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An Economic Analysis Algorithm for Urban Forestry Projects

Author

Listed:
  • Antonio Nesticò

    (Department of Civil Engineering, University of Salerno, 84084 Fisciano (SA), Italy)

  • Maria Rosaria Guarini

    (Department of Architecture and Design, “Sapienza” University of Rome, 00196 Rome, Italy)

  • Pierluigi Morano

    (Department of Science of Civil Engineering and Architecture, Polytechnic University of Bari, 70125 Bari, Italy)

  • Francesco Sica

    (Department of Architecture and Design, Doctoral School of Architecture and Construction, “Sapienza” University of Rome, 00196 Rome, Italy)

Abstract

The second half of the 20th century was characterized by rapid growth of the urban population and lack of attention to environmental quality in the urbanizes territories. Thus, the development of many cities during that period took place through policies which, over time, resulted in a disaggregated landscape, both in morphological and functional terms. In some cases, these policies have caused the creation of land portions without a specific characterization, and the generation of urban voids that negatively affect the city’s development. To solve this problem, the public administration sectors of many countries are looking for new intervention strategies that are feasible from a social and economic point of view which are able to guarantee sustainable development. From this perspective, the execution of urban regeneration initiatives, including forestation, allows for the improvement of both environmental quality and citizens’ well-being, and promotes economic development. Considering the multiple effects that these initiatives can generate and the limited availability of public and private resources, it is appropriate to use multi-criteria decision support tools through which it is possible to evaluate the interventions’ complexity and best identify the city areas that lend themselves to be recovered and improved through the forestation. The aim of this work is to develop a support tool for public administrations aimed at identifying the optimal forestry projects’ location according to criteria that not only refer to financial type, but also their social, cultural, and environmental nature. Using Discrete Linear Programming algorithms, the model has been tested through a theoretical case study and reveals the advantages and limitations of the model, as well as future research prospects.

Suggested Citation

  • Antonio Nesticò & Maria Rosaria Guarini & Pierluigi Morano & Francesco Sica, 2019. "An Economic Analysis Algorithm for Urban Forestry Projects," Sustainability, MDPI, vol. 11(2), pages 1-13, January.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:2:p:314-:d:196317
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    References listed on IDEAS

    as
    1. Carmelo M. Torre & Pierluigi Morano & Francesco Tajani, 2017. "Saving Soil for Sustainable Land Use," Sustainability, MDPI, vol. 9(3), pages 1-32, February.
    2. Francesco Tajani & Pierluigi Morano, 2017. "Evaluation of vacant and redundant public properties and risk control," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 35(1), pages 75-100, February.
    3. Antonio Nesticò & Francesco Sica, 2017. "The sustainability of urban renewal projects: a model for economic multi-criteria analysis," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 35(4), pages 397-409, July.
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    Cited by:

    1. Maria Rosaria Guarini & Pierluigi Morano & Alessandro Micheli & Francesco Sica, 2021. "Public-Private Negotiation of the Increase in Land or Property Value by Urban Variant: An Analytical Approach Tested on a Case of Real Estate Development," Sustainability, MDPI, vol. 13(19), pages 1-30, October.
    2. Maria Rosa Trovato & Paolo Micalizzi & Salvatore Giuffrida, 2021. "Assessment of Landscape Co-Benefits in Natura 2000 Site Management Plans," Sustainability, MDPI, vol. 13(10), pages 1-38, May.
    3. Thi Thu Huong Nguyen & Zhi Yang & Ninh Nguyen & Lester W. Johnson & Tuan Khanh Cao, 2019. "Greenwash and Green Purchase Intention: The Mediating Role of Green Skepticism," Sustainability, MDPI, vol. 11(9), pages 1-16, May.
    4. Antonio Nesticò & Pierfrancesco Fiore & Emanuela D’Andria, 2020. "Enhancement of Small Towns in Inland Areas. A Novel Indicators Dataset to Evaluate Sustainable Plans," Sustainability, MDPI, vol. 12(16), pages 1-21, August.
    5. Sessa, Maria Rosaria & Russo, Alessio & Sica, Francesco, 2022. "Opinion paper on green deal for the urban regeneration of industrial brownfield land in Europe," Land Use Policy, Elsevier, vol. 119(C).
    6. Jessica K. Breadsell & Joshua J. Byrne & Gregory M. Morrison, 2019. "Household Energy and Water Practices Change Post-Occupancy in an Australian Low-Carbon Development," Sustainability, MDPI, vol. 11(20), pages 1-20, October.
    7. Antonio Nesticò & Marianna La Marca, 2020. "Urban Real Estate Values and Ecosystem Disservices: An Estimate Model Based on Regression Analysis," Sustainability, MDPI, vol. 12(16), pages 1-15, August.
    8. Sarnataro, Michele & Barbati, Maria & Greco, Salvatore, 2021. "A portfolio approach for the selection and the timing of urban planning projects," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
    9. Maria Rosaria Guarini & Pierluigi Morano & Francesco Sica, 2019. "Integrated Ecosystem Design: An Evaluation Model to Support the Choice of Eco-Compatible Technological Solutions for Residential Building," Energies, MDPI, vol. 12(14), pages 1-34, July.
    10. Maria Rosaria Sessa & Benedetta Esposito & Daniela Sica & Ornella Malandrino, 2021. "A Logical-Mathematical Approach for the Implementation of Ecologically Equipped Productive Urban Areas," Sustainability, MDPI, vol. 13(3), pages 1-17, January.
    11. Qingbin Wang & Laurel Valchuis & Ethan Thompson & David Conner & Robert Parsons, 2019. "Consumer Support and Willingness to Pay for Electricity from Solar, Wind, and Cow Manure in the United States: Evidence from a Survey in Vermont," Energies, MDPI, vol. 12(23), pages 1-13, November.
    12. Kunyuan Wanghe & Xinle Guo & Xiaofeng Luan & Kai Li, 2019. "Assessment of Urban Green Space Based on Bio-Energy Landscape Connectivity: A Case Study on Tongzhou District in Beijing, China," Sustainability, MDPI, vol. 11(18), pages 1-15, September.
    13. Antonio Nesticò & Piera Somma, 2019. "Comparative Analysis of Multi-Criteria Methods for the Enhancement of Historical Buildings," Sustainability, MDPI, vol. 11(17), pages 1-19, August.

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