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Conceptualizing environmental effects of carsharing services: A system thinking approach.
Zahra Shams Esfandabadi1, Marco Ravina2, Marco Diana2
1Department of Environment, Land and Infrastructure Engineering (DIATI), Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy; Energy Center Lab, Politecnico di Torino, Via Paolo Borsellino 38/16, 10138 Torino, Italy.
This study introduces a system dynamics framework to analyze the environmental impacts of carsharing services. It proposes strategies to mitigate negative effects, aiding policymakers and practitioners in sustainable urban mobility decisions.
Area of Science:
- Environmental Science
- Urban Planning
- Transportation Engineering
Background:
- Carsharing services are increasingly integrated with urban transport systems, influencing energy consumption and emissions.
- Existing research on transport's environmental impact often lacks a systems thinking approach for carsharing.
- A comprehensive framework is needed to understand the complex interconnections between carsharing and environmental dynamics.
Purpose of the Study:
- To develop a conceptual framework for systematizing the environmental effects of carsharing services.
- To apply system dynamics modeling and causal-loop diagrams to visualize these interconnections.
- To propose strategies for reducing the environmental footprint of shared mobility.
Main Methods:
- System dynamics (SD) modeling was employed to simulate complex interactions.
- Causal-loop diagrams (CLDs) were used to illustrate the proposed framework.
- Analysis of causal loops within the CLD informed strategy development.
Main Results:
- Identified key causal loops influencing the environmental effects of carsharing.
- Developed a framework to understand the system-level impacts of shared mobility.
- Proposed lifecycle-based strategies to mitigate negative environmental consequences.
Conclusions:
- The study provides a novel systems thinking approach to carsharing's environmental impact.
- The proposed framework supports evidence-based decision-making for policymakers and practitioners.
- This research serves as a foundation for future simulation and analysis in shared mobility.
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