IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v41y2014i4p573-593.html
   My bibliography  Save this article

The Effect of Urban Form and Residential Cooling Energy Use in Sacramento, California

Author

Listed:
  • Yekang Ko

    (School of Urban and Public Affairs, University of Texas at Arlington, 511 University Hall, Box 19588, Arlington, TX 76019, USA)

  • John D Radke

    (Department of Landscape Architecture and Environmental Planning, University of California, Berkeley, 201 Wurster Hall #2000, Berkeley, CA 94720-2000, USA)

Abstract

The impact of urban form on residential space-conditioning energy use has been controversial in recent planning literature. This study empirically evaluates the association between urban form and residential energy use, focusing particularly on residential electricity use for space cooling in the City of Sacramento, California. We characterize urban form, property conditions, and demographic and socioeconomic characteristics by applying spatial metrics embedded within a geographic information system where LiDAR data effectively include each building and the surrounding vegetation. A statistical model is applied to assess the relationship between these explanatory variables and the estimated summer air-conditioning energy use. Controlling for other variables, higher population density, east—west street orientation, higher green space density, larger vegetation on the east, south, and especially the west sides of houses, appears to have statistically significant effects on reducing summer cooling energy use. This study quantifies the built environment impact on the energy demand of air conditioning and informs planners as they craft urban planning and design policies for energy conservation.

Suggested Citation

  • Yekang Ko & John D Radke, 2014. "The Effect of Urban Form and Residential Cooling Energy Use in Sacramento, California," Environment and Planning B, , vol. 41(4), pages 573-593, August.
  • Handle: RePEc:sae:envirb:v:41:y:2014:i:4:p:573-593
    DOI: 10.1068/b12038p
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/b12038p
    Download Restriction: no

    File URL: https://libkey.io/10.1068/b12038p?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. Kaza, Nikhil, 2010. "Understanding the spectrum of residential energy consumption: A quantile regression approach," Energy Policy, Elsevier, vol. 38(11), pages 6574-6585, November.
    2. Dora L. Costa & Matthew E. Kahn, 2010. "Why Has California's Residential Electricity Consumption Been So Flat since the 1980s?: A Microeconometric Approach," NBER Working Papers 15978, National Bureau of Economic Research, Inc.
    3. Overmars, Koen P. & Verburg, Peter H., 2006. "Multilevel modelling of land use from field to village level in the Philippines," Agricultural Systems, Elsevier, vol. 89(2-3), pages 435-456, September.
    4. Akbari, Hashem & Taha, Haider, 1992. "The impact of trees and white surfaces on residential heating and cooling energy use in four Canadian cities," Energy, Elsevier, vol. 17(2), pages 141-149.
    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. Zhang, Xingxing & Lovati, Marco & Vigna, Ilaria & Widén, Joakim & Han, Mengjie & Gal, Csilla & Feng, Tao, 2018. "A review of urban energy systems at building cluster level incorporating renewable-energy-source (RES) envelope solutions," Applied Energy, Elsevier, vol. 230(C), pages 1034-1056.

    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. Małgorzata Sztorc, 2022. "The Implementation of the European Green Deal Strategy as a Challenge for Energy Management in the Face of the COVID-19 Pandemic," Energies, MDPI, vol. 15(7), pages 1-21, April.
    2. Agarwal, Sumit & Satyanarain, Rengarajan & Sing, Tien Foo & Vollmer, Derek, 2016. "Effects of construction activities on residential electricity consumption: Evidence from Singapore's public housing estates," Energy Economics, Elsevier, vol. 55(C), pages 101-111.
    3. Estiri, Hossein, 2014. "Building and household X-factors and energy consumption at the residential sector," Energy Economics, Elsevier, vol. 43(C), pages 178-184.
    4. Hendrik Schmitz & Reinhard Madlener, 2020. "Heterogeneity in price responsiveness for residential space heating in Germany," Empirical Economics, Springer, vol. 59(5), pages 2255-2281, November.
    5. Estiri, Hossein & Zagheni, Emilio, 2018. "Evaluating the Age-Energy Consumption Profile in Residential Buildings," SocArXiv yqkva, Center for Open Science.
    6. Zhang, Qianwen & Gao, Wujun & Su, Shiliang & Weng, Min & Cai, Zhongliang, 2017. "Biophysical and socioeconomic determinants of tea expansion: Apportioning their relative importance for sustainable land use policy," Land Use Policy, Elsevier, vol. 68(C), pages 438-447.
    7. Rafael de Arce & Ramón Mahía, 2019. "Drivers of Electricity Poverty in Spanish Dwellings: A Quantile Regression Approach," Energies, MDPI, vol. 12(11), pages 1-18, May.
    8. Ou Deng & Yiqiu Li & Ruoshuang Li & Guangbin Yang, 2022. "Estimation of Forest Ecosystem Climate Regulation Service Based on Actual Evapotranspiration of New Urban Areas in Guanshanhu District, Guiyang, Guizhou Province, China," Sustainability, MDPI, vol. 14(16), pages 1-17, August.
    9. Li, Sheng & Nadolnyak, Denis & Hartarska, Valentina, 2019. "Agricultural land conversion: Impacts of economic and natural risk factors in a coastal area," Land Use Policy, Elsevier, vol. 80(C), pages 380-390.
    10. Xiaojia Bao, 2016. "Water, Electricity and Weather Variability in Rural Northern China," Working Papers 2014-07-02, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    11. Chen, Guangwu & Zhu, Yuhan & Wiedmann, Thomas & Yao, Lina & Xu, Lixiao & Wang, Yafei, 2019. "Urban-rural disparities of household energy requirements and influence factors in China: Classification tree models," Applied Energy, Elsevier, vol. 250(C), pages 1321-1335.
    12. Zhang, Xingxing & Lovati, Marco & Vigna, Ilaria & Widén, Joakim & Han, Mengjie & Gal, Csilla & Feng, Tao, 2018. "A review of urban energy systems at building cluster level incorporating renewable-energy-source (RES) envelope solutions," Applied Energy, Elsevier, vol. 230(C), pages 1034-1056.
    13. Zhang, Dayong & Li, Jun & Ji, Qiang, 2020. "Does better access to credit help reduce energy intensity in China? Evidence from manufacturing firms," Energy Policy, Elsevier, vol. 145(C).
    14. Dastrup, Samuel R. & Graff Zivin, Joshua & Costa, Dora L. & Kahn, Matthew E., 2012. "Understanding the Solar Home price premium: Electricity generation and “Green” social status," European Economic Review, Elsevier, vol. 56(5), pages 961-973.
    15. Wang, Zhi-Hua & Zhao, Xiaoxi & Yang, Jiachuan & Song, Jiyun, 2016. "Cooling and energy saving potentials of shade trees and urban lawns in a desert city," Applied Energy, Elsevier, vol. 161(C), pages 437-444.
    16. Huber, Julian & Dann, David & Weinhardt, Christof, 2020. "Probabilistic forecasts of time and energy flexibility in battery electric vehicle charging," Applied Energy, Elsevier, vol. 262(C).
    17. Nikhil Kaza & Roberto Quercia & Robert J. Sahadi, 2014. "Home energy efficiency and mortgage risks: an extended abstract," Community Development Innovation Review, Federal Reserve Bank of San Francisco, issue 01, pages 063-069.
    18. Jieyi Kang & David Reiner, 2021. "Machine Learning on residential electricity consumption: Which households are more responsive to weather?," Working Papers EPRG2113, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    19. Clune, Stephen & Morrissey, John & Moore, Trivess, 2012. "Size matters: House size and thermal efficiency as policy strategies to reduce net emissions of new developments," Energy Policy, Elsevier, vol. 48(C), pages 657-667.
    20. Neumann, Kathleen & Stehfest, Elke & Verburg, Peter H. & Siebert, Stefan & Müller, Christoph & Veldkamp, Tom, 2011. "Exploring global irrigation patterns: A multilevel modelling approach," Agricultural Systems, Elsevier, vol. 104(9), pages 703-713.

    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:41:y:2014:i:4:p:573-593. 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.