Modeling Transit User Travel Time Perception in a Post-Economic Recession Era: The Case of Athens, Greece

Kopsidas, Athanasios; Κεπαπτσόγλου, Κωνσταντίνος; Vlahogianni, Eleni I.; Iliopoulou, Christina

doi:10.1007/978-3-030-02305-8_61

Cited by 5 publications

(1 citation statement)

References 12 publications

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“…Travel time and trip costs are common variables in choice models that influence mode and route choices. In this experiment, travel time is divided into in-vehicle travel time, waiting time, and walk time from/to the stop so that the flexibility of each transport mode can be parametrized [36,37]. To do so, zero walking or waiting time is assumed when using a private car.…”

Section: Gkartzonikas Et Al [27]mentioning

confidence: 99%

Identification of Contributory Factors That Affect the Willingness to Use Shared Autonomous Vehicles

Triantafillidi,

Tzouras,

Spyropoulou

et al. 2023

Future Transportation

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Shared autonomous vehicles (SAVs) aspire to change not only vehicles but also the way people and goods move in urban areas. However, the promotion of such services, that is, whether travelers are willing to share their trips with other service users, is still a challenge. This study aims to examine the contributory factors that influence the willingness of individuals to use shared autonomous vehicles by simultaneously identifying the differences in terms of preferences with conventional competitive transport modes, namely, private cars and public transport. A stated preference experiment combined with perception ratings was designed and conducted in Athens, Greece. Based on the collected responses, a multinomial logit model was estimated. The results show that the flexibility of SAVs and, particularly, the possibility of performing door-to-door trips has a serious added value that travelers are willing to pay. Compared with public transport, additional waiting time does not increase the disutility. Furthermore, people who belong to high-education and -income groups expressed a higher willingness to use SAVs and socialize while traveling. The familiarity of each potential user with technology is a necessary precondition. Lastly, it is confirmed that environmentally conscious people are more positive about using these new services.

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Section: Gkartzonikas Et Al [27]mentioning

confidence: 99%

Identification of Contributory Factors That Affect the Willingness to Use Shared Autonomous Vehicles

Triantafillidi,

Tzouras,

Spyropoulou

et al. 2023

Future Transportation

Self Cite

View full text Add to dashboard Cite

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Exploring the effect of perceived safety in first/last mile mode choices

Tzouras,

Pastia,

Kaparias

et al. 2024

Transportation

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Micro-mobility transport modes like e-bikes and e-scooters promise higher flexibility when covering the first/last mile trip from/to the public transport stop/station to the destination point and vice-versa. However, safety concerns about riding a micro vehicle in mixed traffic limit the flexibility of shared mobility modes and make conventional ones still more attractive, e.g., private car and walking. This study investigates the effect of perceived safety in first/last mile mode choice by conducting an image-based double stated preference experiment targeted at potential micro-mobility users and developing ordinal and mixed logistic regression models. The Value-of-Safety (VoS) is introduced. It refers to the additional distance a user is willing to exchange to avoid an unsafe path. Main findings show that shared space can be a middle-ground solution, as it reports lower heterogeneity among individuals in terms of safety perceptions. The intensive use of e-scooters in mixed-traffic decreases the perceived safety of pedestrians, while e-bikers are threatened by the existence of heavy motorized traffic. Low mean VoS is also reported for e-scooters, demonstrating the unwillingness of potential micro-mobility service users to either detour or use this micro vehicle. The mean VoS of the e-bike is estimated as almost equal to that of the private car. It could be, hence, concluded that perceived safety can systematically explain the unobserved disutility of e-bikes.

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Assessing the impacts of traffic calming at network level: A multimodal agent-based simulation

Zargiannaki,

Tzouras,

Antoniou

et al. 2024

Journal of Traffic and Transportation Engineering (English Edit

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Modeling Transit User Travel Time Perception in a Post-Economic Recession Era: The Case of Athens, Greece

Cited by 5 publications

References 12 publications

Identification of Contributory Factors That Affect the Willingness to Use Shared Autonomous Vehicles

Identification of Contributory Factors That Affect the Willingness to Use Shared Autonomous Vehicles

Exploring the effect of perceived safety in first/last mile mode choices

Assessing the impacts of traffic calming at network level: A multimodal agent-based simulation

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