AN ANALYSIS ON LOCATION FACTORS AFFECTING THE SPATIAL DISTRIBUTION OF SHANGHAI LAND VALUES

杜德斌; 徐建刚

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名

邮箱

手机号码

标题

留言内容

验证码

AN ANALYSIS ON LOCATION FACTORS AFFECTING THE SPATIAL DISTRIBUTION OF SHANGHAI LAND VALUES

Department of Geography, East China Normal University, Shanghai 200062, P. R. China

AN ANALYSIS ON LOCATION FACTORS AFFECTING THE SPATIAL DISTRIBUTION OF SHANGHAI LAND VALUES

Department of Geography, East China Normal University, Shanghai 200062, P. R. China

摘要: With a technique of GIS(Geographical Information System) and a method of multiple linear regression analysis, the spatial distribution of Shanghai land values and its relationship with some location factors are examined in this paper. The database of land values consists of 166 land parcels leased during 1993-1994. The land value map shows that the spatial distribution of Shanghai land values has some distinct spatial features. Firstly, the highest land value areas are located along Nanjing Road, Huaihai Road and the Bund. Secondly, there is no conspicuous peak land value intersection within the CBD(Central Business District). Finally, The land values of Pudong are much lower than those of Puxi. The regression model between Shanghai land values and the selected location factors shows that Nanjing Road is the first important location factor affecting the spatial distribution of the land values, the city center is the second one and Huaihai Road is the third one. The Bund, the regional shopping centers and the transportation nodes have little influence on the land values. This relationship between Shanghai land values and the location factors is determined by the distribution of commercial activities, the characteristics of the CBD and the spatial form of the city.
- Shanghai /
- land values /
- location factors /
- multiple regression analysis /
- GIS
Abstract: With a technique of GIS(Geographical Information System) and a method of multiple linear regression analysis, the spatial distribution of Shanghai land values and its relationship with some location factors are examined in this paper. The database of land values consists of 166 land parcels leased during 1993-1994. The land value map shows that the spatial distribution of Shanghai land values has some distinct spatial features. Firstly, the highest land value areas are located along Nanjing Road, Huaihai Road and the Bund. Secondly, there is no conspicuous peak land value intersection within the CBD(Central Business District). Finally, The land values of Pudong are much lower than those of Puxi. The regression model between Shanghai land values and the selected location factors shows that Nanjing Road is the first important location factor affecting the spatial distribution of the land values, the city center is the second one and Huaihai Road is the third one. The Bund, the regional shopping centers and the transportation nodes have little influence on the land values. This relationship between Shanghai land values and the location factors is determined by the distribution of commercial activities, the characteristics of the CBD and the spatial form of the city.
- Shanghai /
- land values /
- location factors /
- multiple regression analysis /
- GIS

[1]	SUN Guojun, LI Weihong, ZHU Chenggang, CHEN Yaning. Spatial Variability of Soil Carbon to Nitrogen Ratio and Its Driving Factors in Ili River Valley, Xinjiang, Northwest China . Chinese Geographical Science, 2017, 27(4): 529-538. doi: 10.1007/s11769-017-0885-7
[2]	LI Ye, YE Jianhong, CHEN Xiaohong, Mohamed A ABDEL-ATY P E, CEN Min. Transportation Characteristics Change under Rapid Urban Expansion:A Case Study of Shanghai . Chinese Geographical Science, 2010, 20(6): 554-561. doi: 10.1007/s11769-010-0431-3
[3]	SHI Longyu, SHAO Guofan, CUI Shenghui, LI Xuanqi, LIN Tao, YIN Kai, ZHAO Jingzhu. Urban Three-dimensional Expansion and Its Driving Forces——A Case Study of Shanghai, China . Chinese Geographical Science, 2009, 19(4): 391-398. doi: 10.1007/s11769-009-0291-x
[4]	QUAN Bin, M J M RÖMKENS, TAO Jianjun, LI Bichen, LI Chaokui, YU Guanghui, CHEN Qichun. Spatial-temporal Pattern and Population Driving Force of Land Use Change in Liupan Mountains Region, Southern Ningxia, China . Chinese Geographical Science, 2008, 18(4): 323-330. doi: 10.1007/s11769-008-0323-y
[5]	REN Chunying, ZHANG Bai, WANG Zongming, SONG Kaishan, LIU Dianwei, LIU Zhiming. A GIS-based Tupu Analysis of Dynamics of Saline-alkali Land in Western Jilin Province . Chinese Geographical Science, 2007, 17(4): 333-340. doi: 10.1007/s11769-007-0333-1
[6]	XU Jiangang, LIAO Banggu, SHEN Qing, ZHANG Feng, MEI Anxin. Urban Spatial Restructuring in Transitional Economy——Changing Land Use Pattern in Shanghai . Chinese Geographical Science, 2007, 17(1): 19-27. doi: 10.1007/s11769-007-0019-8
[7]	LIU Zhong-gang, LI Man-chun, SUN Yan, MA Wen-bo. STUDY ON SPATIAL AUTOCORRELATION OF URBAN LAND PRICE DISTRIBUTION IN CHANGZHOU CITY OF JIANGSU PROVINCE . Chinese Geographical Science, 2006, 16(2): 160-164.
[8]	GAO Chengkang, JIANG Dahe, WANG Dan, YAN Jonathan. Calculation of Ecological Footprint Based on Modified Method and Quantitative Analysis of Its Impact Factors——A Case Study of Shanghai . Chinese Geographical Science, 2006, 16(4): 306-313.
[9]	KONG Fan-hua, Nobukazu NAKAGOSHI, YIN Hai-wei, Akira KIKUCHI. SPATIAL GRADIENT ANALYSIS OF URBAN GREEN SPACES COMBINED WITH LANDSCAPE METRICS IN JINAN CITY OF CHINA . Chinese Geographical Science, 2005, 15(3): 254-261.
[10]	WANG Zhi-qiang, ZHANG Bai, YANG Guang, WANG Zong-ming, ZHANG Shu-qing. RESPONSES OF WETLAND ECO-SECURITY TO LAND USE CHANGE IN WESTERN JILIN PROVINCE, CHINA . Chinese Geographical Science, 2005, 15(4): 330-336.
[11]	ZHAO Bin, LI Bo, ZHONG Yang, NAKAGOSHI Nobukazu, CHEN Jia-kuan. ESTIMATION OF ECOLOGICAL SERVICE VALUES OF WETLANDS IN SHANGHAI, CHINA . Chinese Geographical Science, 2005, 15(2): 151-156.
[12]	XU Jian-hua, AI Nan-shan, CHEN Yong, MEI An-xin, LIAO Hong-juan. QUANTITATIVE ANALYSIS AND FRACTAL MODELING ON THE MOSAIC STRUCTURE OF LANDSCAPE IN THE CENTRAL AREA OF SHANGHAI METROPOLIS . Chinese Geographical Science, 2003, 13(3): 199-206.
[13]	GAO Jun-feng, LI Chang-feng, ZHANG Hong-hui. SOIL SPATIAL ANALYSIS AND AGRICULTURAL LAND USE OPTIMIZATION BY USING GIS . Chinese Geographical Science, 2003, 13(1): 25-29.
[14]	XU Han-qiu. AN ASSESSMENT OF LAND USE CHANGES IN FUQING COUNTY OF CHINA USING REMOTE SENSING TECHNOLOGY . Chinese Geographical Science, 2002, 12(2): 126-135.
[15]	MAO Zheng-yuan, LI Lin. THE STRATEGIES OF INTEGRATING SPATIAL DATA ANALYSIS AND GIS . Chinese Geographical Science, 2002, 12(3): 233-237.
[16]	ZHANG Xin-chang, PAN Qiong, ZHAO Ling-ling, YE Shen-tao. GIS-BASED ANALYSIS OF URBAN LAND-USE CHANGES—A Case Study of Haizhu District of Guangzhou City,China . Chinese Geographical Science, 2002, 12(4): 339-345.
[17]	YUAN Wen, YANG Kai. EVOLUTION OF POPULATION, RESOURCES, ENVIRONMENT AND INTEGRATED STRATEGY OF THEIR DEVELOPMENT IN SHANGHAI . Chinese Geographical Science, 2000, 10(3): 202-208.
[18]	张新长. AN INVESTIGATION OF CHANGES IN CULTIVATED LAND IN GUANGDONG PROVINCE OF CHINA USING GIS . Chinese Geographical Science, 1999, 9(3): 265-273.
[19]	黄铁青, 刘兆礼, 潘瑜春, 张养贞. LAND COVER SURVEY IN NORTHEAST CHINA USING REMOTE SENSING AND GIS . Chinese Geographical Science, 1998, 8(3): 264-270.
[20]	姚士谋, 帅江平, 侯晓虹. NEW DEVELOPMENT PATTERN AND COORDINATION WITH ENVIRONMENT FOR GREAT SHANGHAI . Chinese Geographical Science, 1993, 3(3): 214-225.

点击查看大图

计量

文章访问数: 1208
HTML全文浏览量: 36
PDF下载量: 1244
被引次数: 0

AN ANALYSIS ON LOCATION FACTORS AFFECTING THE SPATIAL DISTRIBUTION OF SHANGHAI LAND VALUES

Department of Geography, East China Normal University, Shanghai 200062, P. R. China

刊出日期: 1998-12-20

关键词:

Shanghai /

land values /

location factors /

multiple regression analysis /

GIS

摘要: With a technique of GIS(Geographical Information System) and a method of multiple linear regression analysis, the spatial distribution of Shanghai land values and its relationship with some location factors are examined in this paper. The database of land values consists of 166 land parcels leased during 1993-1994. The land value map shows that the spatial distribution of Shanghai land values has some distinct spatial features. Firstly, the highest land value areas are located along Nanjing Road, Huaihai Road and the Bund. Secondly, there is no conspicuous peak land value intersection within the CBD(Central Business District). Finally, The land values of Pudong are much lower than those of Puxi. The regression model between Shanghai land values and the selected location factors shows that Nanjing Road is the first important location factor affecting the spatial distribution of the land values, the city center is the second one and Huaihai Road is the third one. The Bund, the regional shopping centers and the transportation nodes have little influence on the land values. This relationship between Shanghai land values and the location factors is determined by the distribution of commercial activities, the characteristics of the CBD and the spatial form of the city.

留言板

AN ANALYSIS ON LOCATION FACTORS AFFECTING THE SPATIAL DISTRIBUTION OF SHANGHAI LAND VALUES

AN ANALYSIS ON LOCATION FACTORS AFFECTING THE SPATIAL DISTRIBUTION OF SHANGHAI LAND VALUES

计量

AN ANALYSIS ON LOCATION FACTORS AFFECTING THE SPATIAL DISTRIBUTION OF SHANGHAI LAND VALUES

Department of Geography, East China Normal University, Shanghai 200062, P. R. China

English Abstract

AN ANALYSIS ON LOCATION FACTORS AFFECTING THE SPATIAL DISTRIBUTION OF SHANGHAI LAND VALUES

Department of Geography, East China Normal University, Shanghai 200062, P. R. China

全文HTML

目录

留言板

AN ANALYSIS ON LOCATION FACTORS AFFECTING THE SPATIAL DISTRIBUTION OF SHANGHAI LAND VALUES

AN ANALYSIS ON LOCATION FACTORS AFFECTING THE SPATIAL DISTRIBUTION OF SHANGHAI LAND VALUES

计量

出版历程

AN ANALYSIS ON LOCATION FACTORS AFFECTING THE SPATIAL DISTRIBUTION OF SHANGHAI LAND VALUES

Department of Geography, East China Normal University, Shanghai 200062, P. R. China

English Abstract

AN ANALYSIS ON LOCATION FACTORS AFFECTING THE SPATIAL DISTRIBUTION OF SHANGHAI LAND VALUES

Department of Geography, East China Normal University, Shanghai 200062, P. R. China

全文HTML

目录