Agent-based models for simulating e-scooter sharing services: A review and a qualitative assessment

Tzouras, Panagiotis G.; Mitropoulos, Lambros; Stavropoulou, Eirini; Antoniou, Eleni; Koliou, Katerina; Karolemeas, Christos; Karaloulis, Antonis; Mitropoulos, Konstantinos; Tarousi, Marilena; Vlahogianni, Eleni I.; Κεπαπτσόγλου, Κωνσταντίνος

doi:10.1016/j.ijtst.2022.02.001

Cited by 15 publications

(4 citation statements)

References 53 publications

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“…Over the last decade, traffic in large urban areas and road networks have been simulated also using ABMs. These models usually simulate the impacts and the overall system performance of innovative transport modes, such as shared autonomous vehicles, electric taxis, demand-responsive buses, electric scooters, etc.. For micro-simulations, "TRANSIMS", "MATSim", "NetLogo", "SimMobility", "Anylogic", and "SARL" are considered the most used [48]. They give very detailed simulations of travel volumes in time and space.…”

Section: Micro-mobility Modeling and Simulationmentioning

confidence: 99%

Enhancing Sustainable Mobility: Evaluating New Bicycle and Pedestrian Links to Car-Oriented Industrial Parks with ARAS-G MCDM Approach

Zagorskas,

Turskis

2024

Sustainability

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The aim of this research is to address the challenge of transforming car-oriented industrial parks into pedestrian- and bicycle-friendly environments. Through the implementation of a multi-criteria decision-making (MCDM) approach, the study aims to evaluate alternative pathway connections and assess their potential impact on bicycle and pedestrian traffic volumes. By enhancing the connectivity of the cycling pathway network, the research seeks to demonstrate the potential for substantial increases in cycling and walking within industrial zones. This research leverages a multi-criteria decision-making framework, specifically the ARAS-G method, and integrates geographic information system analysis alongside Python scripting to project future bicycle usage and assess alternative pathway connections. The study underscores the potential for substantial increases in cycling and walking by augmenting the connectivity of the cycling pathway network. The findings hold practical significance for urban planners and industrial zone developers, advocating a holistic approach to sustainable transportation. The research contributes a comprehensive set of criteria encompassing connectivity, safety, accessibility, efficiency, integration within the urban fabric, and cost-effectiveness to evaluate sustainability and prioritize actions and measures for reestablishing industrial zones as bicycle-friendly spaces.

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Section: Micro-mobility Modeling and Simulationmentioning

confidence: 99%

Enhancing Sustainable Mobility: Evaluating New Bicycle and Pedestrian Links to Car-Oriented Industrial Parks with ARAS-G MCDM Approach

Zagorskas,

Turskis

2024

Sustainability

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“…Many activity-based multi-agent simulation software platforms are available (e.g., SimMobility, MATSim, POLARIS, TRANSIMS, etc.). The selection of any of one of these platforms depends primarily on the research problem at hand and other criteria, including the number of agents to be modeled, the development facilities offered (size of the community, availability of guides and support materials), the platform's capability of being associated with other types of models, and the opensource criterion (see Nguyen et al [19] and Tzouras et al [20] for an overview of existing agent-based modeling platforms).…”

Section: Multi-agent Models and Travel Simulationmentioning

confidence: 99%

Modeling Exposure to Mobility-Related Pollution: Review and Key Challenges

Gastineau,

Can,

Yaméogo

et al. 2023

Transportation Research Record: Journal of the Transportation R

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The health and equity issues related to urban pollution, coupled with the need to assess the consequences of implementing transport policies or new mobility solutions, make it imperative to provide decision-makers with a relevant modeling framework. The coupling of activity-based travel models with environmental models presents a promising approach to thoroughly investigate the interconnected issues related to the impact of road traffic on individual exposure to noise and air pollution. Integrated modeling chains provide a robust framework to comprehensively assess traffic scenarios on a city scale and address issues related to environmental inequalities. This article reviews the recent work in this field to identify both the main contributions and key challenges still to be addressed. It illustrates how the use of a dynamic approach, which considers the intraday dynamics of individual mobilities and pollution concentrations, can contribute to more accurate estimates of the exposure of individuals to pollutants. This modeling approach also has the potential to investigate how the level of exposure depends on the characteristics of the individuals (socioeconomic factors, commuting patterns, location of residence, and main activities). Nonetheless, there are still important challenges to overcome to further enhance the accuracy and applicability of these models: taking into account all types of traffic and transport modes; refining the modeling of exposure to pollution during travel; taking better consideration of microenvironments; and so forth.

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“…Several studies in the USA, Europe, and Asia delineate the popularity of using e-scooters for short-distance trips [6][7][8], as their combination with public transport may improve the accessibility of urban areas [9]. The considerable increase in the number of e-scooters is attributed to their dual behavior and ability to switch between vehicles roadways and pedestrian sidewalks [10,11]. Due to their flexibility, researchers have been challenged to describe e-scooter routing behavior, while local authorities struggle to properly regulate their use in cities.…”

Section: Introductionmentioning

confidence: 99%

Describing Micro-Mobility First/Last-Mile Routing Behavior in Urban Road Networks through a Novel Modeling Approach

Tzouras,

Mitropoulos,

Koliou

et al. 2023

Sustainability

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E-scooters aspire to provide flexibility to their users while covering the first/last mile of a multimodal trip. Yet, their dual travel behavior, i.e., utilizing both vehicles’ roadways and pedestrians’ sidewalks, creates new challenges to transport modelers. This study aims to model e-scooter riding behavior in comparison to traditional urban transport modes, namely car and walking. The new modeling approach is based on perceived safety that is influenced by the road environment and affects routing behavior. An ordinal logistic model of perceived safety is applied to classify road links in a 7-point Likert scale. The parametric utility function combines only three basic parameters: time, cost, and perceived safety. First/last mile routing choices are modeled in a test road network developed in Athens, Greece, utilizing the shortest-path algorithm. The proposed modeling approach proved to be useful, as the road environment of an urban area is heterogenous in terms of safety perceptions. Indeed, the model outputs show that the flexibility of e-scooters is limited in practice by their low-perceived safety. To avoid unsafe road environments where motorized traffic dominates, e-scooter riders tend to detour. This decision-making process tool can identify road network discontinuities. Nevertheless, their significance regarding routing behavior should be further discussed.

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Agent-based models for simulating e-scooter sharing services: A review and a qualitative assessment

Cited by 15 publications

References 53 publications

Enhancing Sustainable Mobility: Evaluating New Bicycle and Pedestrian Links to Car-Oriented Industrial Parks with ARAS-G MCDM Approach

Enhancing Sustainable Mobility: Evaluating New Bicycle and Pedestrian Links to Car-Oriented Industrial Parks with ARAS-G MCDM Approach

Modeling Exposure to Mobility-Related Pollution: Review and Key Challenges

Describing Micro-Mobility First/Last-Mile Routing Behavior in Urban Road Networks through a Novel Modeling Approach

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