Tram drivers' perceived safety and driving stress evaluation. A stated preference experiment

Tzouras, Panagiotis G.; Farah, Haneen; Papadimitriou, Eleonora; Oort, Niels van; Hagenzieker, Marjan

doi:10.1016/j.trip.2020.100205

Cited by 12 publications

(9 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This study hypothesizes that perceived safety acts as an intermediate parameter that is influenced by the road environment [43][44][45] and affects route choices. In other words, first/last mile travelers search both for the shortest and the safest path to reach their destination [46].…”

Section: Modeling Approachmentioning

confidence: 99%

“…In essence, it combines two prediction models. This approach has been followed in the past for modeling the willingness of air travelers to pay for safety improvements [47] and the driving stress of tram drivers [43]. The first model is an ordered logit model that estimates the perceived safety level per link and per transport mode based on road environment parameters, which are presented in the next paragraph.…”

Section: Modeling Approachmentioning

confidence: 99%

“…Perceived safety is a subjective notion that refers to the individual safety perceptions regarding the occurrence of a serious crash while using a particular transport mode [43,48]. It has been used in some previous studies to describe driving behavior both at tactical or operational level [43,44,[48][49][50]. In this study, perceived safety is modelled for each transport mode that can be used for first/last mile trips.…”

Section: Perceived Safety Modelmentioning

confidence: 99%

“…A Likert scale from 1 (very unsafe) to 7 (very safe) is used (see Figure 2). This choice is based on previous studies which preferred 7-point Likert scales in order to examine subjective notions of transport safety, such as the perceived safety of tram drivers [43], airline safety [47] and stress of car drivers [51]. Indeed, a 7-point Likert scale provides enough options to effectively capture the respondents' views [52].…”

Section: Perceived Safety Modelmentioning

confidence: 99%

See 3 more Smart Citations

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

Tzouras,

Mitropoulos,

Koliou

et al. 2023

Sustainability

View full text Add to dashboard Cite

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.

show abstract

Section: Modeling Approachmentioning

confidence: 99%

Section: Modeling Approachmentioning

confidence: 99%

Section: Perceived Safety Modelmentioning

confidence: 99%

Section: Perceived Safety Modelmentioning

confidence: 99%

See 2 more Smart Citations

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

Tzouras,

Mitropoulos,

Koliou

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…While the tram may have many similarities to buses and coaches, a fundamental element that differentiates them is the inability of the tram to reorient itself around an obstruction (such as reaching the rear of another tram, or the obstruction generated by a car or pedestrian), namely obstacles that suddenly enter in the tramway. This inability of the tram to avoid the obstacles, which is associated with the need for an increased braking distance, determines the need for a detection system that allows the driver to stop the tram in a timely manner in order to avoid an accident with very serious effects (considering the large inertial mass of the tram [12,13]).…”

Section: Lidar Sensor Vehicle Safety Applicationmentioning

confidence: 99%

Experimental Validation of LiDAR Sensors Used in Vehicular Applications by Using a Mobile Platform for Distance and Speed Measurements

Vasile¹,

Tudor²,

Sburlan³

et al. 2021

Sensors

View full text Add to dashboard Cite

LiDAR sensors are needed for use in vehicular applications, particularly due to their good behavior in low-light environments, as they represent a possible solution for the safety systems of vehicles that have a long braking distance, such as trams. The testing of long-range LiDAR dynamic responses is very important for vehicle applications because of the presence of difficult operation conditions, such as different weather conditions or fake targets between the sensor and the tracked vehicle. The goal of the authors in this paper was to develop an experimental model for indoor testing, using a scaled vehicle that can measure the distances and the speeds relative to a fixed or a moving obstacle. This model, containing a LiDAR sensor, was developed to operate at variable speeds, at which the software functions were validated by repeated tests. Once the software procedures are validated, they can be applied on the full-scale model. The findings of this research include the validation of the frontal distance and relative speed measurement methodology, in addition to the validation of the independence of the measurements to the color of the obstacle and to the ambient light.

show abstract

Connected and Autonomous Vehicles and Infrastructure Needs: Exploring Road Network Changes and Policy Interventions

Chatziioannou,

Tsigdinos,

Tzouras

et al. 2024

Wireless Networks

View full text Add to dashboard Cite

Tram drivers' perceived safety and driving stress evaluation. A stated preference experiment

Cited by 12 publications

References 19 publications

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

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

Experimental Validation of LiDAR Sensors Used in Vehicular Applications by Using a Mobile Platform for Distance and Speed Measurements

Connected and Autonomous Vehicles and Infrastructure Needs: Exploring Road Network Changes and Policy Interventions

Contact Info

Product

Resources

About