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An Integrated Model Based on a Hierarchical Indices System for Monitoring and Evaluating Urban Sustainability

Author

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  • Li Shen

    (Department of Geography and Planning, University of Saskatchewan, Saskatoon, SK S7N5C8, Canada
    Sustainable Cities International, West Hastings Street, Vancouver, V6B1G8, Canada)

  • Jared M. Kyllo

    (Department of Geography and Planning, University of Saskatchewan, Saskatoon, SK S7N5C8, Canada)

  • Xulin Guo

    (Department of Geography and Planning, University of Saskatchewan, Saskatoon, SK S7N5C8, Canada)

Abstract

Over 50% of world’s population presently resides in cities, and this number is expected to rise to ~70% by 2050. Increasing urbanization problems including population growth, urban sprawl, land use change, unemployment, and environmental degradation, have markedly impacted urban residents’ Quality of Life ( QOL ). Therefore, urban sustainability and its measurement have gained increasing attention from administrators, urban planners, and scientific communities throughout the world with respect to improving urban development and human well-being. The widely accepted definition of urban sustainability emphasizes the balancing development of three primary domains (urban economy, society, and environment). This article attempts to improve the aforementioned definition of urban sustainability by incorporating a human well-being dimension. Major problems identified in existing urban sustainability indicator (USI) models include a weak integration of potential indicators, poor measurement and quantification, and insufficient spatial-temporal analysis. To tackle these challenges an integrated USI model based on a hierarchical indices system was established for monitoring and evaluating urban sustainability. This model can be performed by quantifying indicators using both traditional statistical approaches and advanced geomatic techniques based on satellite imagery and census data, which aims to provide a theoretical basis for a comprehensive assessment of urban sustainability from a spatial-temporal perspective.

Suggested Citation

  • Li Shen & Jared M. Kyllo & Xulin Guo, 2013. "An Integrated Model Based on a Hierarchical Indices System for Monitoring and Evaluating Urban Sustainability," Sustainability, MDPI, vol. 5(2), pages 1-36, February.
  • Handle: RePEc:gam:jsusta:v:5:y:2013:i:2:p:524-559:d:23311
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    References listed on IDEAS

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    1. World Commission on Environment and Development,, 1987. "Our Common Future," OUP Catalogue, Oxford University Press, number 9780192820808.
    2. Lenore Newman, 2007. "The virtuous cycle: incremental changes and a process-based sustainable development," Sustainable Development, John Wiley & Sons, Ltd., vol. 15(4), pages 267-274.
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    2. Helen W Zheng & Geoffrey QP Shen & Yan Song & Bingxia Sun & Jingke Hong, 2017. "Neighborhood sustainability in urban renewal: An assessment framework," Environment and Planning B, , vol. 44(5), pages 903-924, September.
    3. Francis Rathinam & Sayak Khatua & Zeba Siddiqui & Manya Malik & Pallavi Duggal & Samantha Watson & Xavier Vollenweider, 2021. "Using big data for evaluating development outcomes: A systematic map," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(3), September.
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    5. Irina Santiago-Brown & Andrew Metcalfe & Cate Jerram & Cassandra Collins, 2014. "Transnational Comparison of Sustainability Assessment Programs for Viticulture and a Case-Study on Programs’ Engagement Processes," Sustainability, MDPI, vol. 6(4), pages 1-36, April.
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    11. Adriana Acevedo Tirado & Mariana Ruiz Morales & Odette Lobato-Calleros, 2015. "Additional Indicators to Promote Social Sustainability within Government Programs: Equity and Efficiency," Sustainability, MDPI, vol. 7(7), pages 1-17, July.
    12. Ilaria Pigliautile & Guido Marseglia & Anna Laura Pisello, 2020. "Investigation of CO 2 Variation and Mapping Through Wearable Sensing Techniques for Measuring Pedestrians’ Exposure in Urban Areas," Sustainability, MDPI, vol. 12(9), pages 1-14, May.
    13. Tatyana Tolstykh & Leyla Gamidullaeva & Nadezhda Shmeleva & Yuri Lapygin, 2020. "Regional Development in Russia: An Ecosystem Approach to Territorial Sustainability Assessment," Sustainability, MDPI, vol. 12(16), pages 1-22, August.
    14. Nidia Isabel Molina-Gómez & Karen Rodríguez-Rojas & Dayam Calderón-Rivera & José Luis Díaz-Arévalo & P. Amparo López-Jiménez, 2020. "Using Machine Learning Tools to Classify Sustainability Levels in the Development of Urban Ecosystems," Sustainability, MDPI, vol. 12(8), pages 1-20, April.
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