IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i12p5089-d1415276.html
   My bibliography  Save this article

Public Benefits Valuation of Dynamic Green Roof Stormwater Retention

Author

Listed:
  • Jessica Cook

    (Rogers Behavioral Health, Oconomowoc, WI 53066, USA)

  • Yunsun Huh

    (Department of Economics, College of Business and Economics, University of Wisconsin-Whitewater, Whitewater, WI 53190, USA)

  • Matthew Winden

    (Department of Economics, College of Business and Economics, University of Wisconsin-Whitewater, Whitewater, WI 53190, USA)

Abstract

This study evaluates the public benefits associated with different green roof systems to manage stormwater runoff in Milwaukee, Wisconsin. An internet-based stated-preference conjoint choice experiment was administered to residents of Milwaukee to ascertain the public benefits value of different potential green roof infrastructure programs. This study contributes to the literature on the public benefits of green roofs in two ways. First, this study examined the perceived value of dynamic stormwater retention facilitated using “smart” green roofs with access to real-time weather data versus traditional extensive green roofs. Second, a wider range of public benefits associated with green roofs, including improved water quality, air quality, biodiversity, and urban heat island effects, were estimated. Estimation of these public benefits allows for determination of the optimal public policy for supporting green roofs as a component of decentralized stormwater management in municipalities.

Suggested Citation

  • Jessica Cook & Yunsun Huh & Matthew Winden, 2024. "Public Benefits Valuation of Dynamic Green Roof Stormwater Retention," Sustainability, MDPI, vol. 16(12), pages 1-15, June.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:12:p:5089-:d:1415276
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/12/5089/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/12/5089/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    2. DeShazo, J. R. & Fermo, German, 2002. "Designing Choice Sets for Stated Preference Methods: The Effects of Complexity on Choice Consistency," Journal of Environmental Economics and Management, Elsevier, vol. 44(1), pages 123-143, July.
    3. Kondo, M.C. & Low, S.C. & Henning, J. & Branas, C.C., 2015. "The impact of green stormwater infrastructure installation on surrounding health and safety," American Journal of Public Health, American Public Health Association, vol. 105(3), pages 114-121.
    4. Ando, Amy Whritenour & Netusil, Noelwah R., 2013. "A Tale of Many Cities: Using Low-Impact Development to Reduce Urban Water Pollution," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 28(3), pages 1-6.
    Full references (including those not matched with items on IDEAS)

    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. Tajana Čop & Mario Njavro, 2022. "Application of Discrete Choice Experiment in Agricultural Risk Management: A Review," Sustainability, MDPI, vol. 14(17), pages 1-17, August.
    2. Jürgen Meyerhoff & Ulf Liebe, 2009. "Status Quo Effect in Choice Experiments: Empirical Evidence on Attitudes and Choice Task Complexity," Land Economics, University of Wisconsin Press, vol. 85(3), pages 515-528.
    3. Andrew Meyer, 2013. "Estimating discount factors for public and private goods and testing competing discounting hypotheses," Journal of Risk and Uncertainty, Springer, vol. 46(2), pages 133-173, April.
    4. Nicolas Jacquemet & Stephane Luchini & Jason Shogren & Verity Watson, 2019. "Discrete Choice under Oaths," Post-Print halshs-02136103, HAL.
    5. Moser, Riccarda & Raffaelli, Roberta, 2011. "Exploiting cut-off information to incorporate context effect: a discrete choice experiment on small fruits in a Alpine region," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114646, European Association of Agricultural Economists.
    6. Rogers, Abbie A. & Cleland, Jonelle, 2010. "Comparing Scientist and Public Preferences for Conserving Environmental Systems: A Case of the Kimberley’s Tropical Waterways and Wetlands," Research Reports 107579, Australian National University, Environmental Economics Research Hub.
    7. Axsen, Jonn & Mountain, Dean C. & Jaccard, Mark, 2009. "Combining stated and revealed choice research to simulate the neighbor effect: The case of hybrid-electric vehicles," Resource and Energy Economics, Elsevier, vol. 31(3), pages 221-238, August.
    8. Fraser, Iain & Balcombe, Kelvin & Williams, Louis & McSorley, Eugene, 2021. "Preference stability in discrete choice experiments. Some evidence using eye-tracking," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 94(C).
    9. De Valck, Jeremy & Vlaeminck, Pieter & Liekens, Inge & Aertsens, Joris & Chen, Wendy & Vranken, Liesbet, 2012. "The sources of preference heterogeneity for nature restoration scenarios," Working Papers 146522, Katholieke Universiteit Leuven, Centre for Agricultural and Food Economics.
    10. Siikamaki, Juha & Layton, David F., 2007. "Discrete choice survey experiments: A comparison using flexible methods," Journal of Environmental Economics and Management, Elsevier, vol. 53(1), pages 122-139, January.
    11. Nakayama, Shoichiro & Chikaraishi, Makoto, 2015. "Unified closed-form expression of logit and weibit and its extension to a transportation network equilibrium assignment," Transportation Research Part B: Methodological, Elsevier, vol. 81(P3), pages 672-685.
    12. Riccardo Scarpa & Kenneth G. Willis & Melinda Acutt, 2004. "Comparing Individual-Specific Benefit Estimates for Public Goods: Finite Versus Continuous Mixing in Logit Models," Working Papers 2004.132, Fondazione Eni Enrico Mattei.
    13. Huh, Sung-Yoon & Jo, Manseok & Shin, Jungwoo & Yoo, Seung-Hoon, 2019. "Impact of rebate program for energy-efficient household appliances on consumer purchasing decisions: The case of electric rice cookers in South Korea," Energy Policy, Elsevier, vol. 129(C), pages 1394-1403.
    14. Ladenburg, Jacob & Olsen, Søren Bøye, 2014. "Augmenting short Cheap Talk scripts with a repeated Opt-Out Reminder in Choice Experiment surveys," Resource and Energy Economics, Elsevier, vol. 37(C), pages 39-63.
    15. Liebe, Ulf & Glenk, Klaus & Oehlmann, Malte & Meyerhoff, Jürgen, 2015. "Does the use of mobile devices (tablets and smartphones) affect survey quality and choice behaviour in web surveys?," Journal of choice modelling, Elsevier, vol. 14(C), pages 17-31.
    16. Krucien, Nicolas & Ryan, Mandy & Hermens, Frouke, 2017. "Visual attention in multi-attributes choices: What can eye-tracking tell us?," Journal of Economic Behavior & Organization, Elsevier, vol. 135(C), pages 251-267.
    17. Lauren Chenarides & Carola Grebitus & Jayson L Lusk & Iryna Printezis, 2022. "A calibrated choice experiment method," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(5), pages 971-1004.
    18. Scarpa Riccardo & Thiene Mara & Marangon Francesco, 2007. "The Value of Collective Reputation for Environmentally-Friendly Production Methods: The Case of Val di Gresta," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 5(1), pages 1-28, September.
    19. Elizabeth Kinter & Thomas Prior & Christopher Carswell & John Bridges, 2012. "A Comparison of Two Experimental Design Approaches in Applying Conjoint Analysis in Patient-Centered Outcomes Research," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 5(4), pages 279-294, December.
    20. David A. Hensher, 2006. "How do respondents process stated choice experiments? Attribute consideration under varying information load," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 861-878, September.

    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:16:y:2024:i:12:p:5089-:d:1415276. 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.