Micromobility: Uses and users of e-scooters in Greece DOI Creative Commons

Adrianos Gkatzias,

Georgios Palantzas, Dimitrios Nalmpantis

et al.

E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 585, P. 12004 - 12004

Published: Jan. 1, 2024

This paper study investigates the role and impact of e-scooters in urban mobility within Thessaloniki, Greece, focusing on usage patterns, user demographics, socio-economic environmental implications. A mixed-methods approach, incorporating both quantitative data from surveys qualitative insights interviews, was employed to develop a structured Google Forms questionnaire that disseminated e-scooter users Thessaloniki using modified snowball sampling technique. The survey revealed primary are young adults aged 18-27, predominantly students, who favor for their time efficiency, enjoyment, benefits. However, safety concerns inadequate infrastructure pose significant barriers wider adoption. findings highlight strong public support expanding network enhance connectivity convenience. Recommendations include developing dedicated infrastructure, implementing balanced regulatory measures, maintaining affordability, promoting awareness campaigns. Future research should explore integration with other transport modes assess long-term sustainability. contributes valuable policymakers aiming sustainable systems meet evolving needs.

Language: Английский

E-scooter safety under scrutiny: Examining crash patterns and injuries in the UK DOI Creative Commons
Xiao Li,

Si Qiao,

Greg Rybarczyk

et al.

Journal of Safety Research, Journal Year: 2024, Volume and Issue: 92, P. 292 - 305

Published: Dec. 13, 2024

Electric-powered scooters (E-scooters), as an emerging sustainable micromobility mode, are increasingly popular. However, safety concerns regarding the use of e-scooters also rising. For example, in 2022, 1,492 casualties resulting from e-scooter-involved crashes were observed 24 trial areas across UK. To enhance understanding e-scooter riding risks, this study conducted a nationwide crash analysis using UK dataset. It explores spatial and environmental contexts factors influencing severity. A comprehensive approach, including exploratory data analysis, latent class (LCA), chi-square test, logistic regression model, employed. Findings revealed distinctive spatiotemporal patterns compared to overall crashes, with higher incidence deprived communities. Three typologies identified LCA: night-time, morning, information-deficient. Multiple demographical found influence Compared trends, more prevalent urban high population density exhibit distinct peak afternoon. Night-time low-light conditions morning ample daylight two significant clusters. Factors such involvement riders aged 45 65 (Odd Ratio [OR] = 1.76) or > (OR 3.61), occurring at late night/early 2.29), rural locations 1.72) increased severity their respective reference groups. Moreover, highly communities not only experience number but contribute This underscores necessity for targeted interventions, providing campaigns training programs older individuals users residing dense areas. highlights need policies that address inequities, particularly through improved infrastructure enforcement lower-income crashes.

Language: Английский

Citations

1

PREDICTION OF DRIVING TIME OF ELECTRIC SCOOTER (E-SCOOTER) DRIVERS BY MACHINE LEARNING DOI Creative Commons
Hakan İnaç

Elektronik Sosyal Bilimler Dergisi, Journal Year: 2024, Volume and Issue: 23(91), P. 1041 - 1057

Published: April 18, 2024

This study aims to estimate the driving times of drivers who prefer electric scooter vehicles. In general, e-scooters reduce loss time caused by traffic jams because, thanks their smaller size and maneuverability, these vehicles provide rapid progress in urban journeys. E-scooters also offer an advantage finding a parking space easy more compact structure. this study, ML algorithms were used predict e-scooter The AB model has performed well with low Mean Square Error (MSE) value (0.005). Root (RMSE) Absolute (MAE) values are relatively (0.069 0.039, respectively), indicating that model's predictions close actual values. Also, high R-squared-Coefficient Determination (R2) (0.947) suggests explains data quite well, its approach accuracy. On other hand, GB algorithm poorly compared different algorithms, margin error accuracy rate. These results management estimating travel driver will make e-scooter. As result, opportunity save manage daily mobility effectively, attractive for transportation.

Language: Английский

Citations

0

Incorporating Human Factors into Scenario Languages for Automated Driving Systems DOI

Tudor Dodoiu,

Antonio Anastasio Bruto da Costa, Siddartha Khastgir

et al.

2022 IEEE Intelligent Vehicles Symposium (IV), Journal Year: 2024, Volume and Issue: unknown, P. 3009 - 3016

Published: June 2, 2024

Language: Английский

Citations

0

Reflections on urban E-bike governance: lessons from the Guangzhou case DOI

Yanqing Liao

Transportation Planning and Technology, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 22

Published: Aug. 9, 2024

E-bikes have become one of the main modes travel for urban residents in China; they provide convenient services but also present some problems traffic safety and management. In view social concerns caused by restrictions e-bikes Guangzhou, this study discusses how to improve e-bike development while considering management travel. This paper analyses comment data from Weibo WeChat Mini Software opinions netizens. addition, were reclassified into three different views. revealed that proponents opponents share same consensus should be strengthened. Additionally, with respect understanding restriction policy, conservative views suggest policy implementation is purposes supported. The radical restricting a size fits all which ignores demand riders, government strengthening central position motor vehicles. Finally, terms management, respondents believed planning legal construction strengthened managed reference motorized policies regulations protect rights interests parties.

Language: Английский

Citations

0

Can we enhance prosocial behavior? Using post-ride feedback to improve micromobility interactions DOI
Sidney T. Scott-Sharoni, Shashank Mehrotra, Kevin Salubre

et al.

Published: Sept. 11, 2024

Micromobility devices, such as e-scooters and delivery robots, hold promise for eco-friendly cost-effective alternatives future urban transportation. However, their lack of societal acceptance remains a challenge. Therefore, we must consider ways to promote prosocial behavior in micromobility interactions. We investigate how post-ride feedback can encourage the e-scooter riders while interacting with sidewalk users, including pedestrians robots. Using web-based platform, measure riders. Results found that successfully behavior, objective measures indicated better gap lower speeds at interaction, longer stopping time around other actors. The findings this study demonstrate efficacy provide step toward designing methodologies improve mobility users.

Language: Английский

Citations

0

Micromobility: Uses and users of e-scooters in Greece DOI Creative Commons

Adrianos Gkatzias,

Georgios Palantzas, Dimitrios Nalmpantis

et al.

E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 585, P. 12004 - 12004

Published: Jan. 1, 2024

This paper study investigates the role and impact of e-scooters in urban mobility within Thessaloniki, Greece, focusing on usage patterns, user demographics, socio-economic environmental implications. A mixed-methods approach, incorporating both quantitative data from surveys qualitative insights interviews, was employed to develop a structured Google Forms questionnaire that disseminated e-scooter users Thessaloniki using modified snowball sampling technique. The survey revealed primary are young adults aged 18-27, predominantly students, who favor for their time efficiency, enjoyment, benefits. However, safety concerns inadequate infrastructure pose significant barriers wider adoption. findings highlight strong public support expanding network enhance connectivity convenience. Recommendations include developing dedicated infrastructure, implementing balanced regulatory measures, maintaining affordability, promoting awareness campaigns. Future research should explore integration with other transport modes assess long-term sustainability. contributes valuable policymakers aiming sustainable systems meet evolving needs.

Language: Английский

Citations

0