Desirability study of green space in Yazd city using multi-criteria decision making model

Subject Areas : Environment

Mohammadreza  Zareh Zardeini ¹ (M.Sc. Student, Department of Natural Resources, Meybod Branch, Islamic Azad University, Meybod, Iran)
Mohammad  Hassanzadeh Nafooti ² (Assistant Professor, Department of Natural Resources, Meybod Branch, Islamic Azad University, Meybod, Iran)

Received: 2022-04-16 Accepted : 2022-10-11 Published : 2023-03-01

Keywords: Analytical Hierarchy Process (AHP), geographical information system, Yazd city, Urban Park and Green Space,

Abstract :

Background and objective: One of the most important tasks of urban managers is to determine suitable places for the construction of urban service uses, among which green spaces and parks have a special role due to their impact on the health and well-being of citizens and their correct locating guarantees their optimal efficiency. The purpose of this study was to analyze the green space and parks of Yazd city and determine a suitable place for their construction.Materials and methods: First, the spatial distribution of existing parks and green spaces were examined, and the initial results indicated that the parks were not properly distributed. Then, to identify suitable areas for the construction of parks based on the opinions of experts and similar research, effective criteria and sub-criteria were determined and their importance to each other was obtained from experts through a questionnaire and their relative value was calculated using the AHP method. Then the map of criteria and sub-criteria was collected and GIS-processed and their relative importance were assigned to the relevant raster layers using GIS overlap capability and fuzzy logic, the layers were combined and constraint areas for park construction were removed from the study with the help of Boolean logic.Results and conclusion:The map of the final area capability was prepared in five categories for the construction of a park and green space in which the value of the pixels indicated their suitability. Finally, Aharestan and Mahmoudabad areas were introduced as a priority for the construction of parks and urban green spaces due to population density, access network, inaccessibility to existing parks, and avoidance of incompatible uses.

References:

Abebe, M. T., & Megento, T. L. (2017). Urban green space development using GIS-based multi-criteria analysis in Addis Ababa metropolis. Applied Geomatics, 9(4), 247-261. https://doi:20.1001.1.20085362.1391.23.1.8.6 

Abedini, M., Pirooz, E., Amini, Z., & Parastar, S. (2021). Optimal location of green space In Ardabil City using the Analytical Network Process model (ANP), and geographic information system. Journal of Urban Ecology Researches, 12(23), 13-32. https://doi.org/ 0.30473/grup.2021.8615

Amanollahpour, A., Nazm Far, H., Lotfi, R. (2019). Optimal location of urban green space using GIS and ANP method (Case study: Ardabil city). Journal of Geography and Urban Space Development, 6(1), 127-146. https://doi:10.22067/gusd.v6i1.60650 

Armanshahr Consulting Engineers. (2017). Detailed plan of Yazd city. Yazd Municipality.

Arseh Consulting Engineers. (2007). Yazd City Master Plan. Yazd Municipality.

Gelan, E. (2021). GIS-based multi-criteria analysis for sustainable urban green spaces planning in emerging towns of Ethiopia: the case of Sululta town. Environmental Systems Research, 10(1), 1-14. https://doi.org/10.1186/s40068-021-00220-w

Ghafari, S., Kaviani, B., Sedaghathoor, S., & Allahyari, M. S. (2020). Ecological potentials of trees, shrubs and hedge species for urban green spaces by multi criteria decision making. Urban Forestry & Urban Greening, 55, 126824. https://doi.org/10.1016/j.ufug.2020.126824

Ghane Ezabadi, N., Azhdar, S., & Jamali, A. A. (2021). Analysis of dust changes using satellite images in Giovanni NASA and Sentinel in Google Earth Engine in western Iran. Journal of Nature and Spatial Sciences (JONASS), 1(1), 17-26. https://doi.org/10.30495/jonass.2021.680327 

Hailemariam, B. A. (2021). Suitable site selection for urban green space development using geographic information system and remote sensing based on multi criterion analysis. International Journal of Human Capital in Urban Management, 6(1), 97-110. https://doi.org/110.22034/ijhcum.2021.01.08    

He, S., Wang, D., Li, Y., Zhao, P., Lan, H., Chen, W., ... & Chen, X. (2021). Social-ecological system resilience of debris flow alluvial fans in the Awang basin, China. Journal of Environmental Management, 286, 112230. https://doi.org/10.1016/j.jenvman.2021.112230

Jamali, A.A., Mokhtari Sabet, S. (2018). Optimal location of urban green space using geographic information system and FAHP method (case study of Shahrekord city). The third national conference on the use of advanced models of spatial analysis (Remote Sensing and GIS) in Land use planning. Yazd.

Management and Planning Organization of Yazd Province. (2021). Statistical Yearbook of Yazd Province in 2019.

Marhemati, A., Dashti, S., & Morshedi, J. (2021). Site Selection of Indoor Urban Green Space in 6th Zone Ahvaz Metropolitan Area Using Multi-Criteria Evaluation Method in GIS. Geography (Regional Planning), 11(1), 473-484. 20.1001.1.22286462.1399.11.1.29.3

Masoumi, H., Jamali, A. A., & Khabazi, M. (2014). Investigation of role of slope, aspect and geological formations of landslide occurrence using statistical methods and GIS in some watersheds in Chahar Mahal and Bakhtiari Province. J. Appl. Environ. Biol. Sci, 4(9), 121-129.

Mohammadi, J., Pourghayumi, H., Ghanbari, M. (2012). Combining Index Overlap Model (IO) and Hierarchical Analysis (AHP) in Locating Educational Centers (Case Study: Kazeroun Middle Schools). Journal of Geography and Environmental Planning, 23(1), 113-128. https://doi: 20.1001.1.20085362.1391.23.1.8.6

Mousavi, M. N., Rashidi Ebrahim Hesari, A., Roshan Roudi, Samia. (2012). Optimal positioning of urban green spaces: the case study of Benab city, Geography and Environmental Studies, 1(3), 1-14.

Phillips, A., Canters, F., & Khan, A. Z. (2022). Analyzing spatial inequalities in use and experience of urban green spaces. Urban Forestry & Urban Greening, 74, 127674.  https://doi.org/10.1016/j.ufug.2022.127674 

Ramezani Kiasaj, R., Ismaili Alavijeh, E., Amiri, M. J. (2021). Locating Urban Green Space Using Multi-Criteria Evaluation Methods: Case Study: Tehran District 4, Quarterly Journal of Urban Ecology Research , 11(22), 13-28. https://doi:10.30473/grup.2021.7618 

Saaty, T.L. (1980). The Analytical Hierarchy Process, Planning Priority, Resource Allocation. Rws Publications. USA.

Stessens, P., Canters, F., Huysmans, M., & Khan, A. Z. (2020). Urban green space qualities: An integrated approach towards GIS-based assessment reflecting user perception. Land use policy, 91, 104319. https://doi.org/10.1016/j.landusepol.2019.104319 

Stoia, L. N., Niţă, M. R., Popa, A. M., & Iojă, I. C. (2022). The green walk–An analysis for evaluating the accessibility of urban green spaces. Urban Forestry & Urban Greening, 127685. https://doi.org/10.1016/j.ufug.2022.127685

Ustaoglu, E., & Aydınoglu, A. C. (2020). Site suitability analysis for green space development of Pendik district (Turkey). Urban Forestry & Urban Greening, 47, 126542. https://doi:10.1016/j.ufug.2019.126542 

Yadegaridehkordi, E., Hourmand, M., Nilashi, M., Alsolami, E., Samad, S., Mahmoud, M. & Shuib, L. (2020). Assessment of sustainability indicators for green building manufacturing using fuzzy multi-criteria decision making approach. Journal of cleaner production, 277, 122905. https://doi.org/10.1016/j.jclepro.2020.122905