地理研究 ›› 2014, Vol. 33 ›› Issue (4): 687-697.doi: 10.11821/dlyj201404009

• 论文 • 上一篇    下一篇

城市人居环境的失配度——以辽宁省14 个市为例

李雪铭1,2, 田深圳1, 杨俊1, 张峰1, 孔凡强1   

  1. 1. 辽宁师范大学城市与环境学院, 大连 116029;
    2. 辽宁师范大学海洋经济与可持续发展研究中心, 大连 116029
  • 收稿日期:2013-09-12 修回日期:2014-01-05 出版日期:2014-04-10 发布日期:2014-04-10
  • 作者简介:李雪铭(1964-),男,江苏常熟人,教授,博士生导师,主要研究方向为城市人居环境。E-mail:lixueming999@163.com
  • 基金资助:
    国家自然科学基金项目(41171137);教育部博士点基金项目(20132136110001);辽宁省优秀人才支持计划(901214)

The preliminary study of mismatch degree of urban human settlements:Taking 14 cities in Liaoning Province as cases

LI Xueming1,2, TIAN Shenzhen1, YANG Jun1, ZHANG Feng1, KONG Fanqiang1   

  1. 1. School of Urban and Environmental Sciences, Liaoning Normal University, Dalian 116029, Liaoning, China;
    2. Centre for Marine Economy and Sustainable Development Research, Liaoning Normal University, Dalian 116029, Liaoning, China
  • Received:2013-09-12 Revised:2014-01-05 Online:2014-04-10 Published:2014-04-10

摘要: 提出并运用城市人居环境失配度,将生态学的健康距离模型引入到城市人居环境科学,实证研究2005-2011 年辽宁省14 个市城市人居环境失配度的时空演变趋势、五大系统之间的失配关系以及造成失配的内部作用机理。结果表明:① 时空特征,时间上呈现出上升趋势且具有明显的阶段性和极值分布性特征;空间上呈现出区域差异性和“中部凸起,两翼凹陷”的方向性递减趋势;演变态势上具有较为特殊的非均衡变动性特征。② 五大系统失配关系分析,无论是单一系统本身还是多系统之间综合健康距离的变化都能作用于城市人居环境失配度,导致其数值增减,进而反映出城市人居环境的优劣变化。③ 人居环境失配度作用机理分析,政府宏观调控、经济发展方式以及城市基础设施的同步性和匹配性是城市人居环境失配度变化的内部驱动机理。

关键词: 人居环境失配度, 健康距离模型, 系统失配, 作用机理, 辽宁省

Abstract: In this paper, health distance model in ecology is introduced into the studies of urban human settlements, and based on this, mismatch degree of urban human settlements is proposed and applied in the research of urban human settlements. Studies on space-time evolution trend, mismatch among the five systems and the internal mechanism that causes the mismatch of urban human settlements are conducted on 14 cities in Liaoning Province. The results are shown as follows. 1) Characteristics of spatial and temporal distribution. In terms of time, there is a rising trend and this trend presents an obvious periodic and extreme value distribution; in terms of space, there is regional difference and directional downward trend which could be summarized as "bulge in the centre, and hollow at two sides"; the evolution trend has a specific unbalanced variability. 2) Analysis of the mismatch among the five systems. Both health distance changes of single system and those among several systems can affect the mismatch degree of urban human settlements and consequently generate numerical increases or decreases in mismatch degree, which can reflect the advantages or disadvantages of human settlement variations. 3) Analysis of internal mechanism of mismatch degree. It is found that government macro-control, pattern of economic development, as well as the synchronization and matching of urban infrastructure are internal factors influencing the changing of mismatch degree of urban human settlements.

Key words: mismatch degree of urban human settlements, health distance model, system mismatch, mechanism of action, Liaoning province