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3642. Optimal Placement of Nature Based Solutions in Urban Greening
Invited abstract in session MA-18: Assessment Methods for Shaping the Green, Inclusive, and Digital Cities I, stream Sustainable Cities.
Monday, 8:30-10:00Room: 42 (building: 116)
Authors (first author is the speaker)
| 1. | Diego Maria Pinto
|
| Istituto di Analisi dei Sistemi ed Informatica "Antonio Ruberti", Consiglio Nazionale delle Ricerche | |
| 2. | Davide Donato Russo
|
| University of Molise | |
| 3. | Antonio M. Sudoso
|
| Sapienza University of Rome |
Abstract
This paper addresses the strategic placement of nature-based solutions (NBSs)
to enhance sustainability and resilience in cities. Leveraging Operations Research (OR) tools and convolution theory, we propose a comprehensive and
flexible approach to maximize the benefits of urban green infrastructure while ensuring equitable distribution across urban areas. Our formulation integrates multiple variables, benefits, and constraints, including fairness considerations, to identify optimal locations of NBSs such as parks, green walls, green walls, and tree plantings. Through several case study analyses, we demonstrate the effectiveness of our approach in improving environmental and social indicators. This research contributes to advancing the understanding and implementation of NBSs in urban planning, offering valuable insights and decision support for re-designing resilient and equitable cities.
Keywords
- Location
- Mathematical Programming
- OR in Sustainability
Status: accepted
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