资源科学 ›› 2018, Vol. 40 ›› Issue (6): 1175-1185.doi: 10.18402/resci.2018.06.08

• • 上一篇    下一篇

湘鄂赣三省多级城镇用地扩张时空特征

童陆亿1,2(), 胡守庚1,2()   

  1. 1. 中国地质大学(武汉)公共管理学院,武汉 430074
    2. 国土资源部法律评价工程重点实验室,武汉 430074
  • 收稿日期:2017-11-01 修回日期:2018-02-24 出版日期:2018-06-25 发布日期:2018-06-22
  • 作者简介:

    作者简介:童陆亿,男,湖北宜昌人,博士生,主要从事城市土地利用转型研究。E-mail: lytongc@gmail.com

  • 基金资助:
    国土资源部公益性行业科研专项基金(201511004)

Multi-level urban land expansion characterization using spatiotemporal statistics for Hunan, Hubei and Jiangxi

Luyi TONG1,2(), Shougeng HU1,2()   

  1. 1. School of Public Administration, China University of Geosciences (CUG), Wuhan 430074, China
    2. The Key Laboratory of the Ministry of Land and Resources for Legal Evaluation Engineering, Wuhan 430074, China
  • Received:2017-11-01 Revised:2018-02-24 Online:2018-06-25 Published:2018-06-22

摘要:

构建了基于自由度、蔓延度和感观优劣度等时空统计分析模型的区域多级城镇用地扩张特征度量方法体系,分析了1990—2015年期间湖南、湖北和江西(湘鄂赣)三省327个县(市)全域、省域、城市群和地级市级别下的城镇用地扩张特征及其分异规律与模式。结果显示:①湘鄂赣三省多级城镇用地扩张时空特征存在分异性,且其主要源自特定级别下城镇用地扩张的空间异质性,以及特定区域不同级别度量结果的变异性;②区域多级城镇用地扩张分异特征能反映各县(市)在区域城镇建设用地扩张中所扮演的角色,本文识别出了湘鄂赣三省有序增长、持续蔓延、复合增长和复合蔓延等主要的镇用地扩张模式;③城市群和丘陵平原区,无序蔓延和复合蔓延模式表现较为明显;有序增长和复合增长模式在非城市群和山区城镇用地扩张中占主导地位。积极开展区域多级城镇用地扩张度量及其分异规律与模式分析,将助力多级、“差别化”城镇用地扩张管控和城市可持续发展战略研究。

关键词: 城镇用地扩张, 时空统计模型, 扩张模式, 时空特征, 湘鄂赣

Abstract:

This study provided a framework for multi-level urban land expansion characterization through spatiotemporal statistics based on degree-of-freedom, degree-of-sprawl, and degree-of-goodness. This framework was used to estimate and analyze variable characteristics and patterns of urban land expansion from 1990-2015 in 327 counties that are administrated by Hubei, Hunan and Jiangxi provinces in central China at different levels. In addition, four different levels (overall, provincial, metropolitan and city) were examined. Results indicated that the variable characteristics of urban land expansion observed in counties administrated by Hubei, Hunan, and Jiangxi provinces at different levels were seriously generated during the period 1995-2015. In addition, varying spatiotemporal urban land expansion was, on one hand, derived by spatially heterogeneous urban land expansion among counties and on the other hand, shaped by variable outcomes of experiments estimating urban land expansion by the proposal framework in each county when characterizing the expansion at different levels. It was noteworthy that these varied sprawl characteristics might provide us with indicators for the status of counties gained among urban land expansion in large-scale regions; and with which, major urban land expansion patterns, mainly including controlled growth, floating growth, disorderly sprawl, and evolving sprawl, were identified in the study. More importantly, counties located in metropolitan and plain areas, compared to those from non-metropolitan and mountainous areas, generally witnessed dominated disorderly sprawl and evolving sprawl. Controlled growth and floating sprawl were dominate patterns in non-metropolitan, mountainous and hilly districts. Initiatives for promoting research on multi-level urban expansion estimation, variable characteristics, patterns and their inherent causative factors are of great importance for multi-level and special urban land expansion management and sustainable urban development strategies.

Key words: urban land expansion, spatiotemporal statistics, multi-level analyses, spatiotemporal characteristics, Hunan Province, Hubei Province, Jiangxi Province