Driver schedule efficiency vs. public transport robustness: A framework to quantify this trade-off based on passive data

Menno Yap; Niels van Oort

Driver schedule efficiency vs. public transport robustness: A framework to quantify this trade-off based on passive data

Transport and Planning

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

More complex, efficient driver schedules reduce operator costs during undisrupted operations, but increase the disruption impact for passengers and operator once a disruption occurs. We develop an integrated framework to quantify the passenger and operator costs of disruptions explicitly as function of different driver schedule schemes. Since the trade-off between driver schedule efficiency and robustness can be quantified, this supports operators in their decision-making.

Original language	English
Title of host publication	Proceedings of CASPT 2018
Subtitle of host publication	23-25 July, Brisbane, Australia
Number of pages	11
Publication status	Published - 2018
Event	Caspt 2018: 14th Conference on Advanced Systems in Public Transport and TransitData 2018 - Brisbane Convention and Exhibition Centre, Brisbane, Australia Duration: 23 Jul 2018 → 25 Jul 2018 Conference number: 14

Conference

Conference	Caspt 2018: 14th Conference on Advanced Systems in Public Transport and TransitData 2018
Abbreviated title	CASPT 2018
Country/Territory	Australia
City	Brisbane
Period	23/07/18 → 25/07/18

Keywords

Disruptions
Driver scheduling
Passenger perspective
Passive data
Public Transport
Robustness

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CASPT_2018_paper_5Accepted author manuscript, 272 KB

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title = "Driver schedule efficiency vs. public transport robustness: A framework to quantify this trade-off based on passive data",

abstract = "More complex, efficient driver schedules reduce operator costs during undisrupted operations, but increase the disruption impact for passengers and operator once a disruption occurs. We develop an integrated framework to quantify the passenger and operator costs of disruptions explicitly as function of different driver schedule schemes. Since the trade-off between driver schedule efficiency and robustness can be quantified, this supports operators in their decision-making.",

keywords = "Disruptions, Driver scheduling, Passenger perspective, Passive data, Public Transport, Robustness",

author = "Menno Yap and {van Oort}, Niels",

year = "2018",

language = "English",

booktitle = "Proceedings of CASPT 2018",

note = "Caspt 2018: 14th Conference on Advanced Systems in Public Transport and TransitData 2018, CASPT 2018 ; Conference date: 23-07-2018 Through 25-07-2018",

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AU - van Oort, Niels

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PY - 2018

Y1 - 2018

N2 - More complex, efficient driver schedules reduce operator costs during undisrupted operations, but increase the disruption impact for passengers and operator once a disruption occurs. We develop an integrated framework to quantify the passenger and operator costs of disruptions explicitly as function of different driver schedule schemes. Since the trade-off between driver schedule efficiency and robustness can be quantified, this supports operators in their decision-making.

AB - More complex, efficient driver schedules reduce operator costs during undisrupted operations, but increase the disruption impact for passengers and operator once a disruption occurs. We develop an integrated framework to quantify the passenger and operator costs of disruptions explicitly as function of different driver schedule schemes. Since the trade-off between driver schedule efficiency and robustness can be quantified, this supports operators in their decision-making.

KW - Disruptions

KW - Driver scheduling

KW - Passenger perspective

KW - Passive data

KW - Public Transport

KW - Robustness

M3 - Conference contribution

BT - Proceedings of CASPT 2018

Y2 - 23 July 2018 through 25 July 2018

ER -

Driver schedule efficiency vs. public transport robustness: A framework to quantify this trade-off based on passive data

Abstract

Conference

Keywords

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Cite this