中文摘要：

本文运用FGT指数法和AF多维贫困测度法对西安市主城区收入贫困和典型贫困区多维贫困特征进行研究。主要结论：（1）主城区收入贫困空间与城市发展相对较晚的地区、城乡交错的边缘区、内城衰退区、城中村及老工业区耦合;（2）住房维度的贫困发生率最高,其次依次为暖气、电器资产、教育、职业、给排水、卫生设施维度;教育指数对多维贫困的贡献度最大,是主要的致贫因素;（3）老城衰退区（解放门）和外来人口聚集区城中村（鱼化寨）是多维贫困最严重的地区,退化的国企老工业区（纺织城）相对较轻。经济发展历史格局、城市发展政策导向、转型期社会制度变迁等是贫困形成的主要原因。

英文摘要：

The domestic research on poverty is often based on economic indicators in China. In this paper,adopting methods of FGT index and AF measurement, regarding Street Office as research unit, the authors do research respectively on income poverty of main city and multidimensional poverty of typical poor areas based on income data in Xi’an. Seven dimensions include education, employment, housing and so on. And then analyze the characteristics and causes. The main conclusions are follows：（1） For income levels, comprehensive analysis of the hardware and software conditions, such as history of urban development, reform, welfare policy, residents willingness and so on, revenue in space shows the overall characteristics of ＂Southern and Western High, Northern and Eastern Low＂ and ＂ Staggered in central city＂.（2） The extension of poverty shows the overall characteristic of decreasing from the northeast to the southwest; The depth of poverty shows the spatial characteristics of interphase high and low from north to south; The intensity of poverty is overall smaller. High levels of poverty are mainly concentrated in the northern regions, urban-rural fringe, inner recession areas and old industrial zone.（3） For the multidimensional poverty, with the increase of the dimension, the poverty incidence and Multidimensional Poverty Index decreases gradually, and poverty deprivation share increases.（4） For the typical poor area, the most serious areas of multidimensional poverty are Old Town Recession Zone（Street Office Jiefangmen） and Floating Population Villages（Street Office Yuhuazhai）,which are followed by the Ruins of Protected Areas（Street Office Liucunpu）, and the degradation of the old state-owned industrial area（Street Office Fangzhicheng）is relatively the lightest region.