TRB Pubsindex
Text Size:

Title:

From Delay to Disruption: Impact of Service Degradation on Public Transport Networks

Accession Number:

01749132

Record Type:

Component

Availability:

Find a library where document is available


Order URL: http://worldcat.org/issn/03611981

Abstract:

Public transport networks (PTN) are affected daily by different types of disturbances. In fact, between a single delay and a long service interruption, there is a range of disruptions with different impacts, depending on their characteristics. Despite this, in literature, the common definition of disruption is a link closure for a certain amount of time. Low interest is given to different types of disruptions or to the connection between delays and disruptions. In addition, in multimodal PTN a physical link closure is not always observable, but rather people experience delays or cancelled stops on different lines. The aim of this work is to explore the relationship between delays and disruptions, analyzing different degrees of disruptions, in relation to duration, delay, size, and network characteristics. Real disturbances of the PTNs in Zürich and Bern, Switzerland, are analyzed to identify disruptions with different characteristics. Therefore, the disruption impact is computed on simulated origin–destinations (ODs), based on the sets of possible paths with and without the disruption. For this purpose, a choice set generation algorithm is used. Finally, relationships between the disruption characteristics and the impact are analyzed to identify the main features of a disruption.

Supplemental Notes:

© National Academy of Sciences: Transportation Research Board 2020.

Language:

English

Authors:

Marra, Alessio Daniele
Corman, Francesco

Pagination:

pp 886-897

Publication Date:

2020-10

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Volume: 2674
Issue Number: 10
Publisher: Sage Publications, Incorporated
ISSN: 0361-1981
EISSN: 2169-4052
Serial URL: http://journals.sagepub.com/home/trr

Media Type:

Web

Features:

References (26)

Subject Areas:

Operations and Traffic Management; Planning and Forecasting; Public Transportation

Files:

TRIS, TRB, ATRI

Created Date:

Aug 19 2020 3:04PM