Assessing the Costs and Benefits of Green Infrastructure Plans Using Agent-Based Modeling and Scenario Analysis: Evaluating Social and Economic Values

Jezzini, Yasser; Assaad, Rayan H.; Boufadel, Michel; Nassif, Hani

doi:10.1061/jupddm.upeng-4664

J. Urban Plann. Dev.

2024

DOI: 10.1061/jupddm.upeng-4664

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Assessing the Costs and Benefits of Green Infrastructure Plans Using Agent-Based Modeling and Scenario Analysis: Evaluating Social and Economic Values

Yasser Jezzini,

Rayan H. Assaad,

Michel Boufadel

et al.

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Cited by 2 publications

References 92 publications

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Exploration of the Technologies Application Experience of Landscape-Scale Green Infrastructure by the Conservation Fund

Yang,

Wang,

Chen

et al. 2024

Land

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As the earliest discussed concept of Green Infrastructure (GI), Landscape-scale GI, in the form of an ecological network capable of balancing development and conservation, has received widespread attention. Its multifunctionality is one of the important features. However, the lack of information and funding, weakness of management authority and technical support make the practice of Landscape-scale GI challenging. Compared to GI adapted in stormwater management, which has comprehensive guidance from theory to practical technologies by officials during its introduction and promotion in other countries, Landscape-scale GI, despite a rich theoretical research foundation, is often overlooked due to insufficient summary research on practical techniques. To address this gap, this study uses mixed methods research to comprehensively analyze 27 Landscape-scale GI practical projects led by the Conservation Fund over the past 20 years to explore patterns in their technical applications. Through qualitative analysis, we standardized and classified descriptive information for these 27 projects and, combined with statistical analysis, clarified the practice development trends committed to balancing development and conservation. The quantitative analysis concentrated on the corresponding relationships between technical applications and project objectives, and GI functions. Based on this, the study categorized the technologies used, summarizing core technologies applicable to most Landscape-scale GI practices, providing some support for the promotion of Landscape-scale GI.

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Exploration of the Technologies Application Experience of Landscape-Scale Green Infrastructure by the Conservation Fund

Yang,

Wang,

Chen

et al. 2024

Land

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Collaborative Game-Theoretic Optimization of Public Transport Fare Policies: A Global Framework for Sustainable Urban Mobility

Eriskin

2024

Sustainability

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Urbanization intensifies the need for sustainable public transportation that balances financial viability, environmental sustainability, and social equity. Traditional fare-setting methods often focus narrowly on financial objectives, neglecting broader impacts. This study introduces a novel collaborative game-theoretic model integrating user sentiment analysis to optimize fare policies. By incorporating utilities of passengers, operators, and governments, and employing the Shapley value for fair benefit distribution, this model aims to maximize social welfare. The methodology frames fare optimization as a cooperative game among stakeholders, integrating passenger preferences through sentiment analysis. The social welfare function combines the utilities of all stakeholders and is maximized under operational, environmental, and financial constraints. Implemented in Python and applied to Isparta, Turkey, the model identifies an optimal fare of 19.5 TL (ranged between 14 and 26.50 TL) that maximizes social welfare, aligning closely with existing fares. Shapley value analysis distributes the benefits, assigning 221,457 (35.6%) units to passengers, 54,562 (8.7%) units to operators, and 347,433 (55.7%) units to the government, highlighting significant environmental gains for the government. Sensitivity analyses confirm the model’s robustness across varying trip volumes, suggesting its applicability to diverse urban settings. This research contributes to socially equitable and user-centric fare policies by providing a comprehensive framework aligning stakeholder interests. Policymakers can leverage this model to design fare strategies promoting sustainability, efficiency, and collaboration in public transportation systems.

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Assessing the Costs and Benefits of Green Infrastructure Plans Using Agent-Based Modeling and Scenario Analysis: Evaluating Social and Economic Values

Cited by 2 publications

References 92 publications

Exploration of the Technologies Application Experience of Landscape-Scale Green Infrastructure by the Conservation Fund

Exploration of the Technologies Application Experience of Landscape-Scale Green Infrastructure by the Conservation Fund

Collaborative Game-Theoretic Optimization of Public Transport Fare Policies: A Global Framework for Sustainable Urban Mobility

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