IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v7y2015i10p13433-13453d56622.html
   My bibliography  Save this article

Estimating Natural Environmental Characteristics of Subsidized Households: A Case Study of Austin, Texas

Author

Listed:
  • Young-Jae Kim

    (Department of Architecture and Landscape Architecture, North Dakota State University, 711 2nd Avenue North, Office #308, Fargo, ND 58102, USA)

  • Ayoung Woo

    (Department of Landscape Architecture and Urban Planning, Texas A&M University, A307 Langford Architecture Center, 3137 TAMU, College Station, TX 77843, USA)

Abstract

Compared to the traditional public housing program, the Low-Income Housing Tax Credit (LIHTC) program has been regarded as a better tool to ensure the quality of housing structure for subsidized households and the mixing of incomes in neighborhoods. Previous studies related to LIHTC developments have solely focused on the relationships between subsidized households and socioeconomic environments, such as income, race, poverty, etc. Beyond the socioeconomic environments where subsidized households are located, there is a limited understanding about whether subsidized households experience healthier natural environments in their neighborhoods. This study aims to investigate whether LIHTC-subsidized housing neighborhoods provide adequate natural environments to the subsidized households in Austin, Texas, compared to the public housing households. We employ comparison t -tests and binomial logistic regression models. The results show that LIHTC households are significantly exposed to unhealthy natural environmental settings such as a lack of green vegetation and steep slopes while no statistical evidence is reported for public housing neighborhoods. Findings from this study may help policymakers and planners improve their understanding of whether subsidized housing developments offer better natural environments for disadvantaged populations and help them develop effective environmental intervention strategies to improve the quality of life of subsidized households.

Suggested Citation

  • Young-Jae Kim & Ayoung Woo, 2015. "Estimating Natural Environmental Characteristics of Subsidized Households: A Case Study of Austin, Texas," Sustainability, MDPI, vol. 7(10), pages 1-21, September.
  • Handle: RePEc:gam:jsusta:v:7:y:2015:i:10:p:13433-13453:d:56622
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/7/10/13433/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/7/10/13433/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Saelens, B.E. & Sallis, J.F. & Black, J.B. & Chen, D., 2003. "Neighborhood-Based Differences in Physical Activity: An Environment Scale Evaluation," American Journal of Public Health, American Public Health Association, vol. 93(9), pages 1552-1558.
    2. Eriksen, Michael D. & Rosenthal, Stuart S., 2010. "Crowd out effects of place-based subsidized rental housing: New evidence from the LIHTC program," Journal of Public Economics, Elsevier, vol. 94(11-12), pages 953-966, December.
    3. Ainsworth, B.E. & Keenan, N.L. & Strogatz, D.S. & Garrett, J.M. & James, S.A., 1991. "Physical activity and hypertension in Black adults: The Pitt County study," American Journal of Public Health, American Public Health Association, vol. 81(11), pages 1477-1479.
    4. Harlan, Sharon L. & Brazel, Anthony J. & Prashad, Lela & Stefanov, William L. & Larsen, Larissa, 2006. "Neighborhood microclimates and vulnerability to heat stress," Social Science & Medicine, Elsevier, vol. 63(11), pages 2847-2863, December.
    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. Young-Jae Kim & Ayoung Woo, 2016. "What’s the Score? Walkable Environments and Subsidized Households," Sustainability, MDPI, vol. 8(4), pages 1-20, April.

    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. Young-Jae Kim & Ayoung Woo, 2016. "What’s the Score? Walkable Environments and Subsidized Households," Sustainability, MDPI, vol. 8(4), pages 1-20, April.
    2. Cutts, Bethany B. & Darby, Kate J. & Boone, Christopher G. & Brewis, Alexandra, 2009. "City structure, obesity, and environmental justice: An integrated analysis of physical and social barriers to walkable streets and park access," Social Science & Medicine, Elsevier, vol. 69(9), pages 1314-1322, November.
    3. Anura Amarasinghe & Gerard D'Souza & Cheryl Brown & Tatiana Borisova, 2006. "A Spatial Analysis of Obesity in West Virginia," Working Papers Working Paper 2006-13, Regional Research Institute, West Virginia University.
    4. Spielman, Seth E. & Yoo, Eun-hye, 2009. "The spatial dimensions of neighborhood effects," Social Science & Medicine, Elsevier, vol. 68(6), pages 1098-1105, March.
    5. Guillaume Chapelle & Laurent Gobillon & Benjamin Vignolles, 2025. "Building without income mixing: Public housing quotas in France," Working Papers halshs-05039367, HAL.
    6. Kevin Credit & Elizabeth Mack, 2019. "Place-making and performance: The impact of walkable built environments on business performance in Phoenix and Boston," Environment and Planning B, , vol. 46(2), pages 264-285, February.
    7. Mi Namgung & B. Elizabeth Mercado Gonzalez & Seungwoo Park, 2019. "The Role of Built Environment on Health of Older Adults in Korea: Obesity and Gender Differences," IJERPH, MDPI, vol. 16(18), pages 1-13, September.
    8. Eric T. H. Chan & Tim Schwanen & David Banister, 2021. "The role of perceived environment, neighbourhood characteristics, and attitudes in walking behaviour: evidence from a rapidly developing city in China," Transportation, Springer, vol. 48(1), pages 431-454, February.
    9. McNeill, Lorna Haughton & Kreuter, Matthew W. & Subramanian, S.V., 2006. "Social Environment and Physical activity: A review of concepts and evidence," Social Science & Medicine, Elsevier, vol. 63(4), pages 1011-1022, August.
    10. Jiaying Zhao & Yang Chen & Jiaping Liu & Pierluigi Salvadeo, 2025. "Towards Well-Being in Old Residential Areas: How Health-Promoting Environments Influence Resident Sentiment Within the 15-Minute Living Circle," Land, MDPI, vol. 14(10), pages 1-32, October.
    11. repec:cdl:uctcwp:qt0ct7c30p is not listed on IDEAS
    12. Razieh Zandieh & Javier Martinez & Johannes Flacke & Phil Jones & Martin Van Maarseveen, 2016. "Older Adults’ Outdoor Walking: Inequalities in Neighbourhood Safety, Pedestrian Infrastructure and Aesthetics," IJERPH, MDPI, vol. 13(12), pages 1-24, November.
    13. Eriksen, Michael D. & Lang, Bree J., 2020. "Overview and proposed reforms of the low-income housing tax credit program," Regional Science and Urban Economics, Elsevier, vol. 80(C).
    14. Sylvain Chareyron & Florence Goffette-Nagot & Lucie Letrouit, 2019. "Impacts of a French urban renewal program on local housing markets," Post-Print halshs-02353718, HAL.
    15. Susan Williams & Peng Bi & Jonathan Newbury & Guy Robinson & Dino Pisaniello & Arthur Saniotis & Alana Hansen, 2013. "Extreme Heat and Health: Perspectives from Health Service Providers in Rural and Remote Communities in South Australia," IJERPH, MDPI, vol. 10(11), pages 1-19, October.
    16. Weihua Dong & Zhao Liu & Lijie Zhang & Qiuhong Tang & Hua Liao & Xian'en Li, 2014. "Assessing Heat Health Risk for Sustainability in Beijing’s Urban Heat Island," Sustainability, MDPI, vol. 6(10), pages 1-24, October.
    17. Gabriel M. Ahlfeldt & Nancy Holman, 2018. "Distinctively Different: A New Approach to Valuing Architectural Amenities," Economic Journal, Royal Economic Society, vol. 128(608), pages 1-33, February.
    18. Deepti Adlakha & J. Aaron Hipp & James F. Sallis & Ross C. Brownson, 2018. "Exploring Neighborhood Environments and Active Commuting in Chennai, India," IJERPH, MDPI, vol. 15(9), pages 1-15, August.
    19. Goeyvaerts, Geert, 2023. "Reconstructing cities: Stimulating redevelopment through the tax code," Regional Science and Urban Economics, Elsevier, vol. 99(C).
    20. Sara Wilkinson & Renato Castiglia Feitosa, 2015. "Retrofitting Housing with Lightweight Green Roof Technology in Sydney, Australia, and Rio de Janeiro, Brazil," Sustainability, MDPI, vol. 7(1), pages 1-18, January.
    21. Abbas Sheikh-Mohammad-Zadeh & Nicolas Saunier & E. O. D. Waygood, 2022. "Developing an Objective Framework to Evaluate Street Functions," Sustainability, MDPI, vol. 14(12), pages 1-15, June.

    More about this item

    Keywords

    ;
    ;

    Statistics

    Access and download statistics

    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:7:y:2015:i:10:p:13433-13453:d:56622. 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.