Modeling the transition toward a zero emission car fleet: Integrating electrification, shared mobility, and automation

Roca-Puigròs, Marta; Marmy, Charles; Wäger, Patrick; Müller, Daniel B.

doi:10.1016/j.trd.2022.103576

Cited by 17 publications

(4 citation statements)

References 56 publications

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“…By promoting active modes of transportation and reducing private vehicle usage, the city minimizes congestion, decreases greenhouse gas emissions, and improves air quality. A key aspect of the vision is the widespread adoption of electric and shared mobility services enabled by automated vehicles and, following future research, their integration with the public transport system, seamlessly connecting AVs with other modes, which can significantly mitigate GHG emissions [105,106]. Car-sharing programs, ride-sharing platforms, and on-demand public transportation options are seamlessly integrated, ensuring convenient and accessible mobility for all residents.…”

Section: Pro-active Vision For the Future City Integrating Measures F...mentioning

confidence: 99%

Unveiling the Hidden Effects of Automated Vehicles on “Do No Significant Harm’’ Components

et al. 2023

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The deployment of automated vehicles (AVs) has the potential to disrupt and fundamentally transform urban transportation. As their implementation becomes imminent on cities’ streets, it is of great concern that no comprehensive strategies have been formulated to effectively manage and mitigate their potential negative impacts, particularly with respect to the components of the do no significant harm (DNSH) framework recently introduced in the EU taxonomy. The methodology employed comprises three steps: (i) An extensive literature review on the impact of AVs on the DNSH components; (ii) exploration of designing a coherent pro-active vision by integrating measures identified in the literature as key elements to mitigate the harm; and (iii) an interdisciplinary focus group (FG) to verify whether the impacts of AVs and potential mitigation measures for Bucharest are similar to those identified by the literature and integrated into the pro-active vision. The results suggest that while there are commonalities, variations exist in focus and perspective, underscoring the necessity of examining the mitigation measures encompassed in the vision through additional focus groups conducted in different cities.

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Section: Pro-active Vision For the Future City Integrating Measures F...mentioning

confidence: 99%

Unveiling the Hidden Effects of Automated Vehicles on “Do No Significant Harm’’ Components

et al. 2023

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“…Simulation models of socio-economic metabolisms (SEM) are increasingly used to address questions regarding environmental issues. For example, SEM models have been used to gain insights into the relationships between greenhouse gas (GHG) emissions and energy and material flows and stocks, through scenarios exploring circular economy and climate change mitigation strategies (Pauliuk et al, 2012;Roca-Puigròs et al, 2023;Streeck et al, 2021). The growing use of SEM models can be attributed-among others-to their multiple and diverse purposes, such as (1)…”

Section: Introductionmentioning

confidence: 99%

“…Simulation models of socio‐economic metabolisms (SEM) are increasingly used to address questions regarding environmental issues. For example, SEM models have been used to gain insights into the relationships between greenhouse gas (GHG) emissions and energy and material flows and stocks, through scenarios exploring circular economy and climate change mitigation strategies (Pauliuk et al., 2012; Roca‐Puigròs et al., 2023; Streeck et al., 2021). The growing use of SEM models can be attributed—among others—to their multiple and diverse purposes, such as (1) foresight, including forecasting and backcasting, (2) explanation, for example, increase understanding of systems, (3) intervention and optimization, that is, support the design and implementation of system interventions and optimizations, and (4) education, that is, explore the consequences of certain actions (Hilty, 2019; Løvik et al., 2014).…”

Section: Introductionmentioning

confidence: 99%

Linking socio‐economic metabolism models and simulation games: Reflections on benefits and challenges

Roca‐Puigròs,

Gerber,

Ulrich

et al. 2024

J of Industrial Ecology

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Simulation models of socio‐economic metabolisms (SEM) are increasingly used to address questions regarding environmental issues. SEM studies often focus on target audiences such as researchers and decision‐makers by means of scientific articles, reports, and oral presentations. In this contribution, we study the linkage of SEM models and simulation games (SGs) (i) to widen the audience of SEM research to include the general public, who, through their lifestyles, contribute to the studied environmental issues, and (ii) to address the different audiences by means of interaction tools. We illustrate the link through a case study, the postfossilCities SG. Based on the case study, existing SGs, and literature, we identified that linking SEM models with SGs can facilitate (1) the accessibility of SEM models to wider audiences, (2) the communication and understanding of systems with complex dynamics, such as nonlinear behavior, through tools that trigger experiences and emotions, (3) the consideration of actors' dimension of physical systems, and (4) the robustness of SGs by having mass‐ and energy‐balance consistent representations of physical systems. Despite these benefits, linking SEM models and SGs is also bound to challenges, such as (1) the integration of approaches from different disciplines, (2) the high demand on time and financial resources, and (3) the balance between simplification and complexity. In order to facilitate the link between SEM models and SGs, and thus exploit the mentioned benefits, it is important to set‐up connections to game‐related communities and communities with long tradition of using SGs, and use existing game development methods.

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“…Vehicle manufacturers and governments are implementing various practices, improvements, and measures to reduce both fuel consumption and greenhouse gas emissions [30]. Due to climate change, air pollution, and depletion of fossil fuels, various researchers are working on this issue [31][32][33][34][35].…”

Section: Introductionmentioning

confidence: 99%

Environmental Effects of Driver Distraction at Traffic Lights: Mobile Phone Use

Alemdar,

Kayacı Çodur,

Codur

et al. 2023

Sustainability

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The transportation demands of people are increasing day by day depending on the population, and the number of vehicles in traffic is causing various problems. To meet the energy needs of vehicles, there is a huge burden on countries in terms of fossil fuels. In addition, the use of fossil fuels in vehicles has a serious impact on environmental pollution. Various studies have been carried out to prevent unnecessary fuel consumption and emissions. Behavior of drivers, who are important components of traffic, are carefully examined in the context of this subject. Driver distraction causes various environmental problems as well as traffic safety issues. In this study, the negative situations that arise as a result of drivers waiting at traffic lights dealing with their mobile phones are discussed. Roadside observations are made for drivers at considered intersections in Erzurum Province, Turkey. As a result of these observations, delays at selected intersections due to mobile phone use are calculated. Unnecessary fuel consumption and emissions due to delays are also analyzed. An annual fuel consumption of approximately 177.025 L and emissions of 0.294 (kg) NOX and 251.68 (kg) CO2 occur at only selected intersections. In addition, a second roadside observation is made in order to analyze driver behavior and the most preferred type of mobile phone usage is determined. It is seen that drivers mostly exhibit the “Talking” and “Touchscreen” action classes. Considering the economic conditions and environmental pollution sensitivities of countries, attempts have been made to raise awareness about fuel consumption and emissions at traffic lights.

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Modeling the transition toward a zero emission car fleet: Integrating electrification, shared mobility, and automation

Cited by 17 publications

References 56 publications

Unveiling the Hidden Effects of Automated Vehicles on “Do No Significant Harm’’ Components

Unveiling the Hidden Effects of Automated Vehicles on “Do No Significant Harm’’ Components

Linking socio‐economic metabolism models and simulation games: Reflections on benefits and challenges

Environmental Effects of Driver Distraction at Traffic Lights: Mobile Phone Use

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