Taking Shaanxi Province as an example, this paper uses the entropy-weighted TOPSIS method to evaluate and analyze the urban livability of 10 prefecture-level cities based on the “Five-in-One” general layout, and uses the principal component analysis method to study the key driving forces for improving the livability of cities in the region. The results show that Xi’an City has high livability and is quite different from other cities, but on the whole, there is still much room for improvement in the livability of each city. The livability of Shangluo, Ankang and Tongchuan cities has always been at a low level. The driving forces for improving urban livability in Shaanxi Province vary in different periods. From 2011 to 2015, key driving components are political, economic and social, and the key driving factors are public service level, economic development level, grassroots political service level, resource supply level, and industrial structure optimization level. From 2016 to 2020, the key driving components have changed to economic, cultural, social and ecological civilization, and the key driving factors are communication and cultural exchange environment, public service level, soil erosion control level, common prosperity level, sewage treatment efficiency, and opening-up level. The driving factor of public service level plays an important role in the improvement of urban livability in both periods.

以陕西省为例, 基于“五位一体”总体布局, 使用熵权TOPSIS法对10个地级市的城市宜居性进行评价与分析, 并运用主成分析法对区域内城市宜居性提升的关键驱动力进行研究。结果表明, 陕西省西安市的城市宜居性较高, 且与其他城市存在较大的差异, 但总体上各城市宜居性仍有较大的提升空间; 商洛、安康和铜川的城市宜居性一直处于较低水平。陕西省城市宜居性提升的驱动力在不 同时段存在一定的差异 。2011—2015年的关键驱动力为政治、经济和社会因素, 关键驱动因子为公共服务水平、经济发展水平、基层政治服务水平、资源供给水平和产业结构优化水平。2016—2020年的关键驱动力转变为经济、文化、社会和生态文明因素, 关键驱动因子为通信文化交流环境、公共服务水平、水土流失治理水平、共同富裕水平、污水治理效率和对外开放水平。公共服务水平驱动因子在两个不同的时期对城市宜居性的提升均发挥着重要的促进作用。