山东半岛城市群建设用地结构的时空特征及变化机理研究
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摘要
使用洛伦茨曲线和偏移份额法对山东半岛城市群2006年~2015年城市用地结构的时空差异及变化机理进行分析。结果表明:(1)整体上山东半岛城市群五类功能性用地呈扩张趋势,且分布相对均匀,同时存在结构性差异。研究期内,居住用地分布最均衡且稳定,工业用地次之,公共设施用地和道路与交通设施用地分布相对集中,但向均衡分布发展,绿地分布由集中向均衡发展。从区域来看,鲁西北分布最均衡,鲁中南次之,鲁东区域相对较为集中;(2)居住用地、公共设施用地、道路与交通设施用地和绿地为增长性结构,工业用地为衰退性结构;空间分布上看,青岛、济宁、莱芜、德州、聊城和滨州市建设用地扩张迅速,且青岛市和济宁市竞争力较强,济南市较弱。泰安和菏泽市建设用地呈减少趋势。其余地市补给挤出效应互有强弱,其中潍坊市竞争力较弱;(3)城市建设用地结构的变化受经济、人口、产业、城镇居民生活水平和政策等因素的影响。
The paper made an research on temporal and spatial features and change mechanism of urban land structure across Shandong peninsula urban agglomerations from 2006 to 2015 by adopting the method of Lorenz Curves and Shift-share Model. The result showed that:(1)Overall, The five types of functional sites agglomerations were expanding and the distribution was relatively uniform in Shandong peninsula urban, and there were structural differences.During the 2006-2015, residential land was the most balanced land and its trend was stable, followed by land for public facilities, industrial land and land for road and transport facilities with a trend of balanced distribution,green land distribution from centralized to balanced development. From the regional point of view, the distribution of the most balanced in the northwest of Shandong, followed by central and southern Shandong, east of Shandong is relatively more concentrated.(2)The growing categories include residential land, land for public facilities, land for road and transport facilities and green land belong to a structure of growth, the industrial land belong to a structure of decline; From the spatial distribution,the Qingdao, Jining, Laiwu, Dezhou, Liaocheng and Binzhou's construction land was expanding rapidly,the Qingdao and Jining had a strong competitiveness from while the Jinan was weak. Taian and Heze construction land showed a decreasing trend. The effect of the supply of the rest of the city had the difference between the strong and the weak of which Weifang competitiveness was weak;(3)Urban Construction Land Structure were affected by economic, population, urban residents' living standards and policy factors.
The paper made an research on temporal and spatial features and change mechanism of urban land structure across Shandong peninsula urban agglomerations from 2006 to 2015 by adopting the method of Lorenz Curves and Shift-share Model. The result showed that:(1)Overall, The five types of functional sites agglomerations were expanding and the distribution was relatively uniform in Shandong peninsula urban, and there were structural differences.During the 2006-2015, residential land was the most balanced land and its trend was stable, followed by land for public facilities, industrial land and land for road and transport facilities with a trend of balanced distribution,green land distribution from centralized to balanced development. From the regional point of view, the distribution of the most balanced in the northwest of Shandong, followed by central and southern Shandong, east of Shandong is relatively more concentrated.(2)The growing categories include residential land, land for public facilities, land for road and transport facilities and green land belong to a structure of growth, the industrial land belong to a structure of decline; From the spatial distribution,the Qingdao, Jining, Laiwu, Dezhou, Liaocheng and Binzhou's construction land was expanding rapidly,the Qingdao and Jining had a strong competitiveness from while the Jinan was weak. Taian and Heze construction land showed a decreasing trend. The effect of the supply of the rest of the city had the difference between the strong and the weak of which Weifang competitiveness was weak;(3)Urban Construction Land Structure were affected by economic, population, urban residents' living standards and policy factors.
引文
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[11]刘静玉,刘玉振,邵宁宁,等.河南省新型城镇化的空间格局演变研究[J].地域研究与开发,2012,31(5):143-147.
[12]张雪茹,尹志强,姚亦锋,等.安徽省城市建设用地变化及驱动力分析[J].长江流域资源与环境,2016,25(4):544-551.
[13]高啸峰,刘慧平,张洋华,等.1990年~2010年长三角城市群城市扩展时空规律分析[J].北京师范大学学报:自然科学版,2016,52(5):645-650.
[14]林雄斌,马学广,李贵才.珠三角城市群土地集约利用评价及时空特征分析[J].中国人口·资源与环境,2013,23(11):134-137.
[15]山东省城镇化工作领导小组办公室.山东省新型城镇化规划(2014-2020年)[R].2014.
[16]张祖陆.山东地理[M].北京:北京师范大学出版社,2014.
[17]卢新海,李周密.基于信息熵和基尼系数的城市土地结构合理性分析——以湖北省为例[J].资源开发与市场,2015,(6):662-665+735.
[18]赵小汎.区位熵模型在土地利用变化分析中的新运用[J].经济地理,2013,33(2):162-167.
[19]张恒义,刘卫东,石秋义.基于偏移-份额法的区域建设用地结构变化和空间分布研究[J].中国土地科学,2010,24(11):63-68.
[20]史佳璐,张本丽,郝兆印,等.济南市建设用地集约利用的时空差异研究[J].水土保持研究,2014,21(2):184-188.
[21]曹银贵,周伟,乔陆印,等.青海省2000年~2008年间城镇建设用地变化及驱动力分析[J].干旱区资源与环境,2013,(1):40-46.
[22]杨梅,张广录,侯永平.区域土地利用变化驱动力研究进展与展望[J].地理与地理信息科学,2011,27(1):95-100.
[23]张金前,韦素琼.快速城市化过程中城市用地扩展驱动力研究[J].福建师范大学学报:自然科学版,2006,22(4):14-18.
[24]曹银贵,袁春,周伟,等.中国耕地变化的驱动因子及其省域差异分析[J].中国土地科学,2008,22(2):17-22.
[25]郗凤明,贺红士,胡远满,等.辽宁中部城市群城市增长时空格局及其驱动力[J].应用生态学报,2010,21(3):707-713.
[26]宋金平,赵西君,王倩.北京市丰台区土地利用变化及社会经济驱动力分析[J].中国人口·资源与环境,2008,18(2):171-175.
[27]韩会然,杨成凤,宋金平.北京市土地利用变化特征及驱动机制[J].经济地理,2015,35(5):148-154.
[28]史培军,陈晋,潘耀忠.深圳市土地利用变化机制分析[J].地理学报,2000,55(2):151-160.
[29]李在军,管卫华,臧磊,等.江苏省产业结构的空间格局演变及其动力机制分析[J].经济地理,2013,33(8):79-85.
[2]焦利民,唐欣,刘小平.城市群视角下空间联系与城市扩张的关联分析[J].地理科学进展,2016,35(10):1177-1185.
[3]牛文学,袁潨鍪,张丹松.当前我国新型城镇化研究现状分析[J].西北人口,2016,37(6):47-54.
[4]Firman T.Major issues in Indonesia's urban land development[J].Land Use Policy,2004,21(4):347-355.
[5]Ding C R,Zhao X S.Land market,land development and urban spatial structure in Beijing[J].Land Use Policy,2014,40(9):83-90.
[6]陈彦光,刘明华.城市土地利用结构的熵值定律[J].人文地理,2001,16(4):20-24.
[7]谢汀,伍文,高雪松,邓良基,等.基于信息熵与偏移-份额模型的建设用地结构变化分析——以成都市为例[J].资源科学,2014,36(4):722-730.
[8]李晨曦,吴克宁,査理思.京津冀地区土地利用变化特征及其驱动力分析[J].中国人口资源与环境,2016(S1):252-255.
[9]匡兵,卢新海,周敏,等.武汉城市群城市用地结构时空演变特征及其机理[J].经济地理,2016,36(5):71-78.
[10]杨婷,罗红霞,刘光鹏,等.基于空间洛伦茨曲线的县域土地利用结构分析[J].湖北农业科学,2016,55(7):1691-1696.
[11]刘静玉,刘玉振,邵宁宁,等.河南省新型城镇化的空间格局演变研究[J].地域研究与开发,2012,31(5):143-147.
[12]张雪茹,尹志强,姚亦锋,等.安徽省城市建设用地变化及驱动力分析[J].长江流域资源与环境,2016,25(4):544-551.
[13]高啸峰,刘慧平,张洋华,等.1990年~2010年长三角城市群城市扩展时空规律分析[J].北京师范大学学报:自然科学版,2016,52(5):645-650.
[14]林雄斌,马学广,李贵才.珠三角城市群土地集约利用评价及时空特征分析[J].中国人口·资源与环境,2013,23(11):134-137.
[15]山东省城镇化工作领导小组办公室.山东省新型城镇化规划(2014-2020年)[R].2014.
[16]张祖陆.山东地理[M].北京:北京师范大学出版社,2014.
[17]卢新海,李周密.基于信息熵和基尼系数的城市土地结构合理性分析——以湖北省为例[J].资源开发与市场,2015,(6):662-665+735.
[18]赵小汎.区位熵模型在土地利用变化分析中的新运用[J].经济地理,2013,33(2):162-167.
[19]张恒义,刘卫东,石秋义.基于偏移-份额法的区域建设用地结构变化和空间分布研究[J].中国土地科学,2010,24(11):63-68.
[20]史佳璐,张本丽,郝兆印,等.济南市建设用地集约利用的时空差异研究[J].水土保持研究,2014,21(2):184-188.
[21]曹银贵,周伟,乔陆印,等.青海省2000年~2008年间城镇建设用地变化及驱动力分析[J].干旱区资源与环境,2013,(1):40-46.
[22]杨梅,张广录,侯永平.区域土地利用变化驱动力研究进展与展望[J].地理与地理信息科学,2011,27(1):95-100.
[23]张金前,韦素琼.快速城市化过程中城市用地扩展驱动力研究[J].福建师范大学学报:自然科学版,2006,22(4):14-18.
[24]曹银贵,袁春,周伟,等.中国耕地变化的驱动因子及其省域差异分析[J].中国土地科学,2008,22(2):17-22.
[25]郗凤明,贺红士,胡远满,等.辽宁中部城市群城市增长时空格局及其驱动力[J].应用生态学报,2010,21(3):707-713.
[26]宋金平,赵西君,王倩.北京市丰台区土地利用变化及社会经济驱动力分析[J].中国人口·资源与环境,2008,18(2):171-175.
[27]韩会然,杨成凤,宋金平.北京市土地利用变化特征及驱动机制[J].经济地理,2015,35(5):148-154.
[28]史培军,陈晋,潘耀忠.深圳市土地利用变化机制分析[J].地理学报,2000,55(2):151-160.
[29]李在军,管卫华,臧磊,等.江苏省产业结构的空间格局演变及其动力机制分析[J].经济地理,2013,33(8):79-85.