A GIS-based Spatial Analysis of Housing Price and Road Density in Proximity to Urban Lakes in Wuhan City, China

ZHANG Zuo; TAN Shukui; TANG Wenwu

doi:10.1007/s11769-015-0788-4

A GIS-based Spatial Analysis of Housing Price and Road Density in Proximity to Urban Lakes in Wuhan City, China

doi: 10.1007/s11769-015-0788-4

1.
College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China;
2.
School of Business, Hubei University, Wuhan 430062, China;
3.
Department of Geography and Earth Sciences and Center for Applied GIScience, University of North Carolina at Charlotte, Charlotte 28223, U.S.A.

基金项目: Under the auspices of National Natural Science Foundation of China (No. 41201164, L1422012), Humanity and Social Science Youth Foundation of Ministry of Education of China (No. 12YJCZH299), China Postdoctoral Science Foundation (No. 2012M521420, 2014T70693)

详细信息

通讯作者:
TAN Shukui. E-mail: tansk@126.com

A GIS-based Spatial Analysis of Housing Price and Road Density in Proximity to Urban Lakes in Wuhan City, China

1.
College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China;
2.
School of Business, Hubei University, Wuhan 430062, China;
3.
Department of Geography and Earth Sciences and Center for Applied GIScience, University of North Carolina at Charlotte, Charlotte 28223, U.S.A.

Funds: Under the auspices of National Natural Science Foundation of China (No. 41201164, L1422012), Humanity and Social Science Youth Foundation of Ministry of Education of China (No. 12YJCZH299), China Postdoctoral Science Foundation (No. 2012M521420, 2014T70693)

More Information

Corresponding author: TAN Shukui. E-mail: tansk@126.com

摘要: As one of the essential urban open spaces, lakes usually contribute immensely to the quality of residents' daily lives. Different from hedonic approach employed in existing researches on urban open spaces in China, this paper integrates housing price surface with road density to analyze the spatial characteristics in proximity to urban lakes in Wuhan City, China. With the expansion of Wuhan City, urban lakes became polluted, they shrunk or even disappeared, leading to unfavorable conditions for sustainable development of the city. To better understand the spatial relationship between the city and lakes, we classify the urban lakes in Wuhan central area into 'lakes in the urban center' and 'lakes in urban fringe'. Based on housing price surface we explore the spatial characteristics in proximity to different lakes and differences between the lakes. We also use Geographic Information System (GIS) tool to calculate road density as a supplementary indicator to reflect the accessibility in proximity to urban lakes. The results indicate that relative independence exists between different towns, and the spatial characteristics are different depending on scales and locations. In most of cases, the road density is lower where closer to the lakeshore while the housing price exhibits an opposite pattern. We conclude that city governments and urban planners should give more considerations to these spatial differences, somewhere should be better planned and protected as an important waterfront and somewhere the control of unreasonable real estate development nearby should be strengthened.
- urban lakes /
- housing prices /
- road density /
- Geographic Information System (GIS) /
- Wuhan City, China
Abstract: As one of the essential urban open spaces, lakes usually contribute immensely to the quality of residents' daily lives. Different from hedonic approach employed in existing researches on urban open spaces in China, this paper integrates housing price surface with road density to analyze the spatial characteristics in proximity to urban lakes in Wuhan City, China. With the expansion of Wuhan City, urban lakes became polluted, they shrunk or even disappeared, leading to unfavorable conditions for sustainable development of the city. To better understand the spatial relationship between the city and lakes, we classify the urban lakes in Wuhan central area into 'lakes in the urban center' and 'lakes in urban fringe'. Based on housing price surface we explore the spatial characteristics in proximity to different lakes and differences between the lakes. We also use Geographic Information System (GIS) tool to calculate road density as a supplementary indicator to reflect the accessibility in proximity to urban lakes. The results indicate that relative independence exists between different towns, and the spatial characteristics are different depending on scales and locations. In most of cases, the road density is lower where closer to the lakeshore while the housing price exhibits an opposite pattern. We conclude that city governments and urban planners should give more considerations to these spatial differences, somewhere should be better planned and protected as an important waterfront and somewhere the control of unreasonable real estate development nearby should be strengthened.
- urban lakes /
- housing prices /
- road density /
- Geographic Information System (GIS) /
- Wuhan City, China

[1]	Alonso W, 1960. A theory of the urban land market. Papers in Regional Science, 6(1): 149-157. doi: 10.1111/j.1435-5597. 1960.tb01710.x
[2]	Bastian C T, McLeod D M, Germino M J et al., 2002. Environmental amenities and agricultural land values: a hedonic model using geographic information systems data. Ecological Economics, 40(3): 337-349. doi: 10.1016/S0921-8009(01) 00278-6
[3]	Bourassa S C, Hoesli M, Sun J, 2004. What's in a view? Environment and Planning A, 36: 1427-1450. doi: 10.1068/a36103
[4]	Brueckner J K, 2000. Urban sprawl: diagnosis and remedies. International Regional Science Review, 23(2): 160-171. doi: 10.1177/016001700761012710
[5]	Bureau of Statistics of Wuhan, 2011. Wuhan Statistical Yearbook (2010). Beijing: China Statistics Press, 15. (in Chinese)
[6]	Burrough P A, McDonnell R, 1998. Principles of Geographical Information Systems. Oxford: Oxford University Press.
[7]	Cano-Guervós R, Chica-Olmo J, Hermoso-Gutiérrez J A, 2003. A geo-statistical method to define districts within a city. The Journal of Real Estate Finance and Economics, 27(1): 61-85. doi: 10.1023/A:1023659429765
[8]	Chau K, Ng F, 1998. The effects of improvement in public transportation capacity on residential price gradient in Hong Kong. Journal of Property Valuation and Investment, 16(4): 397-410. doi: 10.1108/14635789810228204
[9]	Chen J, Guo F, Zhu A, 2011. The housing-led growth hypothesis revisited evidence from the Chinese Provincial Panel Data. Urban Studies, 48(10): 2049-2067. doi: 10.1177/00420980 10379281
[10]	Chica-Olmo J, 2007. Prediction of housing location price by a multivariate spatial method: cokriging. Journal of Real Estate Research, 29(1): 91-114.
[11]	Coombes E, Jones A P, Hillsdon M, 2010. The relationship of physical activity and overweight to objectively measured green space accessibility and use. Social Science & Medicine, 70(6): 816-822. doi: 10.1016/j.socscimed.2009.11.020
[12]	Costanza R, d'Arge R, De Groot R et al., 1998. The value of the world's ecosystem services and natural capital. Ecological Economics, 1(25): 3-15. doi: 10.1016/S0921-8009(98)00020-2
[13]	Cotteleer G, Peerlings J H, 2011. Spatial planning procedures and property prices: the role of expectations. Landscape and Urban Planning, 100(1): 77-86. doi: 10.1016/j.landurbplan.2010. 11.010
[14]	Cressie N, 2001. Geostatistical Methods for Mapping Environmental Exposures. Spatial Epidemiology, 8(23): 185-204. doi: 10.1093/acprof:oso/9780198515326.003.0010.
[15]	Day B, Bateman I, Lake I, 2007. Beyond implicit prices: recovering theoretically consistent and transferable values for noise avoidance from a hedonic property price model. Environmental and Resource Economics, 37(1): 211-232. doi: 10. 1007/s10640-007-9121-8
[16]	De Smith M J, Goodchild M F, Longley P, 2007. Geospatial Analysis: A Comprehensive Guide to Principles, Techniques and Software Tools. Leicester: Troubador Publishing Ltd.
[17]	Dhondt K, Boeckx P, Hofman G et al., 2004. Temporal and spatial patterns of denitrification enzyme activity and nitrous oxide fluxes in three adjacent vegetated riparian buffer zones. Biology and Fertility of Soils, 40(4): 243-251. doi: 10.1007/ s00374-004-0773-z
[18]	Du N, Ottens H, Sliuzas R, 2010. Spatial impact of urban expansion on surface water bodies—a case study of Wuhan, China. Landscape and Urban Planning, 94(3-4): 175-185. doi: 10. 1016/j.landurbplan.2009.10.002
[19]	Dubin R, 2003. Robustness of spatial autocorrelation specifications: some Monte Carlo evidence. Journal of Regional Science, 43(2): 221-248. doi: 10.1111/1467-9787.00297
[20]	Esbah H, Cook E A, Ewan J, 2009. Effects of increasing urbanization on the ecological integrity of open space preserves. Environmental Management, 43(5): 846-862. doi: 10.1007/s 00267-009-9274-z
[21]	Fik T J, Ling D C, Mulligan G F, 2003. Modeling spatial variation in housing prices: a variable interaction approach. Real Estate Economics, 31(4): 623-646. doi: 10.1046/j.1080-8620.2003. 00079.x
[22]	Frederic Deng F, Huang Y, 2004. Uneven land reform and urban sprawl in China: the case of Beijing. Progress in Planning, 61(3): 211-236. doi: 10.1016/j.progress.2003.10.004
[23]	Germino M J, Reiners W A, Blasko B J et al., 2001. Estimating visual properties of Rocky Mountain landscapes using GIS. Landscape and Urban Planning, 53(1): 71-83. doi: 10.1016/ S0169-2046(00)00141-9
[24]	Guo G, Wu F, Xie F, Zhang R, 2012. Spatial distribution and pollution assessment of heavy metals in urban soils from southwest China. Journal of Environmental Sciences, 24(3): 410-418. doi: 10.1016/S1001-0742(11)60762-6
[25]	Hardie I, Lichtenberg E, Nickerson C J, 2007. Regulation, open space, and the value of land undergoing residential subdivision. Land Economics, 83(4): 458-474. doi: 10.3368/le.83. 4.458
[26]	Irwin E G, 2002. The effects of open space on residential property values. Land Economics, 78(4): 465-480. doi: 10.2307/ 3146847
[27]	Irwin E G, Bockstael N E, 2004. Land use externalities, open space preservation, and urban sprawl. Regional Science and Urban Economics, 34(6): 705-725. doi: 10.1016/s0166-0462 (04)00018-3
[28]	Jiao L, Liu Y, 2010. Geographic Field Model based hedonic valuation of urban open spaces in Wuhan, China. Landscape and Urban Planning, 98(1): 47-55. doi: 10.1016/j.landurbplan. 2010.07.009
[29]	Kong F, Yin H, Nakagoshi N, 2007. Using GIS and landscape metrics in the hedonic price modeling of the amenity value of urban green space: a case study in Jinan City, China. Landscape and Urban Planning, 79(3): 240-252. doi: 10.1016/j. landurbplan.2006.02.013
[30]	Le Coz M, Delclaux F, Genthon P et al., 2009. Assessment of Digital Elevation Model (DEM) aggregation methods for hydrological modeling: Lake Chad basin, Africa. Computers & Geosciences, 35(8): 1661-1670. doi: 10.1016/j.cageo.2008. 07.009
[31]	Lichtenberg E, 2011. Open space and urban sprawl: the effects of zoning and forest conservation regulations in Maryland. Agricultural and Resource Economics, Review 40(3): 393.
[32]	Lichtenberg E, Hardie I, 2007. Open space, forest conservation, and urban sprawl in Maryland suburban subdivisions. American Journal of Agricultural Economics, 89(5): 1198-1204. doi: 10.1111/j.1467-8276.2007.01084.x
[33]	Liu Yaobin, Chen Hongmei, 2003. The evolution, problems and protecting suggestions of lakes in Wuhan municipality. Journal of Hubei University (Natural Science Edition), 2: 163-168. (in Chinese)
[34]	Luttik J, 2000. The value of trees, water and open space as reflected by house prices in the Netherlands. Landscape and Urban Planning, 48(3): 161-167. doi: 10.1016/s0169-2046 (00)00039-6
[35]	McCluskey W J, Deddis W G, Lamont I G et al., 2000. The application of surface generated interpolation models for the prediction of residential property values. Journal of Property Investment & Finance, 18(2): 162-176. doi: 10.1108/14635 780010324321
[36]	Osland L, Pryce G, 2012. Housing prices and multiple employment nodes: is the relationship nonmonotonic? Housing Studies, 27(8): 1182-1208. doi: 10.1080/02673037.2012.728571
[37]	Paterson R W, Boyle K J, 2002. Out of sight, out of mind? Using GIS to incorporate visibility in hedonic property value models. Land Economics, 78(3): 417-425. doi : 10.2307/3146899
[38]	Schueler T, Simpson J, 2004. Why urban Lakes are different. Ratio, 2: 19.
[39]	Seiler M J, Bond M T, Seiler V L, 2001, The impact of world class great lakes water views on residential property values. Appraisal Journal, 69(3): 287-295. doi: 10.1029/wr010i 001p00037
[40]	Shafer C S, Lee B K, Turner S, 2000. A tale of three greenway trails: user perceptions related to quality of life. Landscape and Urban Planning, 49(3): 163-178. doi: 10.1016/s0169-2046(00)00057-8
[41]	Smith V K, Poulos C, Kim H, 2002. Treating open space as an urban amenity. Resource and Energy Economics, 24(1-2): 107-129. doi: 10.1016/s0928-7655(01)00055-0
[42]	Song Y, Zenou Y, 2012. Urban villages and housing values in China. Regional Science and Urban Economics, 42(3): 495-505. doi: 10.1016/j.regsciurbeco.2011.06.003
[43]	Sun Ningtao, Li Juntao, 2007. Urban lakes ecosystem service function and its protect. Journal of Anhui Agricultural Science, 22: 6885-6886. (in Chinese)
[44]	Tang B, Yiu C Y, 2010. Space and scale: a study of development intensity and housing price in Hong Kong. Landscape and Urban Planning, 96(3): 172-182. doi: 10.1016/j.landurbplan. 2010.03.005
[45]	Waltert F, Schläpfer F, 2010. Landscape amenities and local development: a review of migration, regional economic and hedonic pricing studies. Ecological Economics, 70(2): 141-152. doi: 10.1016/j.ecolecon.2010.09.031
[46]	Wen H, Bu X, Qin Z, 2014. Spatial effect of lake landscape on housing price: a case study of the West Lake in Hangzhou, China. Habitat International, 44: 31-40. doi: 10.1016/j.habitatint.2014.05.001
[47]	Wen H, Tao Y, 2015. Polycentric urban structure and housing price in the transitional China: evidence from Hangzhou. Habitat International, 46: 138-146. doi: 10.1016/j.habitatint. 2014.11.006
[48]	Wu J, Adams R M, Plantinga A J, 2004. Amenities in an urban equilibrium model: residential development in Portland, Oregon. Land Economics, 80(1): 19-32. doi: 10.2307/3147142
[49]	Wu J, Xie H, 2011. Research on characteristics of changes of lakes in Wuhan's main urban area. Procedia Engineering, 21: 395-404. doi: 10.1016/j.proeng.2011.11.2031
[50]	Yeates M H, 1965. Some factors affecting the spatial distribution of Chicago land values, 1910-1960. Economic Geography, 41(1): 57-70. doi: 10.2307/141856
[51]	Yu Ruilin, Wang Xinsheng, Liu Chengliang, 2007. The evolution process and development mode of the road traffic network in Wuhan City. Modern Urban Research, 22(10): 70-76. (in Chinese)
[52]	Zeng Zhongping, Lu Xinhai, 2008. Spatial-temporal evolution of urban lakes in Wuhan City based on remote sensing images. Journal of Lake Sciences, 5: 648-654. (in Chinese )
[53]	Zhou Demin, Xu Jianchun, Gong Huili, 2006. GIS supported hedonic model for assessing property value in west Oakland, California. Chinese Geographical Science, 16(1): 70-78.

[1]	Yang WANG, Kangmin WU, Hong’ou ZHANG, Yi LIU, Xiaoli YUE. Identifying Spatial Heterogeneity in the Effects of High-Tech Firm Density on Housing Prices: Evidence from Guangdong-Hong Kong-Macao Greater Bay Area, China . Chinese Geographical Science, 2023, 33(2): 233-249. doi: 10.1007/s11769-023-1341-5
[2]	Kangwen ZHU, Yucheng CHEN, Sheng ZHANG, Zhimin YANG, Lei HUANG, Bo LEI, Hailing XIONG, Sheng WU, Xixi LI. Risk Prevention and Control for Agricultural Non-Point Source Pollution Based on the Process of Pressure-Transformation-Absorption in Chongqing, China . Chinese Geographical Science, 2021, 31(4): 735-750. doi: 10.1007/s11769-021-1221-9
[3]	WANG Fahui, LIU Cuiling, XU Yaping. Analyzing Population Density Disparity in China with GIS-automated Regionalization: The Hu Line Revisited . Chinese Geographical Science, 2019, 20(4): 541-552. doi: 10.1007/s11769-019-1054-y
[4]	FANG Chong, WEN Zhidan, LI Lin, DU Jia, LIU Ge, WANG Xiaodi, SONG Kaishan. Agricultural Development and Implication for Wetlands Sustainability: A Case from Baoqing County, Northeast China . Chinese Geographical Science, 2019, 20(2): 231-244. doi: 10.1007/s11769-019-1019-1
[5]	BAO Le, MA Keming, XU Xiaowu, YU Xinxiao. Foliar Particulate Matter Distribution in Urban Road System of Beijing, China . Chinese Geographical Science, 2019, 20(4): 591-600. doi: 10.1007/s11769-019-1057-8
[6]	WANG Jiechen, WU Jiayi, NI Jianhua, CHEN Jie, XI Changbai. Relationship Between Urban Road Traffic Characteristics and Road Grade Based on a Time Series Clustering Model: A Case Study in Nanjing, China . Chinese Geographical Science, 2018, 28(6): 1048-1060. doi: 10.1007/s11769-018-0982-2
[7]	YANG Jun, BAO Yajun, ZHANG Yuqing, LI Xueming, GE Quansheng. Impact of Accessibility on Housing Prices in Dalian City of China Based on a Geographically Weighted Regression Model . Chinese Geographical Science, 2018, 28(3): 505-515. doi: 10.1007/s11769-018-0954-6
[8]	Kumar Singh CHANDAN, Bhaskar Katpatal YASHWANT. Optimization of Groundwater Level Monitoring Network Using GIS-based Geostatistical Method and Multi-parameter Analysis: A Case Study in Wainganga Sub-basin, India . Chinese Geographical Science, 2017, 27(2): 201-215. doi: 10.1007/s11769-017-0859-9
[9]	LIU Yaolin, WANG Huimin, JIAO Limin, LIU Yanfang, HE Jianhua, AI Tinghua. Road Centrality and Landscape Spatial Patterns in Wuhan Metropolitan Area, China . Chinese Geographical Science, 2015, 25(4): 511-522. doi: 10.1007/s11769-015-0749-y
[10]	LIU Yong, WANG Cheng, YUE Wenze, HU Yanyan. Storage and Density of Soil Organic Carbon in Urban Topsoil of Hilly Cities: A Case Study of Chongqing Municipality of China . Chinese Geographical Science, 2013, 23(1): 26-34.
[11]	SONG Wei, CHEN Baiming, ZHANG Ying, WU Jianzhai. Establishment of Rural Housing Land Standard in China . Chinese Geographical Science, 2012, 22(4): 483-495.
[12]	KUANG Wenhui. Spatio-temporal Patterns of Intra-urban Land Use Change in Beijing, China Between 1984 and 2008 . Chinese Geographical Science, 2012, 22(2): 210-220.
[13]	CHEN Xia, WEI Wenshou, LIU Mingzhe. Change in Fresh Snow Density in Tianshan Mountains, China . Chinese Geographical Science, 2011, 21(1): 36-47.
[14]	Mohammad Reza Jelokhani-Niaraki, Ali Asghar Alesheikh, Abolghasem Sadeghi-Niaraki. An Efficient Approach for Historical Storage and Retrieval of Segmented Road Data in Geographic Information System for Transportation . Chinese Geographical Science, 2010, 20(3): 236-242. doi: 10.1007/s11769-010-0236-4
[15]	ZHEN Feng, WEI Zongcai. Influence of Information Technology on Social Spatial Behaviors of Urban Residents——Case of Nanjing City in China . Chinese Geographical Science, 2008, 18(4): 316-322. doi: 10.1007/s11769-008-0316-x
[16]	WANG Xuelei, NING Longmei, YU Jing, XIAO Rui, LI Tao. Changes of Urban Wetland Landscape Pattern and Impacts of Urbanization on Wetland in Wuhan City . Chinese Geographical Science, 2008, 18(1): 47-53. doi: 10.1007/s11769-008-0047-z
[17]	PENG Chong, CHENG Jianquan. Using Multi-agent System for Residential Expansion Models——A Case Study of Hongshan District,Wuhan City . Chinese Geographical Science, 2007, 17(3): 210-215. doi: 10.1007/s11769-007-0210-y
[18]	WANG Ning, ZHANG Hong-yan, WANG Hui-lian, ZHANG Zheng-xiang. SPATIAL ANALYSIS OF SOIL EROSION AND NON-POINT SOURCE POLLUTION BASED ON GIS IN ERLONG LAKE WATERSHED, JILIN PROVINCE . Chinese Geographical Science, 2004, 14(4): 355-360.
[19]	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.
[20]	刘妙龙, 涂建华. THE POSITION AND ROLE OF WUHAN CITY IN THE REGIONAL ECONOMIC MACRO STRATEGIES OF CHINA . Chinese Geographical Science, 1998, 8(2): 106-116.

点击查看大图

计量

文章访问数: 504
HTML全文浏览量: 10
PDF下载量: 887
被引次数: 0

姓名
邮箱
手机号码
标题
留言内容
验证码

留言板

A GIS-based Spatial Analysis of Housing Price and Road Density in Proximity to Urban Lakes in Wuhan City, China

doi: 10.1007/s11769-015-0788-4

通讯作者:
TAN Shukui. E-mail: tansk@126.com

A GIS-based Spatial Analysis of Housing Price and Road Density in Proximity to Urban Lakes in Wuhan City, China

Corresponding author: TAN Shukui. E-mail: tansk@126.com

计量

A GIS-based Spatial Analysis of Housing Price and Road Density in Proximity to Urban Lakes in Wuhan City, China

doi: 10.1007/s11769-015-0788-4

通讯作者: TAN Shukui. E-mail: tansk@126.com

English Abstract

A GIS-based Spatial Analysis of Housing Price and Road Density in Proximity to Urban Lakes in Wuhan City, China

Corresponding author: TAN Shukui. E-mail: tansk@126.com

全文HTML

目录

留言板

A GIS-based Spatial Analysis of Housing Price and Road Density in Proximity to Urban Lakes in Wuhan City, China

doi: 10.1007/s11769-015-0788-4

通讯作者: TAN Shukui. E-mail: tansk@126.com

A GIS-based Spatial Analysis of Housing Price and Road Density in Proximity to Urban Lakes in Wuhan City, China

Corresponding author: TAN Shukui. E-mail: tansk@126.com

计量

出版历程

A GIS-based Spatial Analysis of Housing Price and Road Density in Proximity to Urban Lakes in Wuhan City, China

doi: 10.1007/s11769-015-0788-4

通讯作者: TAN Shukui. E-mail: tansk@126.com

English Abstract

A GIS-based Spatial Analysis of Housing Price and Road Density in Proximity to Urban Lakes in Wuhan City, China

Corresponding author: TAN Shukui. E-mail: tansk@126.com

全文HTML

目录

通讯作者:
TAN Shukui. E-mail: tansk@126.com