An Empirical Study of Timetable Strategies and Their Effects on Punctuality

Forskningsoutput: KonferensbidragKonferenspaper, ej i proceeding/ej förlagsutgivet

Abstract

Punctuality in Sweden has been too low for several years, and there is now a goal in the industry that it must improve by more than five percentage points by 2020. Research has shown that timetable properties affect punctuality, and timetables can be changed relatively quickly and easily, compared to infrastructure and rolling stock. In this paper we study some strategies for assigning margins in timetables, and how they affect punctuality. The aim is to identify changes that can improve the punctuality of passenger trains. The study is based on a dataset containing detailed timetables and records of train movements for all trains in Sweden during the year of 2015, over 1.1 million departures. We find that every additional percentage point of margins improves punctuality by about 0.1 percentage points, and about the same for every percentage point increase in the weighted average distance of margins. It is common for margins on some line sections to be negative, which lowers punctuality by on average 4.1 percentage points. Small time supplements directly following station stops are associated with a punctuality drop of 2.5 percentage points. We also find that the number of interactions between trains at stations, and on line sections, lowers punctuality by 1.2 and 3.9 percentage points per instance, respectively. From these results we propose a package of changes to timetable planning which we estimate would improve overall punctuality by up to five percentage points.

Detaljer

Författare
Enheter & grupper
Externa organisationer
  • Norwegian University of Science and Technology
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Transportteknik och logistik

Nyckelord

Originalspråkengelska
Antal sidor20
StatusPublished - 2017 apr 6
PublikationskategoriForskning
Peer review utfördJa
Evenemang7th International Conference on Railway Operations Modelling and Analysis - Lille Grand Palais, Lille, Frankrike
Varaktighet: 2017 apr 52017 apr 7
Konferensnummer: 7
https://raillille2017.sciencesconf.org/

Konferens

Konferens7th International Conference on Railway Operations Modelling and Analysis
Förkortad titelRailLille2017
LandFrankrike
OrtLille
Period2017/04/052017/04/07
Internetadress

Nedladdningar

Ingen tillgänglig data

Relaterad forskningsoutput

Carl-William Palmqvist, Olsson, N. & Lena Hiselius, 2017 sep 5. 8 s.

Forskningsoutput: KonferensbidragKonferenspaper, ej i proceeding/ej förlagsutgivet

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Related projects

Carl-William Palmqvist

2016/01/012018/12/31

Projekt: Uppdragsforskning

Carl-William Palmqvist, Lena Winslott Hiselius & Nils Olsson

2016/01/012020/12/31

Projekt: Avhandling

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Relaterade aktiviteter

Palmqvist, C. (talare)
2017 apr 6

Aktivitet: Deltagit i eller arrangerat evenemangDeltagit i konferens

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