IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i1p346-d304127.html
   My bibliography  Save this article

Urban Vibrancy: An Emerging Factor that Spatially Influences the Real Estate Market

Author

Listed:
  • Alice Barreca

    (Architecture and Design Department, Politecnico di Torino, Castello del Valentino, Viale Mattioli 39, 10125 Torino, Italy)

  • Rocco Curto

    (Architecture and Design Department, Politecnico di Torino, Castello del Valentino, Viale Mattioli 39, 10125 Torino, Italy)

  • Diana Rolando

    (Architecture and Design Department, Politecnico di Torino, Castello del Valentino, Viale Mattioli 39, 10125 Torino, Italy)

Abstract

Urban vibrancy is defined and measured differently in the literature. Originally, it was described as the number of people in and around streets or neighborhoods. Now, it is commonly associated with activity intensity, the diversity of land-use configurations, and the accessibility of a place. The aim of this paper is to study urban vibrancy, its relationship with neighborhood services, and the real estate market. Firstly, it is used a set of neighborhood service variables, and a Principal Component Analysis is performed in order to create a Neighborhood Services Index (NeSI) that is able to identify the most and least vibrant urban areas of a city. Secondly, the influence of urban vibrancy on the listing prices of existing housing is analyzed by performing spatial analyses. To achieve this, the presence of spatial autocorrelation is investigated and spatial clusters are identified. Therefore, spatial autoregressive models are applied to manage spatial effects and to identify the variables that significantly influence the process of housing price determination. The results confirm that housing prices are spatially autocorrelated and highlight that housing prices and NeSI are statistically associated with each other. The identification of the urban areas characterized by different levels of vibrancy and housing prices can effectively support the revision of the urban development plan and its regulatory act, as well as strategic urban policies and actions. Such data analyses support a deep knowledge of the current status quo, which is necessary to drive important changes to develop more efficient, sustainable, and competitive cities.

Suggested Citation

  • Alice Barreca & Rocco Curto & Diana Rolando, 2020. "Urban Vibrancy: An Emerging Factor that Spatially Influences the Real Estate Market," Sustainability, MDPI, vol. 12(1), pages 1-23, January.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:1:p:346-:d:304127
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/1/346/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/1/346/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Isaac F. Megbolugbe & Marja C. Hoek-Smit & Peter D. Linneman, 1996. "Understanding Neighbourhood Dynamics: A Review of the Contributions of William G. Grigsby," Urban Studies, Urban Studies Journal Limited, vol. 33(10), pages 1779-1795, December.
    2. Kelejian, Harry H. & Prucha, Ingmar R., 2010. "Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
    3. Yong Tu & Hua Sun & Shi-Ming Yu, 2007. "Spatial Autocorrelations and Urban Housing Market Segmentation," The Journal of Real Estate Finance and Economics, Springer, vol. 34(3), pages 385-406, April.
    4. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
    5. Gillen, Kevin & Thibodeau, Thomas & Wachter, Susan, 2001. "Anisotropic Autocorrelation in House Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 23(1), pages 5-30, July.
    6. Mathew C. Schmidtlein & Roland C. Deutsch & Walter W. Piegorsch & Susan L. Cutter, 2008. "A Sensitivity Analysis of the Social Vulnerability Index," Risk Analysis, John Wiley & Sons, vol. 28(4), pages 1099-1114, August.
    7. Steven C. Bourassa & Eva Cantoni & Martin Hoesli, 2010. "Predicting House Prices with Spatial Dependence: A Comparison of Alternative Methods," Journal of Real Estate Research, American Real Estate Society, vol. 32(2), pages 139-160.
    8. Yuan, Feng & Wu, Jiawei & Wei, Yehua Dennis & Wang, Lei, 2018. "Policy change, amenity, and spatiotemporal dynamics of housing prices in Nanjing, China," Land Use Policy, Elsevier, vol. 75(C), pages 225-236.
    9. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    10. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    11. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    12. Steven Bourassa & Eva Cantoni & Martin Hoesli, 2007. "Spatial Dependence, Housing Submarkets, and House Price Prediction," The Journal of Real Estate Finance and Economics, Springer, vol. 35(2), pages 143-160, August.
    13. Luc Anselin & Arthur Getis, 2010. "Spatial Statistical Analysis and Geographic Information Systems," Advances in Spatial Science, in: Luc Anselin & Sergio J. Rey (ed.), Perspectives on Spatial Data Analysis, chapter 0, pages 35-47, Springer.
    14. Alice Barreca & Rocco Curto & Diana Rolando, 2018. "Housing Vulnerability and Property Prices: Spatial Analyses in the Turin Real Estate Market," Sustainability, MDPI, vol. 10(9), pages 1-20, August.
    15. Charlotta Mellander & José Lobo & Kevin Stolarick & Zara Matheson, 2015. "Night-Time Light Data: A Good Proxy Measure for Economic Activity?," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-18, October.
    16. Lynne Seymour, 2005. "Spatial Data Analysis: Theory and Practice. Robert Haining," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 353-354, March.
    17. Craig A Watkins, 2001. "The Definition and Identification of Housing Submarkets," Environment and Planning A, , vol. 33(12), pages 2235-2253, December.
    18. Charles C. Cartern & William J. Haloupek, 2000. "Spatial Autocorrelation in a Retail Context," International Real Estate Review, Global Social Science Institute, vol. 3(1), pages 34-48.
    19. Basu, Sabyasachi & Thibodeau, Thomas G, 1998. "Analysis of Spatial Autocorrelation in House Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 61-85, July.
    20. Rocco Curto & Elena Fregonara & Patrizia Semeraro, 2015. "Listing behaviour in the Italian real estate market," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 8(1), pages 97-117, March.
    21. Harry Haupt & Joachim Schnurbus & Rolf Tschernig, 2010. "On nonparametric estimation of a hedonic price function," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(5), pages 894-901.
    22. Leopoldo Catania & Anna Gloria Billé, 2017. "Dynamic spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(6), pages 1178-1196, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gavin R. McCormack & Autumn Nesdoly & Dalia Ghoneim & Tara-Leigh McHugh, 2020. "Realtors’ Perceptions of Social and Physical Neighborhood Characteristics Associated with Active Living: A Canadian Perspective," IJERPH, MDPI, vol. 17(23), pages 1-15, December.
    2. Alice Barreca & Elena Fregonara & Diana Rolando, 2021. "EPC Labels and Building Features: Spatial Implications over Housing Prices," Sustainability, MDPI, vol. 13(5), pages 1-21, March.
    3. Basu, Tirthankar & Das, Arijit, 2021. "Formulation of deprivation index for identification of regional pattern of deprivation in rural India," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
    4. Yisheng Peng & Jiahui Liu & Tianyao Zhang & Xiangyang Li, 2021. "The Relationship between Urban Population Density Distribution and Land Use in Guangzhou, China: A Spatial Spillover Perspective," IJERPH, MDPI, vol. 18(22), pages 1-19, November.
    5. Irene Rubino & Cristina Coscia & Rocco Curto, 2020. "Identifying Spatial Relationships between Built Heritage Resources and Short-Term Rentals before the Covid-19 Pandemic: Exploratory Perspectives on Sustainability Issues," Sustainability, MDPI, vol. 12(11), pages 1-22, June.
    6. Shoaib Khalid & Fariha Zameer, 2023. "Revisiting Urban Immovable Property Valuation: An Appraisal of Spatial Heterogeneities in Punjab Using Big Data (Article)," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 62(4), pages 493-520.
    7. Sijia Li & Chao Wu & Yu Lin & Zhengyang Li & Qingyun Du, 2020. "Urban Morphology Promotes Urban Vibrancy from the Spatiotemporal and Synergetic Perspectives: A Case Study Using Multisource Data in Shenzhen, China," Sustainability, MDPI, vol. 12(12), pages 1-24, June.
    8. Sidong Zhao & Kaixu Zhao & Ping Zhang, 2021. "Spatial Inequality in China’s Housing Market and the Driving Mechanism," Land, MDPI, vol. 10(8), pages 1-33, August.
    9. Yuan Lai & Jiatong Li & Jiachen Zhang & Lan Yan & Yifeng Liu, 2022. "Do Vibrant Places Promote Active Living? Analyzing Local Vibrancy, Running Activity, and Real Estate Prices in Beijing," IJERPH, MDPI, vol. 19(24), pages 1-19, December.
    10. Alice Barreca, 2022. "Architectural Quality and the Housing Market: Values of the Late Twentieth Century Built Heritage," Sustainability, MDPI, vol. 14(5), pages 1-24, February.
    11. Maria Rosa Trovato & Claudia Clienti & Salvatore Giuffrida, 2020. "People and the City: Urban Fragility and the Real Estate-Scape in a Neighborhood of Catania, Italy," Sustainability, MDPI, vol. 12(13), pages 1-37, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alice Barreca & Rocco Curto & Diana Rolando, 2018. "Housing Vulnerability and Property Prices: Spatial Analyses in the Turin Real Estate Market," Sustainability, MDPI, vol. 10(9), pages 1-20, August.
    2. Alice Barreca & Elena Fregonara & Diana Rolando, 2021. "EPC Labels and Building Features: Spatial Implications over Housing Prices," Sustainability, MDPI, vol. 13(5), pages 1-21, March.
    3. Rocco Curto & Elena Fregonara, 2019. "Monitoring and Analysis of the Real Estate Market in a Social Perspective: Results from the Turin’s (Italy) Experience," Sustainability, MDPI, vol. 11(11), pages 1-22, June.
    4. Julia Koschinsky & Nancy Lozano-Gracia & Gianfranco Piras, 2012. "The welfare benefit of a home’s location: an empirical comparison of spatial and non-spatial model estimates," Journal of Geographical Systems, Springer, vol. 14(3), pages 319-356, July.
    5. Trojanek, Radoslaw & Huderek-Glapska, Sonia, 2018. "Measuring the noise cost of aviation – The association between the Limited Use Area around Warsaw Chopin Airport and property values," Journal of Air Transport Management, Elsevier, vol. 67(C), pages 103-114.
    6. Juergen Deppner & Marcelo Cajias, 2024. "Accounting for Spatial Autocorrelation in Algorithm-Driven Hedonic Models: A Spatial Cross-Validation Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 68(2), pages 235-273, February.
    7. Füss, Roland & Koller, Jan A., 2016. "The role of spatial and temporal structure for residential rent predictions," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1352-1368.
    8. Mustafa Kahveci & Ernil Sabaj, 2017. "Determinant of Housing Rents in Urban Albania: An Empirical Hedonic Price Application with NSA Survey Data," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 5(2), pages 51-65.
    9. Arnab Bhattacharjee & Eduardo Castro & João Marques, 2012. "Spatial Interactions in Hedonic Pricing Models: The Urban Housing Market of Aveiro, Portugal," Spatial Economic Analysis, Taylor & Francis Journals, vol. 7(1), pages 133-167, March.
    10. Lehn, Friederike & Bahrs, Enno, 2018. "Analysis of factors influencing standard farmland values with regard to stronger interventions in the German farmland market," Land Use Policy, Elsevier, vol. 73(C), pages 138-146.
    11. Ida Ferrara & Stephen McComb & Paul Missios, 2007. "Local Willingness-to-Pay Estimates for the Remediation of the Sydney Tar Ponds in Nova Scotia," Canadian Public Policy, University of Toronto Press, vol. 33(4), pages 441-458, December.
    12. Paliska, Dejan & Drobne, Samo, 2020. "Impact of new motorway on housing prices in rural North-East Slovenia," Journal of Transport Geography, Elsevier, vol. 88(C).
    13. Monica Palma & Claudia Cappello & Sandra De Iaco & Daniela Pellegrino, 2019. "The residential real estate market in Italy: a spatio-temporal analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(5), pages 2451-2472, September.
    14. William Cheung & Lewen Guo & Yuichiro Kawaguchi, 2021. "Automated valuation model for residential rental markets: evidence from Japan," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-34, December.
    15. Bełej, Mirosław & Cellmer, Radosław & Foryś, Iwona & Głuszak, Michał, 2023. "Airports in the urban landscape: externalities, stigmatization and housing market," Land Use Policy, Elsevier, vol. 126(C).
    16. Pandit, Ram & Polyakov, Maksym & Sadler, Rohan, 2012. "The importance of tree cover and neighbourhood parks in determining urban property values," 2012 Conference (56th), February 7-10, 2012, Fremantle, Australia 124357, Australian Agricultural and Resource Economics Society.
    17. Tapsuwan, Sorada & Polyakov, Maksym & Bark, Rosalind & Nolan, Martin, 2015. "Valuing the Barmah–Millewa Forest and in stream river flows: A spatial heteroskedasticity and autocorrelation consistent (SHAC) approach," Ecological Economics, Elsevier, vol. 110(C), pages 98-105.
    18. repec:asg:wpaper:1006 is not listed on IDEAS
    19. Arnab Bhattacharjee & Eduardo Castro & Taps Maiti & João Marques, 2014. "Endogenous spatial structure and delineation of submarkets: A new framework with application to housing markets," SEEC Discussion Papers 1403, Spatial Economics and Econometrics Centre, Heriot Watt University.
    20. José Armando Cobián Álvarez & Budy P. Resosudarmo, 2019. "The cost of floods in developing countries’ megacities: a hedonic price analysis of the Jakarta housing market, Indonesia," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 21(4), pages 555-577, October.
    21. GLUMAC Brano & HERRERA-GOMEZ Marcos & LICHERON Julien, 2018. "A residential land price index for Luxembourg: Dealing with the spatial dimension," LISER Working Paper Series 2018-07, Luxembourg Institute of Socio-Economic Research (LISER).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:1:p:346-:d:304127. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.