Abstract The present descriptive-analytical study employs a survey research method, documentary technique, and applied-developmental research design to zone the 18 neighborhoods of Sabzevar City in terms of urban poverty indicators. Data collection was done through a questionnaire distributed among a sample with the size of 384 participants selected from for citizens of 18 neighborhoods of Sabzevar City. A total of 17 urban poverty indicators were surveyed in the form of three sociocultural, economic, and access to urban services indicators. For data analysis, the analytic network process (ANP), Grey Relational Analysis (GRA), and spatial statistics tests were used. The results of the integration of the three economic, sociocultural, and access to urban services indicators depict that the highest urban poverty is in neighborhoods 17 and 18, 6, 14, 15, 13, 12, 11, and 9 respectively. All these neighborhoods are among the marginal neighborhoods of the city. The lowest urban poverty levels are in neighborhoods 1, 2, 3, 4, 5 and partly in neighborhoods 13, 14 and 16, which are part of the city's central neighborhoods, mostly including government employees, the salaried, and those with high-paying jobs. Comparing different types of urban textures via the Integrated Zoning Map of Poverty in Sabzevar City shows that urban poverty zones correspond to the areas of unofficial settlements and extension villages, and the economic poverty in the southern regions of the city is higher than other urban areas. According to the principles of Grey Relational Analysis (GRA), neighborhoods 1 and 2, which includes Southern Kashifi St., Northern Asrar St., and Imam Khomeini Blvd., is considered to be at a higher level than other areas in terms of poor urban poverty. The results of spatial statistics tests (spatial autocorrelation test and G-test) indicate the correlation and clustering of the data model or urban poverty indicators of the study area.

中文翻译：

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城市地区贫困的分区和空间分析（案例研究：Sabzevar City-Iran）

摘要 本描述性分析研究采用调查研究方法、文献技术和应用发展研究设计，根据城市贫困指标对 Sabzevar 市 18 个街区进行分区。数据收集是通过在 Sabzevar 市 18 个街区的公民中选出的 384 名参与者的样本中分发的问卷来完成的。以社会文化、经济和城市服务可及性三个指标的形式，共调查了17个城市贫困指标。对于数据分析，使用了分析网络过程 (ANP)、灰色关联分析 (GRA) 和空间统计检验。三个经济、社会文化和城市服务可及性指标的综合结果表明，城市贫困率最高的是 17 和 18、6、14、分别为 15、13、12、11 和 9。所有这些街区都属于城市的边缘街区。城市贫困水平最低的是1、2、3、4、5街区，部分在13、14和16街区，属于城市中心街区的一部分，主要包括政府雇员、工薪阶层和高收入人群。职位。通过萨布泽瓦尔市贫困综合区划图比较不同类型的城市肌理，城市贫困区对应非官方聚居区和延伸村的区域，城市南部地区的经济贫困率高于其他城市地区。根据灰色关系分析 (GRA) 的原则，社区 1 和 2，包括南 Kashifi 街、北 Asrar 街和伊玛目霍梅尼大道，被认为在城市贫困方面高于其他地区。空间统计检验（空间自相关检验和 G 检验）的结果表明研究区的数据模型或城市贫困指标的相关性和聚类。