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A GIS-Based Framework Creating Green Stormwater Infrastructure Inventory Relevant to Surface Transportation Planning

Author

Listed:
  • Xiaofan Xu

    (Department of Civil and Environmental Engineering, University of South Florida, 4202 E. Fowler Avenue, ENB 118, Tampa, FL 33620, USA)

  • Dylan S. P. Schreiber

    (Department of Civil and Environmental Engineering, University of South Florida, 4202 E. Fowler Avenue, ENB 118, Tampa, FL 33620, USA)

  • Qing Lu

    (Department of Civil and Environmental Engineering, University of South Florida, 4202 E. Fowler Avenue, ENB 118, Tampa, FL 33620, USA)

  • Qiong Zhang

    (Department of Civil and Environmental Engineering, University of South Florida, 4202 E. Fowler Avenue, ENB 118, Tampa, FL 33620, USA)

Abstract

The stormwater runoff that carries pollutants from the land adjacent to road transportation systems may impair the water environment and threaten the ecosystem and human health. A proper management approach like green stormwater infrastructure (GSI) can help control flooding and the runoff pollutants. One barrier for GSI analysis relevant to system-level surface transportation planning is the lack of the inventory of GSI in many U.S. cities. This study aims to develop a GIS-based framework for creating GSI inventory in a time and labor efficient way, different from the traditional survey-based method. The new proposed framework consists of three steps, including road categorization, GSI mapping, and GSI type identification using the GIS data, high-resolution land-cover image, and Google Earth street view pictures. The new approach was tested in Philadelphia, Pennsylvania and also applied in Tampa, Florida. The results showed that the new GIS-based framework can achieve similar accuracy to the survey-based method while saving time and labor. The GSI inventory created in the study demonstrated the usefulness of the proposed framework for analyzing the status of GSI implementation and identifying gaps for future planning in terms of potential locations and underrepresented GSI types.

Suggested Citation

  • Xiaofan Xu & Dylan S. P. Schreiber & Qing Lu & Qiong Zhang, 2018. "A GIS-Based Framework Creating Green Stormwater Infrastructure Inventory Relevant to Surface Transportation Planning," Sustainability, MDPI, vol. 10(12), pages 1-14, December.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:12:p:4710-:d:189535
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    References listed on IDEAS

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    1. Matthew Dennis & David Barlow & Gina Cavan & Penny A. Cook & Anna Gilchrist & John Handley & Philip James & Jessica Thompson & Konstantinos Tzoulas & C. Philip Wheater & Sarah Lindley, 2018. "Mapping Urban Green Infrastructure: A Novel Landscape-Based Approach to Incorporating Land Use and Land Cover in the Mapping of Human-Dominated Systems," Land, MDPI, vol. 7(1), pages 1-25, January.
    2. Liu, Wen & Chen, Weiping & Peng, Chi, 2014. "Assessing the effectiveness of green infrastructures on urban flooding reduction: A community scale study," Ecological Modelling, Elsevier, vol. 291(C), pages 6-14.
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    Cited by:

    1. Marta Bottero & Elena Comino & Federico Dell’Anna & Laura Dominici & Maurizio Rosso, 2019. "Strategic Assessment and Economic Evaluation: The Case Study of Yanzhou Island (China)," Sustainability, MDPI, vol. 11(4), pages 1-19, February.

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