2021
DOI: 10.1080/01441647.2021.1977415
|View full text |Cite
|
Sign up to set email alerts
|

Headway variability in public transport: a review of metrics, determinants, effects for quality of service and control strategies

Abstract: The most relevant issues related to headway variability in public transport planning, operations and quality of service are reviewed in this paper. We discuss the causes and consequences of headway variability, the alternative metrics that have been proposed to measure it, the preventive and reactive strategies to control headway variability in both research and practice, including the role of drivers and of present and future technology, and how service provision contracts might deal with headway variability … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
4
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 21 publications
(10 citation statements)
references
References 96 publications
0
4
0
Order By: Relevance
“…The external factors involved traffic flow volume, traffic accidents, signal plans at signalised intersections, weather conditions and parking along the line route. According to [13], the most influential elements that explain headway variability along a route are the irregularity of dispatching, scheduled frequency, route length, passenger demand and associated dwell times, and the number of stops. On the other hand, [14] presented a correlation model for predicting the total TT in the PT system based on the influence of the route elements.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The external factors involved traffic flow volume, traffic accidents, signal plans at signalised intersections, weather conditions and parking along the line route. According to [13], the most influential elements that explain headway variability along a route are the irregularity of dispatching, scheduled frequency, route length, passenger demand and associated dwell times, and the number of stops. On the other hand, [14] presented a correlation model for predicting the total TT in the PT system based on the influence of the route elements.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The two criteria that should be taken into consideration in this situation are vehicle size as well as number, both of which have a significant as well as direct impact on how well public transport operates as well as how well passengers perceive the quality of service. This is a symptom of a bigger issue called fleet management, in which government entities as well as private businesses try to control the procedure of passenger or freight transport facilities in order to meet consumer demand while achieving cost effectiveness [3]. Providing high-quality service to consumers while keeping fleet asset as well as operating costs within reason is a challenge in the area of urban public transport.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Ma [6] analyses the elements that affect how laws governing transport develop in China, proposes an evaluation standard, as well as establishes future transport structural goals as well as metrics. Using a generalized evaluation of the regional comprehensive transportation system, Hao as well as Meng [3] [5] analyses the influences of various modes of transportation before differentiating the traffic zones. This study advances the optimization notion of least resource consumption as well as establishes an optimization exemplary on the basis of referencing the research findings of predecessors [7].…”
Section: Introduction To Urban Passenger Transport Structurementioning
confidence: 99%
“…From a transit agency's perspective, having an unreliable and/or slow PT system negatively impacts ridership and operational costs (Hu & Shalaby, 2017; Perk, Flynn, & Volinski, 2008; Polus, 1978). This can lead to a negative feedback loop for PT systems by forcing passengers to seek alternatives, usually personal vehicles, which increase the number of cars on the road and exacerbates traffic congestion, further reducing the reliability of PT services (Arriagada, Gschwender, Munizaga, & Trépanier, 2019; Figliozzi, Feng, Lafferriere, & Feng, 2012; Tirachini, Godachevich, Cats, Muñoz, & Soza‐Parra, 2021). Additionally, poor reliability often leads to bus bunching (i.e., little to no gap between consecutive buses), excessive travel time, and passenger overcrowding in vehicles (Hu & Shalaby, 2017).…”
Section: Literature Reviewmentioning
confidence: 99%