planning Projects

https://doi.org/10.24237/djes.2018.11104

Authors

  • Walid Mustafa Khamas Department of Cities Planning Engineering, Technical College, Technical Sulaymaniyah University, Iraq
  • Hafeth I. Naji Department of Civil Engineering, Engineering College, University of Diyala, Iraq
  • Aya A. Hasan Department of Civil Engineering, Engineering College, University of Diyala, Iraq

Keywords:

Urban planning, Fuzzy TOPSIS, Master plan of cities

Abstract

After increasing the wheel of progress obviously in recent years in all areas, especially in urban planning projects. This led to the increasing need for a scientific and developing method to organize data processing by choosing the optimized master plan for cities. So, the importance of the process of selecting the optimized master plan of economic, environmental and social because of the indirect contact with the people, so the need arises to seek for the best methods that assist in the evaluation and selection of urban planning projects and decision-making by selecting the optimized master plan. One of the methods is the Fuzzy AHP and Fuzzy TOPSIS. This research concentrates on Fuzzy TOPSIS technique which helps to make the best decisions through choosing the optimized master plan for cities. This research aims to evaluate the alternatives to master plan of cities and select the best ones. To achieve the objectives of the research, the data collected from the literature reviews that dealt with themes of urban planning and Fuzzy TOPSIS technique as well as the personal interviews with specialists. The results showed through the data analysis of the sample that the third alternative (Muqdadiyah urban and agricultural center) has received the largest relative importance compared to other alternatives. In the end, a set of conclusions and recommendations were drawn such as the absence of an administrative system capable of evaluating and selecting the optimized master plan with less time and cost. It was found through using the technical research that time and cost of the evaluation and selection obviously significantly were reduced among the alternatives.Corrosion inhibition of low carbon steel, stainless steel types 316 and 304 in hydrochloric acid by potassium iodide was investigated at different temperatures using weight loss and polarization electrochemical techniques.

Downloads

Download data is not yet available.

References

. Mohaghar,A., Fathi , M. R., Zarchi, M. K. and Omidian, A., A combined VIKOR – Fuzzy AHP approach to marketing strategy selection, Business Management and Strategy, 3(1), (2012), 13-27.

. Shukla, R. K., Garg, D. and Agarwal, A. An integrated approach of Fuzzy AHP and Fuzzy TOPSIS in modeling supply chain coordination, Production & Manufacturing Research, 2(1), (2014), 415-437.

. Ouma, Y. O., Opudo, J. and Nyambenya, S. Comparison of Fuzzy AHP and Fuzzy TOPSIS for road pavement maintenance prioritization: Methodological exposition and case study, Advances in Civil Engineering, (2015), 1-17.

. Ertugrul, I. and Karakasoglu, N. Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods, Expert Systems with Applications, 36 (1), (2009), 702–715.

. Masoumi, I., Naraghi, S., Rashidi-nejad, F. and Masoumi, S. Application of fuzzy multi-attribute decision-making to select and to rank the post-mining land-use, Environmental Earth Sciences,72(1) , (2014), 221–231.

. Moradpour, S.,Ebrahimnejad, S., Mehdizadeh ,E. and Mohamadi ,A. Using hybrid fuzzy PROMETHEE II and fuzzy binary goal programming for risk ranking: A case study of highway construction projects, Journal of Optimization in Industrial Engineering, 9, (2011), 47-55.

. Jahanshahloo, G. R., Lotfi, F. H. and Izadikhah, M. An algorithmic method to extend TOPSIS for decision-making problems with interval data, Applied Mathematics and Computation, 175(2), (2006), 1375–1384.

. Ashrafzadeh, M., Mokhatab, F. R. and Mollaverdi, N. I. Application of fuzzy TOPSIS method for selection of warehouse location: A case study. Interdisciplinary, Journal of Contemporary Research Business, 3(9), (2012), 655–671.

. Sun, C.-C. A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods, Expert Systems with Applications, 37(12), (2010), 7745–7754.

. Diamantine, C. and Zanon, B. Planning the urban sustainable development: The case of the plan for the province of Trento, Italy, Environmental Impact Assessment Review , 20(3), (2000), 299-310.

. Rotmansa, J., Asselt, M. v. and Vellinga, P. An integrated planning tool for sustainable cities, Environmental Impact Assessment Review, 20(3), (2000), 265-276.

Pleho, J. and Avdagic , Z. Fuzzy model in urban planning, Proceeding FS'08 Proceedings of the 9th WSEAS International Conference on Fuzzy Systems, Sofia, Bulgaria, (2008), 156-160.

Hernández-Moreno,S. and DeHoyos-Martínez, J. Indicators of urban sustainability in Mexico, Theoretical and Empirical Researches in Urban Management, 7(16), (2010), 46-60.

Central Organization for Statistics and Information Technology, Ministry of Planning, Republic of Iraq.

Published

2018-03-01

How to Cite

[1]
Walid Mustafa Khamas, Hafeth I. Naji, and A. A. Hasan, “Assessment and Optimization for Urban Planning Projects”, DJES, vol. 11, no. 1, pp. 20 –, Mar. 2018.