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Ait Ali, A., Eliasson, J. & Warg, J. (2022). Are commuter train timetables consistent with passengers' valuations of waiting times and in-vehicle crowding?. Transport Policy, 116, 188-198
Open this publication in new window or tab >>Are commuter train timetables consistent with passengers' valuations of waiting times and in-vehicle crowding?
2022 (English)In: Transport Policy, ISSN 0967-070X, E-ISSN 1879-310X, Vol. 116, p. 188-198Article in journal (Refereed) Published
Abstract [en]

Social cost-benefit analysis is often used to analyse transport investments, and can also be used for transport operation planning and capacity allocation. If it is to be used for resolving capacity conflicts, however, it is important to know whether transit agencies' timetable requests are consistent with the cost-benefit framework, which is based on passenger preferences. We show how a public transport agency's implicit valuations of waiting time and crowding can be estimated by analysing timetables, apply the method to commuter train timetables in Stockholm, and compare the implicit valuations to the corresponding passenger valuations in the official Swedish cost-benefit analysis guidelines. The results suggest that the agency puts a slightly lower value on waiting time and crowding than the passenger valuations codified in the official guidelines. We discuss possible reasons for this and implications for using cost-benefit analysis for capacity allocation. We also find that optimal frequencies are more sensitive to the waiting time valuation than to that of crowding.

Place, publisher, year, edition, pages
Elsevier, 2022
Keywords
Waiting time, Crowding, Cost-benefit analysis, Implicit preference, Commuter train
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:liu:diva-181610 (URN)10.1016/j.tranpol.2021.11.025 (DOI)000751667100001 ()
Projects
SamEff
Funder
Swedish Transport Administration
Note

Funding: Swedish Transport Administration (Trafikverket) [samhadllsekonomiskt effektiv tilldelning av kapacitet pa jadrnvadgar]

Available from: 2021-12-03 Created: 2021-12-03 Last updated: 2023-01-10Bibliographically approved
Ait Ali, A. & Eliasson, J. (2022). European Railway Deregulation: An overview of market organization and capacity allocation. Transportmetrica A: Transport Science, 18(3), 594-618
Open this publication in new window or tab >>European Railway Deregulation: An overview of market organization and capacity allocation
2022 (English)In: Transportmetrica A: Transport Science, ISSN 2324-9935, E-ISSN 2324-9943, Vol. 18, no 3, p. 594-618Article in journal (Refereed) Published
Abstract [en]

Railway markets in Europe have been reorganized to allow competition between different operators. Thus, European railways have been vertically separated, separating infrastructure management from provisions of train services. This allows several train operators to compete for passengers and freight services. Different ways have emerged for vertical separation, capacity allocation and track access charges. This paper reviews, compares and discusses important deregulation aspects, using examples from a number of European countries to show different possible solutions. The study describes how competition has been introduced and regulated, with a particular focus on describing the different ways capacity is allocated and how conflicting requests by different train operators are resolved. It also reviews the related issue of how access charges are constructed and applied. Although guided by the same European legislation, we conclude that the studied railways have different deregulation outcomes, e.g., market organization, capacity allocation. Besides, few countries have so far managed to create efficient and transparent processes for allocating capacity between competing train operators. Although allowed by the legislation, market-based allocation is absent or never used. In order to foster more competition which can yield substantial social benefits, the survey indicates that most European railways still need to develop and experiment with more efficient and transparent capacity allocation procedures.

Place, publisher, year, edition, pages
Taylor & Francis, 2022
Keywords
Railway deregulation, Vertical separation, Competition, Capacity allocation, Access charges
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:liu:diva-173445 (URN)10.1080/23249935.2021.1885521 (DOI)000621709500001 ()
Note

Funding: This research is part of the project Socio-economically efficient allocation of railway capacity, SamEff (Samhallsekonomiskt effektiv tilldelning av kapacitet pa jarnvagar) which is funded by a grant from the Swedish Transport Administration (Trafikverket). The authors are grateful to Jan-Eric Nilsson and Yves Crozet for reference recommendations as well as Russell Pittman, Steven Harrod, Roger Pyddoke and several anonymous reviewers for the valuable discussions and comments.

Available from: 2021-02-19 Created: 2021-02-19 Last updated: 2022-10-17
Eliasson, J. (2022). Räkna inte med mindre restid efter pandemin. Kvartal
Open this publication in new window or tab >>Räkna inte med mindre restid efter pandemin
2022 (Swedish)In: Kvartal, ISSN 2002-6269Article in journal (Other academic) Published
Abstract [sv]

Historiska data visar att vi i genomsnitt lägger ungefär en timme per person och dag på att resa, oavsett samhällets förändringar. Vi gör därför klokt i att inte hänga upp vår klimat-, miljö- eller transportpolitik på förhoppningen att resandet kommer att minska efter pandemin, skriver professorn i transportsystem Jonas Eliasson.  

National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:liu:diva-193891 (URN)
Available from: 2023-05-17 Created: 2023-05-17 Last updated: 2023-05-26Bibliographically approved
Ait Ali, A. & Eliasson, J. (2022). The value of additional data for public transport origin–destination matrix estimation. Public Transport, 14(2), 419-439
Open this publication in new window or tab >>The value of additional data for public transport origin–destination matrix estimation
2022 (English)In: Public Transport, ISSN 1866-749X, E-ISSN 1613-7159, Vol. 14, no 2, p. 419-439Article in journal (Refereed) Published
Abstract [en]

Passenger origin–destination data is an important input for public transport planning. In recent years, new data sources have become increasingly common through the use of the automatic collection of entry counts, exit counts and link flows. However, collecting such data can be sometimes costly. The value of additional data collection hence has to be weighed against its costs. We study the value of additional data for estimating time-dependent origin–destination matrices, using a case study from the London Piccadilly underground line. Our focus is on how the precision of the estimated matrix increases when additional data on link flow, destination count and/or average travel distance is added, starting from origin counts only. We concentrate on the precision of the most policy-relevant estimation outputs, namely, link flows and station exit flows. Our results suggest that link flows are harder to estimate than exit flows, and only using entry and exit data is far from enough to estimate link flows with any precision. Information about the average trip distance adds greatly to the estimation precision. The marginal value of additional destination counts decreases only slowly, so a relatively large number of exit station measurement points seem warranted. Link flow data for a subset of links hardly add to the precision, especially if other data have already been added.

Place, publisher, year, edition, pages
Springer, 2022
Keywords
Dynamic origin-destination; OD estimation; entropy maximization; lagrangian relaxation; smart card; public transport
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:liu:diva-179343 (URN)10.1007/s12469-021-00282-0 (DOI)000695756100001 ()
Projects
SamEff
Funder
Swedish Transport Administration
Note

Funding: Swedish National Road and Transport Research Institute (VTI); Swedish Transport Administration (Trafikverket)

Available from: 2021-09-19 Created: 2021-09-19 Last updated: 2022-10-14
Eliasson, J. (2022). Will we travel less after the pandemic?. Transportation Research Interdisciplinary Perspectives, 13, Article ID 100509.
Open this publication in new window or tab >>Will we travel less after the pandemic?
2022 (English)In: Transportation Research Interdisciplinary Perspectives, ISSN 2590-1982, Vol. 13, article id 100509Article in journal (Refereed) Published
Abstract [en]

During the pandemic, passenger transport has decreased dramatically due to restrictions and recommendations to avoid social contacts. Hopes and expectations have been raised that experiences, habits and improved digital services developed or discovered during the pandemic can lead to a permanent decrease of travel volumes even in the long run, thereby reducing emissions, noise and congestion. This paper discusses this question, based on descriptive analyses of historical development of travel distances and travel times in Sweden, including a description of how transportation changed in Sweden during the pandemic. Obviously, it is too early to give a conclusive answer regarding long run effects, but judging from historical experiences of previous improvements in transportation and communication, it seems unlikely that increased digital experience, improved digital services or changed habits will lead to permanently reduced travel volumes. It appears more likely that improved digital services and increased digital maturity will continue to transform work, shopping and leisure, but that this will not translate into decreased physical travel to any large extent.

Place, publisher, year, edition, pages
Elsevier, 2022
Keywords
Covid-19; Travel behavior
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:liu:diva-193889 (URN)10.1016/j.trip.2021.100509 (DOI)2-s2.0-85120861909 (Scopus ID)
Available from: 2023-05-17 Created: 2023-05-17 Last updated: 2023-10-09Bibliographically approved
Eliasson, J. (2021). Distributional effects of congestion charges and fuel taxes. In: Roger Vickerman (Ed.), International Encyclopedia of Transportation: . Elsevier
Open this publication in new window or tab >>Distributional effects of congestion charges and fuel taxes
2021 (English)In: International Encyclopedia of Transportation / [ed] Roger Vickerman, Elsevier, 2021Chapter in book (Refereed)
Place, publisher, year, edition, pages
Elsevier, 2021
National Category
Transport Systems and Logistics Economics
Identifiers
urn:nbn:se:liu:diva-181518 (URN)9780081026717 (ISBN)
Available from: 2021-11-29 Created: 2021-11-29 Last updated: 2021-12-01
Eliasson, J. (2021). Efficient transport pricing–why, what, and when?. Communications in Transportation Research, 1
Open this publication in new window or tab >>Efficient transport pricing–why, what, and when?
2021 (English)In: Communications in Transportation Research, ISSN 2772-4247, Vol. 1Article in journal (Refereed) Published
Abstract [en]

Striking a balance between societal benefits and costs of transportation lies at the heart of transport planning and transport systems analysis. Increased transport and urbanization enable the many benefits of modern socieities through specialization of labour, production and lifestyles – but these trends simultaneously increase the drawbacks of transportation, such as carbon emissions, congestion, noise and air quality problems. Technical developments and improved infrastrastructure can help reduce these drawbacks, but they do not solve the fundamental problem that those reaping the benefits of transport – travellers, firms, customers – do not perceive the full social costs of transportation. To balance transport costs and benefits, efficient pricing is necessary. Despite a wealth of theoretical arguments, technical developments and substantial practical experience, efficient transport pricing is still rare. Focusing on the example of urban congestion pricing, this paper summarizes why transport pricing is needed, lessons learnt from practical experience, and what the main obstacles are. The two most important obstacles seem to be political power struggles between different levels of governments, and that even if total social gains vastly exceed total social losses, the losses tend to be more salient; losers tend to be easy to identify, while winners tend to be more dispersed and perhaps only exist in the future.

Place, publisher, year, edition, pages
Elsevier, 2021
Keywords
Congestion charges, Road pricing, Congestion pricing, Intelligent transportation systems
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:liu:diva-181516 (URN)10.1016/j.commtr.2021.100006 (DOI)
Note

Co-published by Tsinghua University Press and Elsevier.

Available from: 2021-11-29 Created: 2021-11-29 Last updated: 2021-12-20Bibliographically approved
Eliasson, J. & Unemo, L. (Eds.). (2021). I en tid av pandemi: en ESO-antologi med samhällsvetenskapliga reflektioner. Stockholm: Regeringskansliet, Finansdepartementet ;
Open this publication in new window or tab >>I en tid av pandemi: en ESO-antologi med samhällsvetenskapliga reflektioner
2021 (Swedish)Collection (editor) (Other academic)
Place, publisher, year, edition, pages
Stockholm: Regeringskansliet, Finansdepartementet ;, 2021. p. 181
Series
Expertgruppen för studier i offentlig ekonomi ; 2001:1
Keywords
Coronapandemin 2019-2020, Kriser, Krishantering, Sverige
National Category
Economics
Identifiers
urn:nbn:se:liu:diva-180456 (URN)9789152500682 (ISBN)9789152500699 (ISBN)
Available from: 2021-10-21 Created: 2021-10-21 Last updated: 2021-12-09Bibliographically approved
Eliasson, J. (2021). Kommer vi resa mindre efter pandemin?. In: Jonas Eliasson, Lena Unemo (Ed.), I en tid av pandemi: en ESO-antologi med samhällsvetenskapliga reflektioner (pp. 127-150). Stockholm: Regeringskansliet, Finansdepartementet, Sidorna 127-150
Open this publication in new window or tab >>Kommer vi resa mindre efter pandemin?
2021 (English)In: I en tid av pandemi: en ESO-antologi med samhällsvetenskapliga reflektioner / [ed] Jonas Eliasson, Lena Unemo, Stockholm: Regeringskansliet, Finansdepartementet , 2021, Vol. Sidorna 127-150, p. 127-150Chapter in book (Other academic)
Place, publisher, year, edition, pages
Stockholm: Regeringskansliet, Finansdepartementet, 2021
Keywords
Coronapandemin 2019-2020, Resvanor, Resor
National Category
Social Sciences
Identifiers
urn:nbn:se:liu:diva-180558 (URN)9789152500682 (ISBN)
Available from: 2021-10-26 Created: 2021-10-26 Last updated: 2021-12-01Bibliographically approved
Ait Ali, A., Lindberg, P. O., Eliasson, J., Nilsson, J.-E. & Peterson, A. (2020). A disaggregate bundle method for train timetabling problems. Journal of Rail Transport Planning & Management, 16, Article ID 100200.
Open this publication in new window or tab >>A disaggregate bundle method for train timetabling problems
Show others...
2020 (English)In: Journal of Rail Transport Planning & Management, ISSN 2210-9706, E-ISSN 2210-9714, Vol. 16, article id 100200Article in journal (Refereed) Published
Abstract [en]

The train timetabling problem (TTP) consists of finding a feasible timetable for a number of trains which minimises some objective function, e.g., sum of running times or deviations from ideal departure times. One solution approach is to solve the dual problem of the TTP using so-called bundle methods. This paper presents a new bundle method that uses disaggregate data, as opposed to the standard bundle method which in a certain sense relies on aggregate data. We compare the disaggregate and aggregate methods on realistic train timetabling scenarios from the Iron Ore line in Northern Sweden. Numerical results indicate that the proposed disaggregate method reaches better solutions faster than the standard aggregate approach.

Keywords
Train timetabling, Disaggregation, Bundle methods, Lagrangian relaxation, Mathematical programming
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:liu:diva-165781 (URN)10.1016/j.jrtpm.2020.100200 (DOI)000597313000002 ()
Projects
SamEff
Funder
Swedish Transport Administration
Note

The accepted version is also available on the author's home page: 

http://abdeaitali.github.io/

Funding agencies: Swedish Transport Administration (Trafikverket)

Available from: 2020-05-24 Created: 2020-05-24 Last updated: 2021-12-01
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-1789-9238

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