Barriers, Adoption, and Use of a Bike-Sharing System: A Market-Segment Approach to Current and Potential Users in Montréal, Canada [0.03%]
共享单车系统的障碍、采纳和使用：加拿大蒙特利尔现有及潜在用户的市场细分方法研究
Panagiotis Goudis,Rodrigo Victoriano-Habit,Thiago Carvalho et al.
Panagiotis Goudis et al.
Bike-sharing systems have gained considerable traction as a solution to many urban transport challenges. (Note that, in this paper, "bike" means "bicycle," not "motorbike".) Limited research has explored the market dynamics driving bike-sha...
Behavior of a Person-Following Robot in Pedestrian Environments: Laboratory Experimentation and Simulation [0.03%]
人跟随之机器人在行人环境中的行为：实验室实验与仿真
Ruowei Li,Farah Ghizzawi,Tho V Le et al.
Ruowei Li et al.
As e-commerce continues to grow, the demand for fast and efficient last-mile delivery is increasing. Person-following robots is a solution that is now beginning to be deployed to assist foot couriers in performing last-mile delivery tasks i...
Spatial Transferability of Expansion Factors for Estimating Pedestrian Volume at Intersections [0.03%]
扩张因子的空间转移性在估计交叉口行人流量中的应用研究
Lucas Tito Pereira Sobreira,Bruce Hellinga
Lucas Tito Pereira Sobreira
Pedestrian exposure at intersections is a key input for jurisdictions to develop pedestrian-centric strategies. Exposure is typically expressed as the annual average daily pedestrian traffic (AADPT). The expansion factor method is the most ...
Grace O Kagho,Milos Balac,Kay W Axhausen
Grace O Kagho
Mobility on demand (MoD) services like ride-hailing, ride-sharing, and car-sharing are changing travel behavior by providing increased options and flexibility. These services can be best understood and planned for through the use of detaile...
If You Cut It Will They Ride? Longitudinal Examination of the Elasticity of Public Transport Ridership in the Post-Pandemic Era [0.03%]
后疫情时代公共交通运输需求弹性的纵向考察
Paul Redelmeier,Ahmed El-Geneidy
Paul Redelmeier
In the past two years, public transport ridership has declined because of COVID-19 pandemic health measures and new working from home policies. This decline in ridership has caused major financial stress on public transport agencies around ...
Modeling Freight Vehicle Type Choice using Machine Learning and Discrete Choice Methods [0.03%]
基于机器学习和离散选择模型的货运车型选择行为预测研究
Usman Ahmed,Matthew J Roorda
Usman Ahmed
The choice of vehicle type is one of the important logistics decisions made by firms. The complex nature of the choice process is because of the involvement of multiple agents. This study employs a random forest machine learning algorithm t...
Investigating Combined Impact of Adverse Road-Weather Conditions and Heavy Vehicles on Saturation Headway [0.03%]
恶劣路况和重载交通对饱和头车间距的综合影响研究
Ryutaro Hirose,Babak Mehran,Agnivesh Pani
Ryutaro Hirose
Adverse road-weather (RW) conditions make driving behavior more conservative and the headway during saturated conditions longer, leading to a significant reduction in the capacity of signalized intersections. Past studies indicate that the ...
Using Twitter to Gauge Customer Satisfaction Response to a Major Transit Service Change in Calgary, Canada [0.03%]
利用Twitter分析加拿大卡尔加里重大交通服务变更事件中的客户满意度反应
Rami Al-Sahar,Willem Klumpenhouwer,Amer Shalaby et al.
Rami Al-Sahar et al.
Measuring public opinion about the quality of transit services is a key factor in understanding and addressing customer dissatisfaction and increasing customer loyalty and ridership. Sentiment analysis using social media-in particular Twitt...
Muntahith Mehadil Orvin,Jashan Kaur Bachhal,Mahmudur Rahman Fatmi
Muntahith Mehadil Orvin
This paper presents the findings on modeling the demand for shared e-scooter services (SES); specifically, spatio-temporal variation of SES demand. A zero-inflated negative binomial (ZINB) model is developed using the count data of trip ori...
Automated Object Detection, Mapping, and Assessment of Roadside Clear Zones Using Lidar Data [0.03%]
基于Lidar数据的路侧净空区自动化检测、制图与评估技术研究
Maged Gouda,Bruno Arantes de Achilles Mello,Karim El-Basyouny
Maged Gouda
This paper proposes a fully automated approach to map and assess roadside clearance parameters using mobile Light Detection and Ranging (lidar) data on rural highways. Compared with traditional manual surveying methods, lidar data could pro...