Analysis of spatial distribution of Tehran Metropolis urban services using models of urban planning

International Journal of Human Capital in Urban Management

卷:1

R. Shirzadian¹  A. Lorestani¹  Z. Yaghoubpour² 

[1] Department of Coordination and Districts Affairs, District 18, Municipality of Tehran, Tehran, Iran;

[2] Department of Environmental Science, Graduate School of the Environment and Energy, Science and Research Branch, Islamic Azad University, Tehran, Iran;

关键词: Human development index (HDI);    Public services;    Rankings;    Spatial distribution;    Tehran;    Urban districts;   

DOI  :  10.22034/ijhcum.2016.01.02.002

来源: DOAJ

【 摘 要 】

The process of spatial distribution of urban services in order to provide equitable access to opportunities and reduced regional disparities, and earning the highest citizen satisfaction are among the main challenges facing urban management. This requires knowledge of the current status of spatial distribution of public services in the city, followed by optimal resource allocation under varying circumstances. This analytical-comparative study aimed to investigate the spatial distribution of urban public services, and rank different districts of Tehran in terms of benefiting from public services. To achieve this goal, quantitative models of planning, including factor analysis, composite Human Development Index, taxonomical model and standardization method were used. For the final ranking of districts of Tehran, the sum of numerical value of each district was calculated in four ways. Based on this method, districts 1, 3, 22, 12 and 6 were ranked first to fifth, and districts 13, 10, 8, 17 and 14 were ranked last, respectively. Using cluster analysis model, different districts of Tehran metropolis were clustered on the basis of numerical value of districts in the models used. Based on above-mentioned results, districts 1, 3, 12, 22, 6 and 21, with a final score of 66 and above, included in the first cluster and identified as over-developed districts; and districts 14, 10, 8 and 17, with a final score of 13 or less, included in the fifth cluster and identified as disadvantaged districts.

【 授权许可】

Unknown