IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v40y2013i2p271-288.html
   My bibliography  Save this article

Visualization-Based Decision Tool for Urban Meteorological Modeling

Author

Listed:
  • Daniel G Aliaga
  • Carlo Vanegas
  • Ming Lei
  • Dev Niyogi

Abstract

We present a visualization-based decision tool that enables exploring the link between urban land use and urban weather, in particular predicting and visualizing changes in urban temperature, precipitation, and humidity. Our work combines recent work from urban planning, weather and climate studies, and visualization and computer graphics. Our approach uses an interactive tool to produce quickly and automatically plausible detailed 3D city models by means of a hybrid computational simulation of urban behavior and procedural urban geometry. From the city model, urban morphology parameters are efficiently computed and used by our custom meteorological simulator which considers the influence of the urban landscape. The result is a compelling visualization ability for understanding the complex feedback between urban land use and the regional meteorology of current cities and of potential future cities with desired greening patterns. Our work includes a case-study example spanning a 1600 km 2 area.

Suggested Citation

  • Daniel G Aliaga & Carlo Vanegas & Ming Lei & Dev Niyogi, 2013. "Visualization-Based Decision Tool for Urban Meteorological Modeling," Environment and Planning B, , vol. 40(2), pages 271-288, April.
    • Handle: RePEc:sae:envirb:v:40:y:2013:i:2:p:271-288
    DOI: 10.1068/b38084
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/b38084
    Download Restriction: no
    File URL: https://libkey.io/10.1068/b38084?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. de Palma, Andre & Picard, Nathalie & Waddell, Paul, 2007. "Discrete choice models with capacity constraints: An empirical analysis of the housing market of the greater Paris region," Journal of Urban Economics, Elsevier, vol. 62(2), pages 204-230, September.
    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. Michel Beine & Marco Delogu & Lionel Ragot, 2020. "The role of fees in foreign education: evidence from Italy [Determinants of international student migration]," Journal of Economic Geography, Oxford University Press, vol. 20(2), pages 571-600.
    2. De Palma, Andre & Motamedi, Kiarash & Picard, Nathalie & Waddell, Paul, 2007. "Accessibility and environmental quality: inequality in the Paris housing market," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 36, pages 47-74.
    3. Michel Beine & Marco Delogu & Lionel Ragot, 2017. "The Role of Fees in Foreign Education: Evidence From Italy and the United Kingdom," Working Papers 2017-04, CEPII research center.
    4. Russo, Francesco & Musolino, Giuseppe, 2012. "A unifying modelling framework to simulate the Spatial Economic Transport Interaction process at urban and national scales," Journal of Transport Geography, Elsevier, vol. 24(C), pages 189-197.
    5. Jian Liu & Xiaosu Ma & Yi Zhu & Jing Li & Zong He & Sheng Ye, 2021. "Generating and Visualizing Spatially Disaggregated Synthetic Population Using a Web-Based Geospatial Service," Sustainability, MDPI, vol. 13(3), pages 1-16, February.
    6. Crawford, Gregory S. & Griffith, Rachel & Iaria, Alessandro, 2021. "A survey of preference estimation with unobserved choice set heterogeneity," Journal of Econometrics, Elsevier, vol. 222(1), pages 4-43.
    7. Song, Zisheng & Wilhelmsson, Mats & Yang, Zan, 2020. "Constructing a rental housing index and identifying market segmentation in the case of Beijing, China," Working Paper Series 20/10, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.
    8. David W. Berger & Kyle F. Herkenhoff & Simon Mongey, 2022. "Minimum Wages, Efficiency and Welfare," Opportunity and Inclusive Growth Institute Working Papers 058, Federal Reserve Bank of Minneapolis.
    9. André Palma & Soumyanetra Munshi, 2019. "Multi-player, Multi-prize, Imperfectly Discriminating Contests," Methodology and Computing in Applied Probability, Springer, vol. 21(2), pages 593-632, June.
    10. Koşar, Gizem & Ransom, Tyler & van der Klaauw, Wilbert, 2022. "Understanding migration aversion using elicited counterfactual choice probabilities," Journal of Econometrics, Elsevier, vol. 231(1), pages 123-147.
    11. Maximilian Schäfer & Kevin Ducbao Tran, 2020. "Airbnb, Hotels, and Localized Competition," Discussion Papers of DIW Berlin 1889, DIW Berlin, German Institute for Economic Research.
    12. André de Palma & Soumyanetra Munshi, 2012. "Multi-player, Multi-prize, Imperfectly Discriminating Contests," Working Papers hal-00683688, HAL.
    13. Juan Carlos Espinoza Garcia & Laurent Alfandari, 2018. "Robust location of new housing developments using a choice model," Annals of Operations Research, Springer, vol. 271(2), pages 527-550, December.
    14. Felsenstein, Daniel & Ashbel, Eyal, 2010. "Simultaneous modeling of developer behavior and land prices in UrbanSim," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(2), pages 107-127.
    15. de Palma, Andre & Motamedi, Kiarash & Picard, Nathalie & Waddell, Paul, 2005. "A model of residential location choice with endogenous housing prices and traffic for the Paris region," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 31, pages 67-82.
    16. de Palma, André & Stokkink, Patrick & Geroliminis, Nikolas, 2022. "Influence of dynamic congestion with scheduling preferences on carpooling matching with heterogeneous users," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 479-498.
    17. Mohamed Khachman & Catherine Morency & Francesco Ciari, 2024. "Integrated multiresolution framework for spatialized population synthesis," Transportation, Springer, vol. 51(3), pages 823-852, June.
    18. Schirmer, Patrick & van Eggermond, Michael & Axhausen, Kay, 2014. "The role of location in residential location choice models: a review of literature," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(2), pages 3-21.
    19. Michel Beine & Marco Delogu & Lionel Ragot, 2017. "Understanding the Impact of Tuition Fees in Foreign Education: the Case of the UK," Working Papers hal-04141620, HAL.
    20. Elgar, Ilan & Farooq, Bilal & Miller, Eric J., 2015. "Simulations of firm location decisions: Replicating office location choices in the Greater Toronto Area," Journal of choice modelling, Elsevier, vol. 17(C), pages 39-51.

    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:sae:envirb:v:40:y:2013:i:2:p:271-288. 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: SAGE Publications (email available below). General contact details of provider: .

    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.