Heterogeneity in Marginal Willingness to Pay for Urban Space Quality: A Case Study in Beijing
Publication: Journal of Urban Planning and Development
Volume 150, Issue 2
Abstract
This study evaluated urban space quality in Beijing using service quality and landscape quality based on points of interest (POI) data, street view data, and perception data derived from deep learning and then applied a hedonic price model (HPM) and a spatial lag model (SLM) to calculate people's heterogeneity marginal willingness to pay (MWTP) for urban space quality across categories, locations, and purchasers. The results showed that (1) people are willing to pay for urban space quality, especially urban landscape quality; however, the MWTP for urban space quality decreases as its distance from the main employment center increases; (2) the MWTP for urban space quality has an inverted u-shaped relationship, indicating that individuals with medium income exhibit a higher willingness to pay for urban space quality; and (3) urban space quality exhibits spatial spillover effects on individuals' MWTP in surrounding areas, with a spatial spillover boundary of approximately 22 km. Overall, this study provided important insights into quantifying the economic benefits of urban space quality and highlights the importance of considering different categories, locations, and purchasers when assessing urban space quality.
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Data Availability Statement
Some or all data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This study was supported by the National Social Science Foundation of China (23FJYB028), Hebei Province Social Sciences Development Project (20230102010) and the Chongqing Education Commission Humanities and Social Sciences Planning Foundation (21SKGH084). The authors wish to thank editor and reviewers for their insightful suggestions.
References
Ansari, M. W., and S. Sinha. 2020. “Comparative assessment of service quality of TPT modes in urban India.” Civ. Eng. Archit. 8 (6): 1436–1450. https://doi.org/10.13189/cea.2020.080626.
Anselin, L. 1988. “Spatial econometrics: Methods and models.” Econ. Geogr. 65 (2): 160–162. https://doi.org/10.1007/978-94-015-7799-1.
Azizi, H., M. Momeni, and M. Taghinia. 2011. “Quality of life indices assessment for disabled and elderly people: Case study of Tehran.” In Proc., 16th Annual Conf. Int. Group for Urban Planning and Regional Development in the Information Society. Austria: CORP – Competence Center of Urban and Regional Planning.
Ben, S., H. Zhu, J. Lu, and R. Wang. 2023. “Valuing the accessibility of green spaces in the housing market: A spatial hedonic analysis in Shanghai, China.” Land 12 (9): 1660. https://doi.org/10.3390/land12091660.
Beracha, E., B. T. Gilbert, T. Kjorstad, and K. Womack. 2016. “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.
Biao, Z., X. Gaodi, and Z. Canqiang. 2012. “The effects of public green spaces on residential property value in Beijing.” J. Resour. Ecol. 3 (3): 243–252. https://doi.org/10.5814/j.issn.1674-764x.2012.03.007.
Bonaiuto, M. 2004. “Residential satisfaction and perceived urban quality.” Encycl. Appl. Psychol. 3: 267–272. https://doi.org/10.1016/b0-12-657410-3/00698-x.
Carbonara, S., M. Faustoferri, and D. Stefano. 2021. “Real estate values and urban quality: A multiple linear regression model for defining an urban quality index.” Sustainability 13 (24): 13635. https://doi.org/10.3390/su132413635.
Cellmer, R. 2023. “Points of interest and housing prices.” Real Estate Manage. Valuat. 31 (1): 69–77. https://doi.org/10.2478/remav-2023-0007.
Chen, J., and Q. J. Hao. 2008. “The impacts of distance to CBD on housing prices in Shanghai: A hedonic analysis.” J. Chin. Econ. Bus. Stud. 6 (3): 291–302. https://doi.org/10.1080/14765280802283584.
Chin, T. L., and K. W. Chau. 2003. “A critical review of literature on the hedonic price model.” Int. J. Hous. Sci. Appl. 27 (2): 145–165.
Cui, N., and H. Gu. 2021. “Homeowner and renter payment for school quality in Beijing: Boundary fixed effect analysis with housing price–rent comparison.” J. Urban Plann. Dev. 147 (3): 05021025. https://doi.org/10.1061/(ASCE)UP.1943-5444.00007.
D’Acci, L. 2013. “Monetary, subjective and quantitative approaches to assess urban quality of life and pleasantness in cities (Hedonic price, willingness-to-pay, positional value, life satisfaction, isobenefit lines).” Social Indic. Res. 115 (2): 531–559. https://doi.org/10.1007/s11205-012-0221-7.
Dasgupta, R., M. Basu, S. Hashimoto, R. C. Estoque, P. Kumar, B. A. Johnson, B. K. Mitra, and P. Mitra. 2022. “Residents’ place attachment to urban green spaces in Greater Tokyo region: An empirical assessment of dimensionality and influencing socio-demographic factors.” Urban For. Urban Greening 67: 127438. https://doi.org/10.1016/j.ufug.2021.127438.
Ding, L., Z. W. Xu, L. You, and Z. Wu. 2022. “Assessing equal rights in obtaining urban public primary school services with case studies of Hangzhou in China.” Habitat Int. 119: 102474. https://doi.org/10.1016/j.habitatint.2021.102474.
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.
Fachrudin, H. T. 2020. “Urban quality measurement and it’s influence to sense of place.” IOP Conf. Ser.: Earth Environ. Sci. 452 (1): 012139. https://doi.org/10.1088/1755-1315/452/1/012139.
Fan, Q., J. A. Hansz, and X. Yang. 2016. “The pricing effects of open space amenities.” J. Real Estate Finance Econ. 52 (3): 244–271. https://doi.org/10.1007/s11146-015-9508-1.
Fu, X., T. Jia, X. Zhang, S. Li, and Y. Zhang. 2019. “Do street-level scene perceptions affect housing prices in Chinese megacities? An analysis using open access datasets and deep learning.” PLoS ONE 14 (5): e0217505. https://doi.org/10.1371/journal.pone.0217505.
Garau, C., and V. M. Pavan. 2018. “Evaluating urban quality: Indicators and assessment tools for smart sustainable cities.” Sustainability 10 (3): 575. https://doi.org/10.3390/su10030575.
Gavrilidis, A. A., C. M. Ciocanea, M. R. Niță, D. A. Onose, and I. I. Năstase. 2016. “Urban landscape quality index-planning tool for evaluating urban landscapes and improving the quality of life.” Procedia Environ. Sci. 32 (2016): 155–167. https://doi.org/10.1016/j.proenv.2016.03.020.
He, D. S., J. Miao, Y. Lu, Y. M. Song, L. Chen, and Y. Liu. 2022. “Urban greenery mitigates the negative effect of urban density on older adults’ life satisfaction: Evidence from Shanghai, China.” Cities 124: 103607. https://doi.org/10.1016/j.cities.2022.103607.
Ho, D. C., L. W. Lai, and A. Wang. 2020. “The effects of ‘publicness’ and quality of publicly accessible open space upon user satisfaction.” Environ. Plann. B: Urban Anal. City Sci. 48 (4): 861–879. https://doi.org/10.1177/2399808320903733.
Ho, H. C., M. S. Wong, L. Yang, W. Shi, J. Yang, M. Bilal, and T. Chan. 2018. “Spatiotemporal influence of temperature, air quality, and urban environment on cause-specific mortality during hazy days.” Environ. Int. 112: 10–22. https://doi.org/10.1016/j.envint.2017.12.001.
Ismail, W. A. W., and N. Dempsey. 2021. “Examining the concept of liveability in urban neighbourhoods in Iskandar Malaysia.” Enviro.-Behav. Proc. J. 6 (18): 285–292. https://doi.org/10.21834/ebpj.v6i18.3084.
Jiang, Y. Q., and G. L. Huang. 2022. “Urban residential quarter green space and life satisfaction.” Urban For. Urban Greening 69: 127510. https://doi.org/10.1016/j.ufug.2022.127510.
Jim, C. Y., and W. Y. Chen. 2006. “Impacts of urban environmental element on residential housing prices in Guangzhou (China).” Landscape Urban Plann. 78 (4): 422–434. https://doi.org/10.1016/j.landurbplan.2005.12.003.
Jim, C. Y., and W. Y. Chen. 2009. “Value of scenic views: Hedonic assessment of private housing in Hong Kong.” Landscape Urban Plann. 91 (4): 226–234. https://doi.org/10.1016/j.landurbplan.2009.01.009.
Jim, C. Y., and W. Y. Chen. 2010. “External effects of neighbourhood parks and landscape elements on high-rise residential value.” Land Use Policy 27 (2): 662–670. https://doi.org/10.1016/j.landusepol.2009.08.027.
Kang, Y., F. Zhang, S. Gao, W. Peng, and C. Ratti. 2021. “Human settlement value assessment from a place perspective: Considering human dynamics and perceptions in house price modeling.” Cities 118: 103333. https://doi.org/10.1016/j.cities.2021.103333.
Kim, D., and J. Jin. 2019. “The effect of land use on housing price and rent: Empirical evidence of job accessibility and mixed land use.” Sustainability 11 (3): 938. https://doi.org/10.3390/su11030938.
Kim, H.-G., K.-C. Hung, and S. Y. Park. 2014. “Determinants of housing prices in Hong Kong: A box-cox quantile regression approach.” J. Real Estate Finance Econ. 50 (2): 270–287. https://doi.org/10.1007/s11146-014-9456-1.
Knobel, P., R. Maneja, X. Bartoll, L. Alonso, M. Bauwelinck, A. Valentin, W. L. Zijlema, C. Borrell, M. J. Nieuwenhuijsen, and P. Dadvand. 2021. “Quality of urban green spaces influences residents’ use of these spaces, physical activity, and overweight/obesity.” Environ. Pollut. 271: 116393. https://doi.org/10.1016/j.envpol.2020.116393.
Łaszkiewicz, E., A. Heyman, X. W. Chen, Z. Cimburova, M. Nowell, and D. N. Barton. 2022. “Valuing access to urban greenspace using non-linear distance decay in hedonic property pricing.” Ecosyst. Serv. 53 (3): 101394. https://doi.org/10.1016/j.ecoser.2021.101394.
Lau, K. K.-L., C. C.-Y. Yung, and Z. Tan. 2021. “Usage and perception of urban green space of older adults in the high-density city of Hong Kong.” Urban For. Urban Greening 64: 127251. https://doi.org/10.1016/j.ufug.2021.127251.
Li, H., Y. D. Wei, 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, S. W., X. Y. Ye, J. Lee, J. F. Gong, and C. L. Qin. 2016. “Spatiotemporal analysis of housing prices in China: A big data perspective.” Appl. Spatial Anal. Policy 10 (3): 421–433. https://doi.org/10.1007/s12061-016-9185-3.
Li, J. and S. Zhang. 2022. “Research on Beijing residential convenience index based on point of interest.” [In Chinese.] J. Comput. Aided Des. Computer Graphics 156 33 (4): 609–615. https://doi.org/10.3724/SP.J.1089.2021.18539.
Li, X. Y., and S. Z. Liang. 2022. “Study on the impact of urban service facilities renewal on the heterogeneity housing prices: Taking Chengdu city as an example.” [In Chinese.] Sci. Technol. Ind. 22 (6): 315–320.
Liang, X. J., Y. Liu, T. L. Qiu, Y. Jing, and F. G. Fang. 2018. “The effects of locational factors on the housing prices of residential communities: The case of Ningbo, China.” Habitat Int. 81 (6): 1–11. https://doi.org/10.1016/j.habitatint.2018.09.004.
Liao, W.-C., and X. Wang. 2012. “Hedonic house prices and spatial quantile regression.” J. Hous. Econ. 21 (1): 16–27. https://doi.org/10.1016/j.jhe.2011.11.001.
Liu, G. W., X. Z. Wang, J. P. Gu, Y. Liu, and T. Zhou. 2019. “Temporal and spatial effects of a ‘Shan Shui’ landscape on housing price: A case study of Chongqing, China.” Habitat Int. 94 (61801): 102068. https://doi.org/10.1016/j.habitatint.2019.102068.
Liu, T. B., and Y. W. Chai. 2015. “Daily life circle reconstruction: A scheme for sustainable development in urban China.” Habitat Int. 50: 250–260. https://doi.org/10.1016/j.habitatint.2015.08.038.
Lotfi, S., and K. Solaimani. 2009. “An assessment of urban quality of life by using analytic hierarchy process approach (Case study: Comparative study of quality of life in the north of Iran).” J. Social Sci. 5 (2): 123–133. https://doi.org/10.3844/jssp.2009.123.133.
Mahmoudi, P., D. Hatton MacDonald, N. D. Crossman, D. M. Summers, and J. van der Hoek. 2012. “Space matters: The importance of amenity in planning metropolitan growth.” Aust. J. Agric. Resour. Econ. 57 (1): 38–59. https://doi.org/10.1111/j.1467-8489.2012.00608.x.
Mao, Y., F. Fornara, S. Manca, M. Bonnes, and M. Bonaiuto. 2015. “Perceived residential environment quality indicators and neighborhood attachment: A confirmation study on a Chinese sample in Chongqing.” PsyCh J. 4 (3): 123–137. https://doi.org/10.1002/pchj.90.
Mouratidis, K. 2020. “Commute satisfaction, neighborhood satisfaction, and housing satisfaction as predictors of subjective well-being and indicators of urban livability.” Travel Behav. Society 21: 265–278. https://doi.org/10.1016/j.tbs.2020.07.006.
Mulligan, G. F., J. I. Carruthers, and M. E. Cahill. 2005. “Urban quality of life and public policy: A survey.” Contrib. Econ. Anal. 266: 729–802. https://doi.org/10.1016/s0573-8555(04)66023-8.
Nikoofam, M., and A. Mobaraki. 2020. “Assessment of quality of life in the urban environment: Case study: Famagusta, N. Cyprus.” Civ. Eng. Archit. 8 (5): 860–872. https://doi.org/10.13189/cea.2020.080513.
Pan, W., J. Wang, Z. Lu, Y. Liu, and Y. Li. 2021. “High-quality development in China: Measurement system, spatial pattern, and improvement paths.” Habitat Int. 118: 102458. https://doi.org/10.1016/j.habitatint.2021.102458.
Patil, G. R., and G. Sharma. 2020. “Urban quality of life: An assessment and ranking for Indian cities.” Transp. Policy 124: 183–191. https://doi.org/10.1016/j.tranpol.2020.11.009.
Qiu, L. J., D. M. Guo, X. K. Zhao, and W. Z. Zhang. 2020. “The value of school in urban China: A spatial quantile regression with housing transactions in Beijing.” Appl. Econ. 52 (20): 2135–2146. https://doi.org/10.1080/00036846.2019.1683146.
Qiu, R. X., Y. Q. Qiu, Q. F. Chen, and C. H. Cao. 2021. “Study on spatial distribution differences of public service facilities in Chengdu living area-based on POI data of Chengdu city.” [In Chinese.] Beijing: Urban Planning Society of China. https://doi.org/10.26914/c.cnkihy.2021.024449.
Rappaport, J. 2008. “Consumption amenities and city population density.” Reg. Sci. Urban Econ. 38 (6): 533–552. https://doi.org/10.1016/j.regsciurbeco.2008.02.001.
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.
Shoja, S., S. Salehi, and R. Ansari. 2015. “Subjective assessment of urban quality of life indices, case study: Yazd, 2011–2012.” Armanshahr Archit. Urban Dev. 8 (14): 165–175.
Soltani, A., N. Zali, R. Mirzaei, M. S. Heydari, A. Rahimi, and A. Hamidi. 2023. “Multilevel impacts of urban amenities on housing price in Tehran, Iran.” J. Urban Plan. Dev. 149 (4): 05023028. https://doi.org/10.1061/JUPDDM.UPENG-4434.
Song, W., and C. Liu. 2018. “The price differentiation mechanism of commercial housing in the Yangtze river delta.” Geog. Res. 37 (1): 92–102.
Wang, J. S., and G. H. Li. 2022. “Pursuing educational equality and divergence in the housing market: How do educational equality policies affect housing prices in Shanghai?” Cities 131: 104001. https://doi.org/10.1016/j.cities.2022.104001.
Wang, X. X., and M. J. Xu. 2009. “The relationship between urban development and housing prices in China.” Asia Pac. J. Social Work Dev. 19 (2): 83–94. https://doi.org/10.1080/21650993.2009.9756065.
Wen, H. Z., X. Q. Bu, and Z. F. Qin. 2014. “Spatial effect of lake landscape on housing price: A case study of the West Lake in Hangzhou, China.” Habitat Int. 44 (2): 31–40. https://doi.org/10.1016/j.habitatint.2014.05.001.
Wen, H. Z., Y. L. Jin, and L. Zhang. 2017. “Spatial heterogeneity in implicit housing prices: Evidence from Hangzhou, China.” Int. J. Strategic Prop. Manage. 21 (1): 15–28. https://doi.org/10.3846/1648715X.2016.1247021.
Wen, H. Z., S. Y. Li, E. Hui, S. J. Jia, and W. J. Cui. 2021. “Purchase motivation, landscape preference, and housing prices: Quantile hedonic analysis in Guangzhou, China.” J. Urban Plann. Dev. 147 (3): 04021033. https://doi.org/10.1061/(asce)up.1943-5444.0000734.
Wu, C., Y. Du, S. Li, P. Liu, and X. Ye. 2022. “Does visual contact with green space impact housing prices? An integrated approach of machine-learning and hedonic modelling based on perception of green space.” Land Use Policy 115C: 106048. https://doi.org/10.1016/j.landusepol.2022.106048.
Wu, J., M. Wang, W. Li, J. Peng, and L. Huang. 2015. “Impact of urban green space on residential housing prices: Case study in Shenzhen.” J. Urban Plann. Dev. 141 (4): 05014023. https://doi.org/10.1061/(asce)up.1943-5444.0000241.
Xiang, L., M. Cai, C. Ren, and E. Ng. 2021. “Modeling pedestrian emotion in high-density cities using visual exposure and machine learning: Tracking real-time physiology and psychology in Hong Kong.” Build. Environ. 205: 108273. https://doi.org/10.1016/j.buildenv.2021.108273.
Yang, L., K. W. Chau, and X. Wang. 2019. “Are low-end housing purchasers more willing to pay for access to basic public services? Evidence from China.” Res. Transp. Econ. 76: 100734. https://doi.org/10.1016/j.retrec.2019.06.001.
Zhan, D., M. Kwan, W. Zhang, C. Xie, and J. Zhang. 2021. “Impact of the quality of urban settlements on housing prices in China.” Landscape Urban Plann. 147: 05021044. https://doi.org/10.1061/(ASCE)UP.1943-5444.00007.
Zhang, C., S. Chen, and Z. M. Lan. 2022a. “Quality of place and regional innovation: Direct impact, spillover effects and spatial differences.” [In Chinese.] China Soft Sci. 7: 82–93. https://doi.org/10.3969/j.issn.1002-9753.2022.07.008.
Zhang, C., M. Xiong, Z. Lan, and X. H. Wei. 2023a. “Leave or stay? Heterogeneous impacts of air quality on intercity migration in China.” Asia Pac. J. Reg. Sci. 7 (4): 1169–1190. https://doi.org/10.1007/s41685-023-00303-9.
Zhang, C., M. Xiong, and X. H. Wei. 2022b. “Influence of accessibility to urban service amenities on housing prices: Evidence from Beijing.” J. Urban Plann. Dev. 148 (1): 05021063. https://doi.org/10.1061/(asce)up.1943-5444.0000795.
Zhang, C., M. Xiong, X. Wei, and Z. Lan. 2023b. “Spatial heterogeneity of marginal willingness to pay for air quality in PM2.5: Analysis of buyers’ housing price in Beijing through hedonic price, spatial regression, and quantile regression models.” Asia Pac. J. Reg. Sci. 7 (3): 697–720. https://doi.org/10.1007/s41685-023-00290-x.
Zhang, F., B. Zhou, L. Liu, Y. Liu, H. H. Fung, H. Lin, and C. Ratti. 2018. “Measuring human perceptions of a large-scale urban region using machine learning.” Landscape Urban Plann. 180: 148–160. https://doi.org/10.1016/j.landurbplan.2018.08.020.
Zhang, H. Y., J. Chen, and Z. Wang. 2021a. “Spatial heterogeneity in spillover effect of air pollution on housing prices: Evidence from China.” Cities : 103145. https://doi.org/10.1016/j.cities.2021.103145.
Zhang, M. M., J. H. He, D. F. Liu, J. L. Huang, Q. B. Yue, and Y. J. Li. 2022c. “Urban green corridor construction considering daily life circles: A case study of Wuhan city, China.” Ecol. Eng. 184: 106786. https://doi.org/10.1016/j.ecoleng.2022.106786.
Zhang, Y., T. Zhang, Y. Zeng, C. Yu, and S. Zheng. 2021b. “The rising and heterogeneous demand for urban green space by Chinese urban residents: Evidence from Beijing.” J. Cleaner Prod. 313: 127781. https://doi.org/10.1016/j.jclepro.2021.127781.
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.
Zhou, K., Y. Song, and R. Tan. 2021. “Public perception matters: Estimating homebuyers’ willingness to pay for urban park quality.” Urban For. Urban Greening 64: 127275. https://doi.org/10.1016/j.ufug.2021.127275.
Zhu, W., J. Wang, and B. Qin. 2021. “Quantity or quality? Exploring the association between public open space and mental health in urban China.” Landscape Urban Plann. 213: 104128. https://doi.org/10.1016/j.landurbplan.2021.104128.
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Journal of Urban Planning and Development
Volume 150 • Issue 2 • June 2024
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© 2024 American Society of Civil Engineers.
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Received: Apr 19, 2023
Accepted: Dec 29, 2023
Published online: Mar 22, 2024
Published in print: Jun 1, 2024
Discussion open until: Aug 22, 2024
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