基于遥感影像的嘉兴市城市扩张与驱动力分析

doi:10.3785/j.issn.1008-9497.2016.06.016

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摘要在当前高速城市化的背景下，为及时了解嘉兴市的城市发展现状，使用遥感手段提取各时间段内城市的建设区域，并分析了扩张过程的时空特征，再结合社会经济数据探究了城市扩张的驱动力因素.结果表明：嘉兴市在1993~2013年间城市扩张明显，扩张速度和强度先增后减，扩张方向由西北转向南，扩张模式经历了“主动型-被动型-稳定型”的转变过程，扩张合理性较差，城市扩张速率高于人口增长速率，扩张驱动因子主要为经济发展、产业结构调整和人口增长.

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	陈可欣
	张丰
	杜震洪
	刘仁义

关键词 ：遥感影像, 城市扩张, 时空分析, 驱动分析

Abstract：China is going through rapid urbanization. To understand the urban development status of Jiaxing, this paper made research on built-up areas extracted from remote sensing images, and took means of geographic information science and mathematical statistics to analyze the spatio-temporal characteristics of expansion process, as well as explored the driving factors based on the social and economic data. The research shows that the built-up areas in Jiaxing kept expanding from 1993 to 2013, with the rate and intensity changing from increasing to decreasing. The direction moved from the northwest to the south, and the expansion mode transformed from active to passive and then to stable. Urban construction is inconsistent with population. Driving factors of expansion are concluded as economic development, industrial restructuring and population growth.

Key words： remote sensing image urban expansion spatio-temporal analysis driving force analysis

收稿日期: 2016-05-13

ZTFLH:

P208

基金资助:国家自然科学基金资助项目(41471313)；国家科技基础性工作专项(2012FY112300)；海洋公益性行业科研专项经费资助项目(201505003，201305012)；浙江省科技攻关计划项目(2015C33021).

通讯作者: 张丰,ORCID:http://orcid:org/0000-0003-1475-8480,E-mail:zfcarnation@zju.edu.cn E-mail: zfcarnation@zju.edu.cn

作者简介: 陈可欣(1991-),ORCID:http://orcid.org/0000-0001-6849-6063,女,硕士,主要从事GIS土地理论与遥感应用研究.

引用本文:

陈可欣, 张丰, 杜震洪, 刘仁义. 基于遥感影像的嘉兴市城市扩张与驱动力分析[J]. 浙江大学学报（理学版）, 2016, 43(6): 709-715.
CHEN Kexin, ZHANG Feng, DU Zhenhong, LIU Renyi. Analysis of urban expansion and driving forces in Jiaxing city based on remote sensing image. Journal of ZheJIang University(Science Edition), 2016, 43(6): 709-715.

链接本文:

http://www.zjujournals.com/sci/CN/10.3785/j.issn.1008-9497.2016.06.016 或 http://www.zjujournals.com/sci/CN/Y2016/V43/I6/709

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