首页> 外文期刊>Journal of Urban Planning and Development >Causes of Spatial Patterns of Livability in Chinese Cities: MGWRL Analysis Based on Didi's Big Data
【24h】

Causes of Spatial Patterns of Livability in Chinese Cities: MGWRL Analysis Based on Didi's Big Data

机译:中国城市居民空间模式的原因:基于DIDI大数据的MGWRL分析

获取原文
获取原文并翻译 | 示例
           

摘要

Continuous expansion results in urban problems such as congestion, pollution, and crime that seriously threaten the sustainable development of Chinese cities. How to promote the development of efficient and livable cities in China is of great significance in easing the pressure of urban development and promoting healthy urban development. Based on Didi's "urban development index," this study explores the spatial distribution and spatial driving factors of urban livability in China through Theil index decomposition, standard deviation ellipse analysis, global and local spatial autocorrelation analysis, and multiscale geographically weighted regression with lagged dependent variables (MGWRL) model analysis. The results reveal the following three points. First, China's urban livability presents a spatial pattern of "east-west-middle" decreasing, with large spatial distribution differences and significant spatial dependence. Second, the effects of urban livability influencing factors have spatial scale differences. The impact of global variables such as human capital, fixed assets investment, medical level, and greening degree on urban livability is consistent at the global level. Local variables such as finance, urbanization, advanced industrial structure, and foreign trade only have consistent impacts on urban livability in local regions, and the scope of these regions varies with different variables. Third, it is further found that the effects of some local variables on urban livability have spatial heterogeneity. The effects of finance on urban livability shows a decreasing trend from east to west and from north to south in space; the effects of advanced industrial structure on urban livability are spatially characterized by outward radiation attenuation along the Yellow River and the middle reaches of the Yangtze River; only less than one-third of the local regression coefficients of variables such as spatial lag, urbanization, and foreign trade passed the significance test. Relevant government departments should pay full attention to the spatial pattern and spatial dependence of urban livability in China, and make overall planning and improvement strategies; attention should be paid to the spatial scale difference and the spatial heterogeneity of influencing factors in policy formulation, and the differentiated development policy of livable cities should be put forward according to local conditions.
机译:持续扩张导致城市问题,如拥堵,污染和犯罪,严重威胁中国城市的可持续发展。如何促进中国有效和宜居城市的发展在宽松城市发展压力和促进健康城市发展方面具有重要意义。基于DIDI的“城市发展指数”,本研究探讨了中国城市居住地的空间分布和空间驾驶因素,通过指数分解,标准偏差椭圆分析,全局和局部空间自相关分析,以及具有滞后变量的多尺度地理加权回归(MGWRL)模型分析。结果揭示了以下三点。首先,中国的城市居民呈现出“东西中”减少的空间模式,具有大的空间分布差异和显着的空间依赖性。其次,城市宜兴影响因素的影响具有空间尺度差异。全球变量如人力资本,固定资产投资,医学水平和城市居民的绿化程度的影响在全球层面一致。局部变量,如金融,城市化,先进的工业结构和对外贸易的影响对于在当地地区的城市居住性方面只对城市居住能力一致,而这些地区的范围因不同的变量而变化。第三,进一步发现,一些局部变量对城市居民的影响具有空间异质性。金融对城市居民的影响表明,从东到西部,从南到南方的朝向北到南方的趋势下降;先进的产业结构对城市居住能力的影响在空间上以黄河和长江中游的辐射衰减为特征;只有不到三分之一的当地回归系数的变量,如空间滞后,城市化和对外贸易通过了重要性测试。相关政府部门应全面关注中国城市居民的空间模式和空间依赖,并制定整体规划和改善策略;应注意策略制定中影响因素的空间差异和空间异质性,应当根据当地条件提出宜居城市的差异化发展政策。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号