Three's a crowd? Examining evolving public transit crowding standards amidst the COVID-19 pandemic [0.03%]
三人行必有一余？疫情下公共交通拥挤标准的重新审视
Tianxing Dai,Brian D Taylor
Tianxing Dai
The COVID-19 pandemic dramatically affected public transit systems around the globe. Because transit systems typically move many people closely together on buses and trains, public health guidance demanded that riders should keep a distance...
A supervised machine learning model for imputing missing boarding stops in smart card data [0.03%]
一种基于监督学习的智能卡数据缺失上车地点补全方法
Nadav Shalit,Michael Fire,Eran Ben-Elia
Nadav Shalit
Public transport has become an essential part of urban existence with increased population densities and environmental awareness. Large quantities of data are currently generated, allowing for more robust methods to understand travel behavi...
Sarthak Sahu,Saket Shanker,Aditya Kamat et al.
Sarthak Sahu et al.
The COVID-19 pandemic has left scars on the Indian public transportation system. In order to regain its original momentum, policymakers will need to assess the barriers hindering the effectiveness of the public transportation sector. In thi...
Optimization and public transport tendering: a case study in Southern Italy [0.03%]
优化与公共交通招标：意大利南部的一个案例研究
Vincenzo Corvello,Roberto Musmanno,Giuseppe Pavone et al.
Vincenzo Corvello et al.
This article presents a multi-start heuristic approach to a design problem motivated by a real-world application in the Italian transport system. Specifically, it focuses on the problem of designing optimal lots in the public transport orga...
Liping Ge,Stefan Voß,Lin Xie
Liping Ge
Network-based systems are at the core of our everyday life. Whether it is electronic networking, electricity grids or transportation, users expect the networks to function properly and provide a feeling of safety and security. However, ther...
Enhancing service quality of rural public transport during the COVID-19 pandemic: a novel fuzzy approach [0.03%]
新冠肺炎疫情期间改进农村公共交通服务品质的新型模糊数学方法研究
Hanumantha Rao Sama,Long-Sheng Chen,Venkateswarlu Nalluri et al.
Hanumantha Rao Sama et al.
In order to encourage the use of public transportation, it is necessary to make it more appealing to commuters by conducting frequent Service Quality (SQ) evaluations and modifications. Understanding passengers' expectations of public trans...
Holding times to maintain quasi-regular headways and reduce real-time bus bunching [0.03%]
停靠时间维护类固定发车间隔以减少实时公交合流现象的影响
Citlali M Olvera-Toscano,Yasmín Á Ríos-Solís,Roger Z Ríos-Mercado et al.
Citlali M Olvera-Toscano et al.
Real-time control strategies deal with the day's dynamics in bus rapid transit systems. This work focuses on minimizing the number of buses of the same line cruising head-to-tail or arriving at a stop simultaneously by implementing bus hold...
To increase or to decrease the price? Managing public transport queues during COVID-19 in the presence of strategic commuters [0.03%]
疫情期间如何应对通勤者的策略行为以有效管理公共交通运输载量及票价政策的研究
S Srivatsa Srinivas
S Srivatsa Srinivas
The impact of COVID-19 on urban travel behavior has been unprecedented. It has significantly influenced the travel mode choices of different urban commuters in various countries across the globe. Given that the public transport providers ne...
Analyzing public transport in the city of Buenos Aires with MobilityDB [0.03%]
利用MobilityDB分析布宜诺斯艾利斯市的公共交通
Juan Godfrid,Pablo Radnic,Alejandro Vaisman et al.
Juan Godfrid et al.
The General Transit Feed Specification (GTFS) is a data format widely used to share data about public transportation schedules and associated geographic information. GTFS comes in two versions: GTFS Static describing the planned itineraries...
Investigating spatio-temporal mobility patterns and changes in metro usage under the impact of COVID-19 using Taipei Metro smart card data [0.03%]
基于台北捷运智能卡数据探究COVID-19对地铁使用影响下的时空出行模式及变化规律
Christian Martin Mützel,Joachim Scheiner
Christian Martin Mützel
Modern public transit systems are often run with automated fare collection (AFC) systems in combination with smart cards. These systems passively collect massive amounts of detailed spatio-temporal trip data, thus opening up new possibiliti...