IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i15p9107-d871184.html
   My bibliography  Save this article

Intermediate Effect of the COVID-19 Pandemic on Prices of Housing near Light Rail Transit: A Case Study of the Portland Metropolitan Area

Author

Listed:
  • Sangwan Lee

    (Department of Urban Planning and Engineering, Hanyang University, 206, Wangsimni-ro, Seongdong-gu, Seoul 04763, Korea)

  • Liming Wang

    (Nohad A. Toulan School of Urban Studies and Planning, Portland State University, 506 SW Mill Street, Portland, OR 97201, USA)

Abstract

This study explored the dynamics of a residential property value premium for proximity to a light rail transit (LRT) station in the intermediate term (roughly two years) since the pandemic. We applied a longitudinal quasi-experimental design using repeat sales data from the Portland Metropolitan Area, Oregon. Our results indicate that the effect of the pandemic on prices of housing near LRT stations differs between single-family and multi-family markets. Since the pandemic outbreak, there has been no statically significant difference in the price appreciation between single-family (SF) housing within an LRT service area and otherwise similar SF homes; however, for multi-family (MF) homes, those within an LRT service area have experienced a 3.0% lower price appreciation rate than MFs outside such areas with similar characteristics. Our findings help better highlight the impact of the pandemic on the real estate market and can inform discussions about longer-term changes in post-COVID cities and their planning.

Suggested Citation

  • Sangwan Lee & Liming Wang, 2022. "Intermediate Effect of the COVID-19 Pandemic on Prices of Housing near Light Rail Transit: A Case Study of the Portland Metropolitan Area," Sustainability, MDPI, vol. 14(15), pages 1-17, July.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9107-:d:871184
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/15/9107/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/15/9107/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kyeongsu Kim & Michael L. Lahr, 2014. "The impact of Hudson-Bergen Light Rail on residential property appreciation," Papers in Regional Science, Wiley Blackwell, vol. 93, pages 79-97, November.
    2. Dongfang Zhang & Jingjuan Jiao, 2019. "How Does Urban Rail Transit Influence Residential Property Values? Evidence from An Emerging Chinese Megacity," Sustainability, MDPI, vol. 11(2), pages 1-16, January.
    3. Amarin Siripanich & Taha Hossein Rashidi & Emily Moylan, 2019. "Interaction of Public Transport Accessibility and Residential Property Values Using Smart Card Data," Sustainability, MDPI, vol. 11(9), pages 1-24, May.
    4. Qisheng Pan, 2013. "The impacts of an urban light rail system on residential property values: a case study of the Houston METRORail transit line," Transportation Planning and Technology, Taylor & Francis Journals, vol. 36(2), pages 145-169, April.
    5. Delores Conway & Christina Li & Jennifer Wolch & Christopher Kahle & Michael Jerrett, 2010. "A Spatial Autocorrelation Approach for Examining the Effects of Urban Greenspace on Residential Property Values," The Journal of Real Estate Finance and Economics, Springer, vol. 41(2), pages 150-169, August.
    6. He, Sylvia Y., 2020. "Regional impact of rail network accessibility on residential property price: Modelling spatial heterogeneous capitalisation effects in Hong Kong," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 244-263.
    7. James P. Lesage, 2008. "An Introduction to Spatial Econometrics," Revue d'économie industrielle, De Boeck Université, vol. 0(3), pages 19-44.
    8. Luyu Liu & Harvey J Miller & Jonathan Scheff, 2020. "The impacts of COVID-19 pandemic on public transit demand in the United States," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-22, November.
    9. Bhat, Chandra R. & Gossen, Rachel, 2004. "A mixed multinomial logit model analysis of weekend recreational episode type choice," Transportation Research Part B: Methodological, Elsevier, vol. 38(9), pages 767-787, November.
    10. Liu, Sitian & Su, Yichen, 2021. "The impact of the COVID-19 pandemic on the demand for density: Evidence from the U.S. housing market," Economics Letters, Elsevier, vol. 207(C).
    11. Yan, Sisi & Delmelle, Eric & Duncan, Michael, 2012. "The impact of a new light rail system on single-family property values in Charlotte, North Carolina," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 5(2), pages 60-67.
    12. Rebecca Brough & Matthew Freedman & David C. Phillips, 2021. "Understanding socioeconomic disparities in travel behavior during the COVID‐19 pandemic," Journal of Regional Science, Wiley Blackwell, vol. 61(4), pages 753-774, September.
    13. Gehrke, Steven R. & Wang, Liming, 2020. "Operationalizing the neighborhood effects of the built environment on travel behavior," Journal of Transport Geography, Elsevier, vol. 82(C).
    14. Sun, Weizeng & Zheng, Siqi & Wang, Rui, 2015. "The capitalization of subway access in home value: A repeat-rentals model with supply constraints in Beijing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 104-115.
    15. Casey Dawkins & Rolf Moeckel, 2016. "Transit-Induced Gentrification: Who Will Stay, and Who Will Go?," Housing Policy Debate, Taylor & Francis Journals, vol. 26(4-5), pages 801-818, September.
    16. Landis, John & Guhathakurta, Subhrajit & Huang, William & Zhang, Ming, 1995. "Rail Transit Investments, Real Estate Values, and Land Use Change: A Comparative Analysis of Five California Rail Transit Systems," University of California Transportation Center, Working Papers qt2hf9s9sr, University of California Transportation Center.
    17. Bowes, David R. & Ihlanfeldt, Keith R., 2001. "Identifying the Impacts of Rail Transit Stations on Residential Property Values," Journal of Urban Economics, Elsevier, vol. 50(1), pages 1-25, July.
    18. Zhang, Lei & Yi, Yimin, 2017. "Quantile house price indices in Beijing," Regional Science and Urban Economics, Elsevier, vol. 63(C), pages 85-96.
    19. Claudio A. Agostini & Gastón A. Palmucci, 2008. "The Anticipated Capitalisation Effect of a New Metro Line on Housing Prices," Fiscal Studies, Institute for Fiscal Studies, vol. 29(2), pages 233-256, June.
    20. Pearson, Jonathan & Muldoon-Smith, Kevin & Liu, Henry & Robson, Simon, 2022. "How does the extension of existing transport infrastructure affect land value? A case study of the Tyne and Wear Light Transit Metro system," Land Use Policy, Elsevier, vol. 112(C).
    21. Dong, Hongwei, 2017. "Rail-transit-induced gentrification and the affordability paradox of TOD," Journal of Transport Geography, Elsevier, vol. 63(C), pages 1-10.
    22. McIntosh, James & Trubka, Roman & Newman, Peter, 2014. "Can value capture work in a car dependent city? Willingness to pay for transit access in Perth, Western Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 320-339.
    23. William Alonso, 1960. "A Theory Of The Urban Land Market," Papers in Regional Science, Wiley Blackwell, vol. 6(1), pages 149-157, January.
    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. Yuchen Qin & Yikang Zhang & Minfeng Yao & Qiwei Chen, 2023. "How to Measure the Impact of Walking Accessibility of Suburban Rail Station Catchment Areas on the Commercial Premium Benefits of Joint Development," Sustainability, MDPI, vol. 15(6), pages 1-29, March.

    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. Sangwan Lee, 2022. "An In-Depth Understanding of the Residential Property Value Premium of a Bikesharing Service in Portland, Oregon," Land, MDPI, vol. 11(9), pages 1-16, August.
    2. Shadi O. Tehrani & Shuling J. Wu & Jennifer D. Roberts, 2019. "The Color of Health: Residential Segregation, Light Rail Transit Developments, and Gentrification in the United States," IJERPH, MDPI, vol. 16(19), pages 1-19, September.
    3. Zhong, Haotian & Li, Wei, 2016. "Rail transit investment and property values: An old tale retold," Transport Policy, Elsevier, vol. 51(C), pages 33-48.
    4. Schmidt, Adam & Bardaka, Eleni & Thill, Jean-Claude, 2022. "Causal, spatiotemporal impacts of transit investments: Exploring spatial heterogeneity from announcement through long-run operation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 161(C), pages 151-169.
    5. Haizhen Wen & Zaiyuan Gui & Chuanhao Tian & Yue Xiao & Li Fang, 2018. "Subway Opening, Traffic Accessibility, and Housing Prices: A Quantile Hedonic Analysis in Hangzhou, China," Sustainability, MDPI, vol. 10(7), pages 1-23, June.
    6. Diao, Mi & Leonard, Delon & Sing, Tien Foo, 2017. "Spatial-difference-in-differences models for impact of new mass rapid transit line on private housing values," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 64-77.
    7. AlQuhtani, Saad & Anjomani, Ardeshir, 2019. "Do rail transit stations affect housing value changes? The Dallas Fort-Worth metropolitan area case and implications," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    8. Devaux, Nicolas & Dubé, Jean & Apparicio, Philippe, 2017. "Anticipation and post-construction impact of a metro extension on residential values: The case of Laval (Canada), 1995–2013," Journal of Transport Geography, Elsevier, vol. 62(C), pages 8-19.
    9. Aliyu Ahmad Aliyu & Olurotimi Adebowale Kemiki & Muhammad Umar Bello, 2018. "Analysis of Current Empirical Studies on Transport Value-Added Effect and Proximate Housing Price Capture," Traektoriâ Nauki = Path of Science, Altezoro, s.r.o. & Dialog, vol. 4(12), pages 1001-1020, December.
    10. Saad AlQuhtani & Ardeshir Anjomani, 2021. "Do Rail Transit Stations Affect the Population Density Changes around Them? The Case of Dallas-Fort Worth Metropolitan Area," Sustainability, MDPI, vol. 13(6), pages 1-21, March.
    11. Dong, Hongwei, 2021. "Evaluating the impacts of transit-oriented developments (TODs) on household transportation expenditures in California," Journal of Transport Geography, Elsevier, vol. 90(C).
    12. Marcin Torzewski, 2016. "The analysis of the impact of the Warsaw metro stations location on residential property prices in Ursynów district in Warsaw (Analiza wplywu lokalizacji stacji metra warszawskiego na ceny mieszkan na," Research Reports, University of Warsaw, Faculty of Management, vol. 1(20), pages 145-155.
    13. Liang, Cong & Huang, Yaoxuan & Yip, Tsz Leung & Li, Victor Jing, 2022. "Does rail transit development gentrify neighborhoods? Evidence from Hong Kong," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 354-372.
    14. Yang, Linchuan & Chau, K.W. & Wang, Xu, 2019. "Are low-end housing purchasers more willing to pay for access to basic public services? Evidence from China," Research in Transportation Economics, Elsevier, vol. 76(C).
    15. Tideman, Nicolaus & Plassmann, Florenz, 2018. "The effects of changes in land value on the value of buildings," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 69-76.
    16. Gadziński, Jędrzej & Radzimski, Adam, 2016. "The first rapid tram line in Poland: How has it affected travel behaviours, housing choices and satisfaction, and apartment prices?," Journal of Transport Geography, Elsevier, vol. 54(C), pages 451-463.
    17. Jin, Tanhua & Cheng, Long & Liu, Zhicheng & Cao, Jun & Huang, Haosheng & Witlox, Frank, 2022. "Nonlinear public transit accessibility effects on housing prices: Heterogeneity across price segments," Transport Policy, Elsevier, vol. 117(C), pages 48-59.
    18. Aliyu Ahmad Aliyu & Olurotimi Adebowale Kemiki & Muhammad Umar Bello, 2018. "Transportation Accessibility Benefit and the Dynamic Pattern of Real Estate Prices: Emerging Literature," Traektoriâ Nauki = Path of Science, Altezoro, s.r.o. & Dialog, vol. 4(11), pages 1001-1016, November.
    19. López-Morales, Ernesto & Sanhueza, Claudia & Herrera, Nicolás & Espinoza, Sebastián & Mosso, Vicente, 2023. "Land and housing price increases due to metro effect: An empirical analysis of Santiago, Chile, 2008–2019," Land Use Policy, Elsevier, vol. 132(C).
    20. Junhong Im & Sung Hyo Hong, 2018. "Impact of a new subway line on housing values in Daegu, Korea: Distance from existing lines," Urban Studies, Urban Studies Journal Limited, vol. 55(15), pages 3318-3335, November.

    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:14:y:2022:i:15:p:9107-:d:871184. 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.