Abstract
Mixed land use is widely practiced yet needs to be understood regarding its spatially-differentiated patterns and implications over time. This study builds a framework considering both the degree and dominant type, incorporates them into the traditional and geographically weighted hedonic price models, and conducts an empirical analysis in Qingdao, China. We found that: (1) In a global sense, the degree of mixed land use has a significant positive impact on housing prices. The influence of the “commercial-service-dominated” (Bdominate) is negative, and that of the “public-commercial-balanced” (ABdominate) type is worse. (2) When considering spatial autocorrelation, the degree shows a negative effect on average, with the effect of dominant types varying spatially. (3) Following the direction of development sequences, the districts and counties can be categorized into four types. The overall degree of mixed land use decreases while its effect on housing prices increases and decreases, and the negative effects of Bdominate and ABdominate types on housing prices also increase and decrease. The framework for studying mixed land use can be applied in other areas, and the insights on different dominant types and spatial variances are helpful in guiding planning practices.
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Data Availability
The data used in this study is available upon request.
Notes
The percentages are based on the survey data of land use (2019) and the statistics yearbook (2020).
The data of land use is investigated around December 2019, POI data is obtained in October 2021 and the OSM data is obtained in August 2021.
References
Abdullahi, S., Pradhan, B., Mansor, S., & Shariff, A. R. M. (2015). GIS-based modeling for the spatial measurement and evaluation of mixed land use development for a compact city. Giscience & Remote Sensing, 52(1), 18–39. https://doi.org/10.1080/15481603.2014.993854
Anselin, L., & Lozano-Gracia, N. (2008). Errors in variables and spatial effects in hedonic house price models of ambient air quality. Empirical Economics, 34(1), 5–34. https://doi.org/10.1007/s00181-007-0152-3
Baltagi, B. H., & Bresson, G. (2011). Maximum likelihood estimation and Lagrange multiplier tests for panel seemingly unrelated regressions with spatial lag and spatial errors: An application to hedonic housing prices in Paris. Journal of Urban Economics, 69(1), 24–42. https://doi.org/10.1016/j.jue.2010.08.007
Bordoloi, R., Mote, A., Sarkar, P. P., & Mallikarjuna, C. (2013). Quantification of land use diversity in the context of mixed land use. Procedia-Social and Behavioral Sciences, 104, 563–572. https://doi.org/10.1016/j.sbspro.2013.11.150
Chen, Y. G., & Liu, J. S. (2001). An index of equilibrium of urban land-use structure and information dimension of urban form. Geographical Research, 20(2), 146–152. https://doi.org/10.3321/j.issn:1000-0585.2001.02.003
Comer, D., & Greene, J. S. (2015). The development and application of a land use diversity index for Oklahoma City, OK. Applied Geography, 60, 46–57. https://doi.org/10.1016/j.apgeog.2015.02.015
Dong, Z., Hui, E. C., & Jia, S. (2017). How does housing price affect consumption in China: Wealth effect or substitution effect? Cities, 64, 1–8. https://doi.org/10.1016/j.cities.2017.01.006
Duan, J., Tian, G., Yang, L., & Zhou, T. (2021). Addressing the macroeconomic and hedonic determinants of housing prices in Beijing Metropolitan Area China. Habitat International, 113, 102374. https://doi.org/10.1016/j.habitatint.2021.102374
Ellis, C. (2002). The new urbanism: Critiques and rebuttals. Journal of Urban Design, 7(3), 261–291. https://doi.org/10.1080/1357480022000039330
Ghosh, P. (2017). Mixed Land Use Practices and Implications. International Journal of Scientific Development and Research (IJSDR), 2(9), 1–8.
Grant, J. (2002). Mixed use in theory and practice: Canadian experience with implementing a planning principle. Journal of the American Planning Association, 68(1), 71–84. https://doi.org/10.1080/01944360208977192
Gu, D., Newman, G., Kim, J. H., Park, Y., & Lee, J. (2019). Neighborhood decline and mixed land uses: Mitigating housing abandonment in shrinking cities. Land Use Policy, 83, 505–511. https://doi.org/10.1016/j.landusepol.2019.02.033
Herndon, J. (2011). Mixed-use development in theory and practice: Learning from Atlanta’s mixed experiences (Applied research paper). Georgia: Georgia Institute of Technology College of Engineering.
Heyman, A. V., Law, S., & Berghauser Pont, M. (2018). How is location measured in housing valuation? A systematic review of accessibility specifications in hedonic price models. Urban Science, 3(1), 3. https://doi.org/10.3390/urbansci3010003
Hoppenbrouwer, E., & Louw, E. (2005). Mixed-use development: Theory and practice in Amsterdam’s Eastern Docklands. European Planning Studies, 13(7), 967–983. https://doi.org/10.1080/09654310500242048
Jacobs, J. (1961). The death and life of great American cities: the failure of town planning. London Pimlico, 100–135.
Kong, H., Sui, D. Z., Tong, X., & Wang, X. (2015). Paths to mixed-use development: A case study of Southern Changping in Beijing, China. Cities, 44, 94–103. https://doi.org/10.1016/j.cities.2015.01.003
Lancaster, K. J. (1966). A new approach to consumer theory. Journal of Political Economy, 74(2), 132–157. https://doi.org/10.1086/259131
Li, Q. Y., Fang, C. L., Li, G. D., & Ren, Z. P. (2015). Quantitative measurement of urban expansion and its driving factors in Qingdao: An empirical analysis based on county unit data. Journal of Resources and Ecology, 6(3), 172–179.
Li, Z., Fotheringham, A. S., Li, W., & Oshan, T. (2019). Fast Geographically Weighted Regression (FastGWR): A scalable algorithm to investigate spatial process heterogeneity in millions of observations. International Journal of Geographical Information Science, 33(1), 155–175. https://doi.org/10.1080/13658816.2018.1521523
Lotteau, M., Loubet, P., Pousse, M., Dufrasnes, E., & Sonnemann, G. (2015). Critical review of life cycle assessment (LCA) for the built environment at the neighborhood scale. Building and Environment, 93, 165–178. https://doi.org/10.1016/j.buildenv.2015.06.029
Lu, J. (2018). The value of a south-facing orientation: A hedonic pricing analysis of the Shanghai housing market. Habitat International, 81, 24–32. https://doi.org/10.1016/j.habitatint.2018.09.002
Majewska, A., Denis, M., & Krupowicz, W. (2020). Urbanization Chaos of suburban small cities in Poland:‘Tetris development.’ Land, 9(11), 461. https://doi.org/10.3390/land9110461
Matthews, J. W., & Turnbull, G. K. (2007). Neighborhood street layout and property value: The interaction of accessibility and land use mix. The Journal of Real Estate Finance and Economics, 35(2), 111–141. https://doi.org/10.1007/s11146-007-9035-9
Nabil, N. A., & AbdEldayem, G. E. (2015). Influence of mixed land-use on realizing the social capital. HBRC Journal, 11(2), 285–298. https://doi.org/10.1016/j.hbrcj.2014.03.009
Nepal, M., Rai, R. K., Khadayat, M. S., & Somanathan, E. (2020). Value of cleaner neighborhoods: Application of hedonic price model in low income context. World Development, 131, 104965.
Raman, R., & Roy, U. K. (2019). Taxonomy of urban mixed land use planning. Land Use Policy, 88, 104102. https://doi.org/10.1016/j.landusepol.2019.104102
Randeniya, T. D., Ranasinghe, G., & Amarawickrama, S. (2017). A model to estimate the implicit values of housing attributes by applying the hedonic pricing method. International Journal of Built Environment and Sustainability, 4(2). https://doi.org/10.11113/ijbes.v4.n2.182
Rowley, A. (1996). Mixed-use development: Ambiguous concept, simplistic analysis and wishful thinking? Planning Practice & Research, 11(1), 85–98. https://doi.org/10.1080/02697459650036477
Seong, E. Y., Lee, N. H., & Choi, C. G. (2021). Relationship between land use mix and walking choice in high-density cities: A review of walking in Seoul South Korea. Sustainability, 13(2), 810. https://doi.org/10.3390/su13020810
Shen T. Y., Yu, H. C., Zhou, L., Gu, H. Y., & He, H. H. (2020). On Hedonic Price of Second-Hand Houses in Beijing Based on Multi-Scale Geographically Weighted Regression: Scale Law of Spatial Heterogeneity. Economic Geography, 40(3), 75–83. https://doi.org/10.15957/j.cnki.jjdl.2020.03.009
Shi, B., & Yang, J. (2015). Scale, distribution, and pattern of mixed land use in central districts: A case study of Nanjing, China. Habitat International, 46, 166–177. https://doi.org/10.1016/j.habitatint.2014.11.008
Shi, H., Zhao, M., & Chi, B. (2021). Behind the land use mix: Measuring the functional compatibility in urban and sub-urban areas of China. Land, 11(1), 2. https://doi.org/10.3390/land11010002
Sohn, D. W. (2016). Do all commercial land uses deteriorate neighborhood safety? Examining the relationship between commercial land-use mix and residential burglary. Habitat International, 55, 148–158. https://doi.org/10.1016/j.habitatint.2016.03.007
Song, Y., & Knaap, G. J. (2004). Measuring the effects of mixed land uses on housing values. Regional Science and Urban Economics, 34(6), 663–680. https://doi.org/10.1016/j.regsciurbeco.2004.02.003
Stead, D., & Hoppenbrouwer, E. C. (2004). Promoting an urban renaissance in England and the Netherlands. Cities, 21(2), 119–136. https://doi.org/10.1016/j.cities.2004.01.005
Tong, D., Wang, X., Wu, L., & Zhao, N. (2018). Land ownership and the likelihood of land development at the urban fringe: The case of Shenzhen, China. Habitat International, 73, 43–52. https://doi.org/10.1016/j.habitatint.2017.12.011
Van Cao, T., & Cory, D. C. (1982). Mixed land uses, land-use externalities, and residential property values: A reevaluation. The Annals of Regional Science, 16(1), 1–24. https://doi.org/10.1007/BF01287403
Wang, L., Kundu, R., & Chen, X. (2010). Building for what and whom? New town development as planned suburbanization in China and India. In Suburbanization in global society (Vol. 10, pp. 319–345). Emerald Group Publishing Limited. https://doi.org/10.1108/S1047-0042(2010)0000010016
Wang, Y., Wu, K., Zhao, Y., Wang, C., & Zhang, H. O. (2022). Examining the Effects of the Built Environment on Housing Rents in the Pearl River Delta of China. Applied Spatial Analysis and Policy, 15(1), 289–313. https://doi.org/10.1007/s12061-021-09412-4
Wo, J. C. (2019). Mixed land use and neighborhood crime. Social Science Research, 78, 170–186. https://doi.org/10.1016/j.ssresearch.2018.12.010
Wo, J. C., & Kim, Y. A. (2022). Neighborhood effects on crime in San Francisco: An examination of residential, nonresidential, and “mixed” land uses. Deviant Behavior 43(1), 61–78. https://doi.org/10.1080/01639625.2020.1779988
Wu, J., Song, Y., Liang, J., Wang, Q., & Lin, J. (2018). Impact of mixed land use on housing values in high-density areas: Evidence from Beijing. Journal of Urban Planning and Development, 144(1), 05017019. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000422
Wu, W., Chen, W. Y., Yun, Y., Wang, F., & Gong, Z. (2022). Urban greenness, mixed land-use, and life satisfaction: Evidence from residential locations and workplace settings in Beijing. Landscape and Urban Planning, 224, 104428. https://doi.org/10.1016/j.landurbplan.2022.104428
Xiao, Y. (2017). Hedonic housing price theory review. In Urban morphology and housing market (pp. 11–40). Springer, Singapore.
Xiao, Y., Hui, E. C., & Wen, H. (2019). Effects of floor level and landscape proximity on housing price: A hedonic analysis in Hangzhou, China. Habitat International, 87, 11–26. https://doi.org/10.1016/j.habitatint.2019.03.008
Yang, H., Fu, M., Wang, L., & Tang, F. (2021). Mixed land use evaluation and its impact on housing prices in Beijing based on multi-source big data. Land, 10(10), 1103. https://doi.org/10.3390/land10101103
Ye, Y., & Zhuang, Y. (2017). A hypothesis of urban morphogenesis and urban vitality in newly built-up areas: Analyses based on street accessibility, building density and functional mixture. Urban Planning International, 32(2), 43–49. https://doi.org/10.22217/upi.2016.562
Yue, Y., Zhuang, Y., Yeh, A. G., Xie, J. Y., Ma, C. L., & Li, Q. Q. (2017). Measurements of POI-based mixed use and their relationships with neighbourhood vibrancy. International Journal of Geographical Information Science, 31(4), 658–675. https://doi.org/10.1080/13658816.2016.1220561
Zhang, M., & Zhao, P. (2017). The impact of land-use mix on residents’ travel energy consumption: New evidence from Beijing. Transportation Research Part d: Transport and Environment, 57, 224–236. https://doi.org/10.1016/j.trd.2017.09.020
Zhang, Y., & Dong, R. (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 International Journal of Geo-Information, 7(3), 104. https://doi.org/10.3390/ijgi7030104
Zheng, H. Y., Huang, J. H., Zhuo, Y. F., & Xu, Z. G. (2019). Research Progress on the Measurement of Mixed Land Use. China Land Science, 33(3), 95–104. https://doi.org/10.11994/zgtdkx.20190219.163347
Zheng, H. Y., Wu, C. F., Zheng, S., Zhuo, Y. F., & Zhang, Q. (2016). The Spatial Consistency between Compact City and Mixed Land Use Development: A Case Study of Shanghai. China Land Sciences, 30(4), 35–42. CNKI:SUN:ZTKX.0.2016–04–005
Zhuo, Y., Zheng, H., Wu, C., Xu, Z., Li, G., & Yu, Z. (2019). Compatibility mix degree index: A novel measure to characterize urban land use mix pattern. Computers, Environment and Urban Systems, 75, 49–60. https://doi.org/10.1016/j.compenvurbsys.2019.01.005
Acknowledgements
This research was funded by the National Natural Science Foundation of China under Grant Number 41771176 and the PEAK Urban Program supported by UKRI’s Global Challenge Research Fund under Grant Number ES/P011055/1. The authors would like to express their gratitude to Professor Jilei Wu of the Institute of Population Studies, Peking University, for his advice on the technical part of this study.
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Gao, Y., Feng, C. Impact of Mixed Land Use on Housing Prices, Spatial Differentiation and Implications: Empirical Analysis Based on Qingdao. Appl. Spatial Analysis 16, 1345–1370 (2023). https://doi.org/10.1007/s12061-023-09514-1
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DOI: https://doi.org/10.1007/s12061-023-09514-1