Case Studies
Nov 10, 2021

Influence of Accessibility to Urban Service Amenities on Housing Prices: Evidence from Beijing

Publication: Journal of Urban Planning and Development
Volume 148, Issue 1

Abstract

Housing prices are deeply influenced by urban service amenities, and measuring this effect is necessary to help administrations construct informed urban planning strategies. However, studies have not fully assessed the heterogeneous and spatial effects of accessibility to urban service amenities. This study classifies urban service amenities into six categories and divides Beijing into different areas. A hedonic price model and a spatial econometric model were used to examine different categories and locations and also the spatial effects of urban service amenities. The results are as follows: (1) the influence of urban service amenities varies among different categories; specifically, dining and shopping services and health services have negative impacts, whereas other amenities have significant positive effects. (2) The effects of urban service amenities on housing prices spatially vary. The effects decrease as the distances from the central business district (CBD) and the nearest employment center increase, and this impact is different in different areas. (3) The influence has spatial spillover effects, and the “half-decline” distance is approximately 18 km. This study contributes to our awareness of the meaning and heterogeneity of the effects of urban service amenities on housing prices, demonstrating that a universal and one-size-fits-all policy should be avoided.

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Acknowledgments

This study was supported by the National Natural Science Foundation of China (71503067) and the National Social Science Foundation of China (18XJL009). The authors wish to thank editor and reviewers for their insightful suggestions.

References

Alexander, C., and M. Barrow. 1994. “Seasonality and cointegration of regional house prices in the UK.” Urban Stud. 31 (10): 1667–1689. https://doi.org/10.1080/00420989420081571.
Alonso, W. 1964. “Market equilibrium.” In Location and land use toward a general theory of land rent. Cambridge, MA: Harvard University Press.
Anselin, L. 1988. “Spatial econometrics: Methods and models.” Econ. Geogr. 65 (2): 160–162. https://doi.org/10.1007/978-94-015-7799-1.
Beracha, E., B. Gilbert, T. Kjorstad, and K. Womack. 2018. “On the relation between local amenities and house price dynamics.” Real Estate Econ. 46 (3): 612–654. https://doi.org/10.1111/1540-6229.12170.
Black, S. E., and S. Machin. 2011. “Housing valuations of school performance.” In Vol. 3 of Handbook of the Economics of Education, E. A. Hanushek, S. Machin, and L. Woessmann, 485–519. New York: Elsevier.
Brasington, D., and D. R. Haurin. 2003. “Educational outcomes and house values: A test of the value-added approach.” J. Reg. Sci. 46 (2): 245–268. https://doi.org/10.1111/j.0022-4146.2006.00440.x.
Cheshire, P., and S. Sheppard. 1998. “Estimating the demand for housing, land, and neighbourhood characteristics.” Oxford Bull. Econ. Stat. 60 (3): 357–382. https://doi.org/10.1111/1468-0084.00104.
Clapp, J. M., A. Nanda, and S. L. Ross. 2008. “Which school attributes matter? The influence of school district performance and demographic composition on property values.” J. Urban Econ. 63 (2): 451–466. https://doi.org/10.1016/j.jue.2007.03.004.
Clark, C. 1951. “The conditions of economic progress.” Rev. Écon. 4 (6): 123. https://doi.org/10.2307/3497513.
Coffey, W. J., R. Drolet, and M. Polèse. 1996. “The intrametropolitan location of high order services: Patterns, factors and mobility in Montreal.” Pap. Reg. Sci. 75 (3): 293–323. https://doi.org/10.1111/j.1435-5597.1996.tb00667.x.
Cook, S. 2003. “The convergence of regional house prices in the UK.” Urban Stud. 40 (11): 2285–2294. https://doi.org/10.1080/0042098032000123295.
D'Elia, V. V., M. C. Grand, and S. León. 2020. “Bus rapid transit and property values in Buenos Aires: Combined spatial hedonic pricing and propensity score techniques.” Res. Transp. Econ. 80: 100814. https://doi.org/10.1016/j.retrec.2020.100814.
DeVerteuil, G. 2000. “Reconsidering the legacy of urban public facility location theory in human geography.” Prog. Hum. Geog. 24 (1): 47–69. https://doi.org/10.1191/030913200668094045.
Du, X. J., and Z. H. Huang. 2018. “Spatial and temporal effects of urban wetlands on housing prices: Evidence from Hangzhou, China.” Land Use Policy 73: 290–298. https://doi.org/10.1016/j.landusepol.2018.02.011.
Dubin, R. A. 1998. “Spatial autocorrelation: A primer.” J. Hous. Econ. 7 (4): 304–327. https://doi.org/10.1006/jhec.1998.0236.
Dubin, R. A., and C. H. Sung. 1990. “Specification of hedonic regressions: Non-nested tests on measures of neighborhood quality.” J. Urban Econ. 27 (1): 97–110. https://doi.org/10.1016/0094-1190(90)90027-K.
Fingleton, B. 2006. “A cross-sectional analysis of residential property prices: The effects of income, commuting, schooling, the housing stock and spatial interaction in the English regions.” Pap. Reg. Sci. 85 (3): 339–https://doi.org/10.1111/j.1435-5957.2006.00089.x.
Frank, L. D., J. F. Sallis, T. L. Conway, J. E. Chapman, B. E. Saelens, and W. Bachman. 2007. “Many pathways from land use to health: Associations between neighborhood walkability and active transportation, body mass index, and air quality.” J. Am. Plann. Assoc. 72 (1): 75–87. https://doi.org/10.1080/01944360608976725.
Fujii, T., and T. A. Hartshorni. 1995. “The changing metropolitan structure of Atlanta, Georgia: Locations of functions and regional structure in a multinucleated urban area.” Urban Geog. 16 (8): 680–707. https://doi.org/10.2747/0272-3638.16.8.680.
Gaigne, C., H. Koster, F. Moizeau, and J. F. Thisse. 2017. “Amenities and the social structure of cities.” HSE Working Papers. Russia: National Research University Higher School of Economics.
Gao, Y., X. L. Li, and J. C. Dong. 2019. “Why do housing prices differ? The role of public service in housing market.” [In Chinese.] Syst. Eng. Theory Pract. 9: 2255–2262. https://doi.org/CNKI:SUN:XTLL.0.2019-09-007.
Gatzlaff, D. H., and D. C. Ling. 1994. “Measuring changes in local house prices: An empirical investigation of alternative methodologies.” J. Urban Econ. 35 (2): 221–244. https://doi.org/10.1006/juec.1994.1014.
Giussani, B., and G. Hadjimatheou. 1991. “Modeling regional house prices in the United Kingdom.” Pap. Reg. Sci. 70 (2): 201–219. https://doi.org/10.1111/j.1435-5597.1991.tb01728.x.
Grunewald, K., B. Richter, G. Meinel, H. Herold, and R. U. Syrbe. 2017. “Proposal of indicators regarding the provision and accessibility of Green spaces for assessing the ecosystem service ‘recreation in the city’ in Germany.” Int. J. Biodivers. Sci. Ecosyst. Serv. Manage. 13 (2): 26–39. https://doi.org/10.1080/21513732.2017.1283361.
Holly, S., M. H. Pesaran, and T. Yamagata. 2011. “The spatial and temporal diffusion of house prices in the UK.” J. Urban Econ. 69 (1): 2–23. https://doi.org/10.1016/j.jue.2010.08.002.
Hu, Y. J., S. Gao, K. Janowicz, B. L. Yu, W. W. Li, and S. Prasad. 2015. “Extracting and understanding urban areas of interest using geotagged photos.” Comput. Environ. Urban Syst. 54: 240–254. https://doi.org/10.1016/j.compenvurbsys.2015.09.001.
Huang, B., X. Y. He, L. Xu, and Y. Zhu. 2020. “Elite school designation and housing prices-quasi-experimental evidence from Beijing, China.” J. Hous. Econ. 50: 101730. https://doi.org/10.1016/j.jhe.2020.101730.
Hui, E. C. M., C. K. Chau, L. L. Pun, and M. Y. Law. 2007. “Measuring the neighboring and environmental effects on residential property value: Using spatial weighting matrix.” Build. Environ. 42 (6): 2333–2343. https://doi.org/10.1016/j.buildenv.2006.05.004.
Jang, M., and C. D. Kang. 2015. “Retail accessibility and proximity effects on housing prices in Seoul, Korea: A retail type and housing submarket approach.” Habitat Int. 49: 516–528. https://doi.org/10.1016/j.habitatint.2015.07.004.
Jensen, C. U., T. E. Panduro, T. H. Lundhede, K. V. Graevenitz, and B. J. Thorsen. 2021. “Who demands peri-urban nature? A second stage hedonic house price estimation of household's preference for peri-urban nature.” Landscape Urban Plann. 207: 104016. https://doi.org/10.1016/j.landurbplan.2020.104016.
Kang, X., J. J. Pan, Y. X. Zhu, H. R. Bai, and X. L. Lu. 2021. “A method for identifying the urban nuclei based on POI big data.” [In Chinese.] Remote Sens. Technol. Appl. 36 (01): 237–246.
Kim, Y. J., and A. Woo. 2016. “What’s the score? Walkable environments and subsidized households.” Sustainability 8 (4): 396. https://doi.org/10.3390/su8040396.
Laurice, J., and R. Bhattacharya. 2005. “Prediction performance of a hedonic pricing model for housing.” Appraisal J. 73 (2): 198–209.
LeSage, J., and R. K. Pace. 2008. “Introduction to spatial econometrics.” Rei 123: 19–44. https://doi.org/10.1111/j.1467-985X.2010.00681_13.x.
Li, H., Y. D. Wei, Y. Y. Wu, and G. Tian. 2019. “Analyzing housing prices in shanghai with open data: Amenity, accessibility and urban structure.” Cities 91: 165–179. https://doi.org/10.1016/j.cities.2018.11.016.
Li, H., Y. D. Wei, Z. Yu, and G. Tian. 2016. “Amenity, accessibility and housing values in metropolitan USA: A study of Salt Lake County, Utah.” Cities 59: 113–125. https://doi.org/10.1016/j.cities.2016.07.001.
Liu, H. X., R. P. Remme, P. Hamel, H. F. Nong, and H. Ren. 2020a. “Supply and demand assessment of urban recreation service and its implication for greenspace planning—A case study on Guangzhou.” Landscape Urban Plann. 203: 103898. https://doi.org/10.1016/j.landurbplan.2020.103898.
Liu, H. L., and Y. Shen. 2020. “Industry selection and population inflow region in megacities: An empirical analysis of Beijing and Shanghai.” [In Chinese.] South China Popul. 1: 42–52. https://doi.org/CNKI:SUN:LFRK.0.2020-01-004.
Liu, J. P., Y. Deng, Y. Wang, H. S. Huang, Q. Y. Du, and F. Ren. 2020b. “Urban nighttime leisure space mapping with nighttime light images and POI data.” Remote Sens. 12 (3): 541. https://doi.org/10.3390/rs12030541.
Lou, G., Q. X. Chen, K. He, Y. Zhou, and Z. Shi. 2019. “Using nighttime light data and POI big data to detect the urban centers of hangzhou.” Remote Sens. 11 (15): 1821. https://doi.org/10.3390/rs11151821.
Lv, Y. Q., X. Q. Zheng, and L. Zhou. 2017. “Study on the correlation between road network centrality and spatial distribution of urban functional land: A case study of Beijing city center.” [In Chinese.] Geog. Res. 7: 1353–1363. https://doi.org/10.11821/dlyj201707013.
Maslow, A. H. 1943. “A theory of human motivation.” Psychol. Rev. 50: 370–396. https://doi.org/10.1037/h0054346.
Meen, G. 1999. “Regional house prices and the ripple effect: A new interpretation.” Hous. Stud. 14 (6): 733–753. https://doi.org/10.1080/02673039982524.
Mouratidis, K. 2020. “Commute satisfaction, neighborhood satisfaction, and housing satisfaction as predictors of subjective well-being and indicators of urban livability.” Travel Behav. Soc. 21: 265–278. https://doi.org/10.1016/j.tbs.2020.07.006.
Mulley, C., L. Ma, G. Clifton, B. Yen, and M. Burke. 2016. “Residential property value impacts of proximity to transport infrastructure: An investigation of bus rapid transit and heavy rail networks in Brisbane, Australia.” J. Transp. Geog. 54: 41–52. https://doi.org/10.1016/j.jtrangeo.2016.05.010.
Nepal, M., R. K. Rai, M. S. Khadayat, and E. Somanathan. 2020. “Value of cleaner neighborhoods: Application of hedonic price model in low income context.” World Dev. 131: 104965. https://doi.org/10.1016/j.worlddev.2020.104965.
Netusil, N. R. 2013. “Urban environmental amenities and property values: Does ownership matter?” Land Use Policy 31: 371–377. https://doi.org/10.1016/j.landusepol.2012.07.016.
Paliska, D., and S. Drobne. 2020. “Impact of new motorway on housing prices in rural North-East Slovenia.” J. Transp. Geog. 88: 102831. https://doi.org/10.1016/j.jtrangeo.2020.102831.
Palmquist, R. B. 2005. “Property value models.” Handb. Environ. Econ. 2: 763–819. https://doi.org/10.1016/S1574-0099(05)02016-4.
Rajapaksa, D., M. Gono, C. Wilson, S. Managi, B. Lee, and V. N. Hoang. 2020. “The demand for education: The impacts of good schools on property values in Brisbane, Australia.” Land Use Policy 97: 104748. https://doi.org/10.1016/j.landusepol.2020.104748.
Redfearn, C. L. 2009. “How informative are average effects? Hedonic regression and amenity capitalization in complex urban housing markets.” Reg. Sci. Urban Econ. 39 (3): 297–306. https://doi.org/10.1016/j.regsciurbeco.2008.11.001.
Rosen, S. 1974. “Hedonic prices and implicit markets: Product differentiation in pure competition.” J. Polit. Econ. 82 (1): 34–55. https://doi.org/10.1086/260169.
Schlapfer, F., F. Waltert, L. Segura, and F. Kienast. 2015. “Valuation of landscape amenities: A hedonic pricing analysis of housing rents in urban, suburban and periurban Switzerland.” Landscape Urban Plann. 141: 24–40. https://doi.org/10.1016/j.landurbplan.2015.04.007.
Sebastiani, A., F. Marando, and F. Manes. 2021. “Mismatch of regulating ecosystem services for sustainable urban planning: PM10 removal and urban heat island effect mitigation in the municipality of Rome (Italy).” Urban For. Urban Greening 57: 126938. https://doi.org/10.1016/j.ufug.2020.126938.
Setyono, D. A., D. D. Cahyono, and M. Helmy. 2016. “Measuring service capacity of public facilities based on supply aspect (case study: Elementary school in Malang City).” Procedia—Soc. Behav. Sci. 227: 45–51. https://doi.org/10.1016/j.sbspro.2016.06.041.
Sun, T. S., L. L. Wang, and G. P. Li. 2012. “Distributions of population and employment and evolution of spatial structures in the Beijing Metropolitan Area.” [In Chinese.] Acta Geog. Sin. 6: 111–122. https://doi.org/10.11821/xb201206010.
Sun, Y. R., H. C. Fan, M. Li, and A. Zipf. 2015. “Identifying the city center using human travel flows generated from location-based social networking data.” Environ. Plann. B: Urban Anal. City Sci. 43 (3): 480–498. https://doi.org/10.1177/0265813515617642.
Tapsuwan, S., G. Ingram, M. Burton, and D. Brennan. 2010. “Capitalized amenity value of urban wetlands: A hedonic property price approach to urban wetlands in Perth, Western Australia.” Aust. J. Agric. Resour. Econ. 53 (4): 527–545. https://doi.org/10.1111/j.1467-8489.2009.00464.x.
Teitz, M. B. 1968. “Toward a theory of urban public facility location.” Pap. Reg. Sci. Assoc. 21 (1): 35–51. https://doi.org/10.1007/BF01952720.
Tian, G., Y. D. Wei, and H. Li. 2017. “Effects of accessibility and environmental health risk on housing prices: A case of Salt Lake County, Utah.” Appl. Geogr. 89: 12–21. https://doi.org/10.1016/j.apgeog.2017.09.010.
Tiebout, C. M. 1956. “A pure theory of local expenditures.” J. Polit. Econ. 64 (5): 416–424. https://doi.org/10.1086/257839.
Wang, W. D., Z. B. Xu, D. Q. Sun, and T. Lan. 2021. “Spatial optimization of mega-city fire stations based on multi-source geospatial data: A case study in Beijing.” ISPRS Int. J. Geo-Inf. 10 (5): 282. https://doi.org/10.3390/ijgi10050282.
Wang, Y., and G. Y. Deng. 2012. “Neighborhood quality and housing value: Evidence from urban micro data.” J. Manage. Sustainability 2 (1): 128. https://doi.org/10.5539/jms.v2n1p128.
Wen, H. Z., X. Q. Bu, and Z. F. Qin. 2014a. “Spatial effect of lake landscape on housing price: A case study of the West Lake in Hangzhou, China.” Habitat Int. 44: 31–40. https://doi.org/10.1016/j.habitatint.2014.05.001.
Wen, H. Z., and Y. L. Tao. 2015. “Polycentric urban structure and housing price in the transitional China: Evidence from Hangzhou.” Habitat Int. 46: 138–146. https://doi.org/10.1016/j.habitatint.2014.11.006.
Wen, H. Z., Y. Xiao, E. C. M. Hui, and L. Zhang. 2018. “Education quality, accessibility, and housing price: Does spatial heterogeneity exist in education capitalization?” Habitat Int. 78: 68–82. https://doi.org/10.1016/j.habitatint.2018.05.012.
Wen, H. Z., Y. Xiao, and L. Zhang. 2017. “School district, education quality, and housing price: Evidence from a natural experiment in Hangzhou, China.” Cities 66: 72–80. https://doi.org/10.1016/j.cities.2017.03.008.
Wen, H. Z., Y. Zhang, and L. Zhang. 2014b. “Do educational facilities affect housing price? An empirical study in Hangzhou, China.” Habitat Int. 42: 155–163. https://doi.org/10.1016/j.habitatint.2013.12.004.
Wu, C., X. Y. Ye, Q. Y. Du, and P. Luo. 2017. “Spatial effects of accessibility to parks on housing prices in Shenzhen, China.” Habitat Int. 63: 45–54. https://doi.org/10.1016/j.habitatint.2017.03.010.
Yang, L. C., X. L. Chu, Z. H. Gou, H. T. Yang, Y. Lu, and W. C. Huang. 2020. “Accessibility and proximity effects of bus rapid transit on housing prices: Heterogeneity across price quantiles and space.” J. Transp. Geog. 88: 102850. https://doi.org/10.1016/j.jtrangeo.2020.102850.
Yang, R. R., and R. Y. Long. 2016. “Analysis of the influencing factors of the public willingness to participate in public bicycle projects and intervention strategies—A case study of Jiangsu Province, China.” Sustainability 8 (4): 349. https://doi.org/10.3390/su8040349.
Yu, Y. Z., D. Y. Liu, and Y. Xuan. 2016. “The spillover effect of producer services agglomeration on manufacturing productivity and its attenuation boundary: An empirical analysis based on a spatial econometric model.” [In Chinese.] Financ. Res. 2: 23–36. https://doi.org/CNKI:SUN:JRYJ.0.2016-02-002.
Yuan, F., Y. D. Wei, and J. W. Wu. 2020. “Amenity effects of urban facilities on housing prices in China: Accessibility, scarcity, and urban spaces.” Cities 96: 102433. https://doi.org/10.1016/j.cities.2019.102433.
Yuan, F., J. W. Wu, Y. D. Wei, and L. Wang. 2018. “Policy change, amenity, and spatiotemporal dynamics of housing prices in Nanjing, China.” Land Use Policy 75: 225–236. https://doi.org/10.1016/j.landusepol.2018.03.045.
Zhai, W., X. Y. Bai, Y. Shi, Y. Han, Z. R. Peng, and C. L. Gu. 2019. “Beyond Word2vec: An approach for urban functional region extraction and identification by combining Place2vec and POIs.” Comput. Environ. Urban Syst. 74: 1–12. https://doi.org/10.1016/j.compenvurbsys.2018.11.008.
Zhang, L., J. T. Zhou, and E. C. M. Hui. 2020. “Which types of shopping malls affect housing prices? From the perspective of spatial accessibility.” Habitat Int. 96: 102118. https://doi.org/10.1016/j.habitatint.2020.102118.
Zhang, Y. L., and R. C. Dong. 2018. “Impacts of street-visible greenery on housing prices: Evidence from a hedonic price model and a massive street view image dataset in Beijing.” ISPRS Int. J. Geo-Inf. 7 (3): 104. https://doi.org/10.3390/ijgi7030104.
Zhao, X. C. 2011. “Study on quality public resources allocation and population dispersal in Beijing.” [In Chinese.] Popul. Res. 35 (4): 75–84. https://doi.org/CNKI:SUN:RKYZ.0.2011-04-006.

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Journal of Urban Planning and Development
Volume 148Issue 1March 2022

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Received: May 13, 2021
Accepted: Sep 10, 2021
Published online: Nov 10, 2021
Published in print: Mar 1, 2022
Discussion open until: Apr 10, 2022

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School of Economics and Management, Hebei Univ. of Technology, Tianjin 300401, China. Email: [email protected]
School of Economics and Management, Hebei Univ. of Technology, Tianjin 300401, China. Email: [email protected]
School of Economics and Management, Hebei Univ. of Technology, Tianjin 300401, China (corresponding author). Email: [email protected]

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