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Odolinski, Kristofer
Publications (10 of 25) Show all publications
Odolinski, K. (2019). Contract design and performance of railway maintenance: Effects of incentive intensity and performance incentive schemes. Economics of Transportation, 18, 50-59
Open this publication in new window or tab >>Contract design and performance of railway maintenance: Effects of incentive intensity and performance incentive schemes
2019 (English)In: Economics of Transportation, ISSN 2212-0122, E-ISSN 2212-0130, Vol. 18, p. 50-59Article in journal (Refereed) Published
Abstract [en]

In this paper we study the effect of contract design on the performance of railway maintenance in Sweden, using a panel data set over the period 2003-2013. The effect of incentive intensity is estimated, showing that the power of incentive schemes improve performance as measured by the number of infrastructure failures. In addition, we show that the structure of the performance incentive schemes has resulted in a reallocation of effort from failures not causing train delays to failures causing train delays, with a substantial increase in the former type of failures. This signals a deteriorating asset condition, which highlights the need to consider the long-term effects of this incentive structure. Overall, this work shows that the design of the incentive structures has a large impact on the performance of maintenance, and that the estimated effects are important to consider when assessing contract designs within this field.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE BV, 2019
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:vti:diva-14005 (URN)10.1016/j.ecotra.2019.05.001 (DOI)000470120800005 ()2-s2.0-85066439189 (Scopus ID)
Available from: 2019-08-19 Created: 2019-08-19 Last updated: 2019-08-19Bibliographically approved
Odolinski, K. (2019). Estimating the Impact of Traffic on Rail Infrastructure Maintenance Costs The Importance of Axle Loads. Journal of Transport Economics and Policy, 53, 258-274
Open this publication in new window or tab >>Estimating the Impact of Traffic on Rail Infrastructure Maintenance Costs The Importance of Axle Loads
2019 (English)In: Journal of Transport Economics and Policy, ISSN 0022-5258, E-ISSN 1754-5951, Vol. 53, p. 258-274Article in journal (Refereed) Published
Abstract [en]

In this paper, we estimate the impact of axle loads on rail infrastructure maintenance costs. The results show that cost elasticities with respect to traffic increase with axle load. Using these elasticities, we calculate marginal costs for traffic that are differentiated with respect to the trains' average tonnage per axle. The results are relevant when setting track access charges in Europe as well as for railway cost studies in general, considering that the empirical evidence in this paper gives support to the engineering perspective - that is, axle loads are important to consider when assessing the damage caused by traffic.

Place, publisher, year, edition, pages
University of Bath, 2019
National Category
Infrastructure Engineering
Identifiers
urn:nbn:se:vti:diva-14066 (URN)000473271800004 ()
Available from: 2019-09-09 Created: 2019-09-09 Last updated: 2019-09-09Bibliographically approved
Odolinski, K. & Pyddoke, R. (2019). Price elasticities of demand for (garage) parking in Stockholm. Stockholm: VTI
Open this publication in new window or tab >>Price elasticities of demand for (garage) parking in Stockholm
2019 (English)Report (Other academic)
Abstract [en]

There is scope for generating welfare effects by changing parking fees, where knowledge on price elasticities are central elements in the implementation of an efficient parking policy. In this paper, we estimate price elasticities of demand for five parking garages in the central business district of Stockholm, using transaction data and a price increase implemented in January 2017. The econometric results for the purchased parking hours show an average elasticity estimate at -0.60, while the effect on the decision to park is -0.45. These elasticities vary for the different parking garages, showing that there is a considerable heterogeneity between garages, even within the central business district, which needs to be considered for an efficient parking policy. Based on our estimated elasticity for garage parking (-0.60) and a willingness to pay a premium for curbside parking in previous research, we calculate a proxy for the elasticity of curbside parking in Stockholm, which is found to be -0.39.

Place, publisher, year, edition, pages
Stockholm: VTI, 2019. p. 29
Series
CTS Working Paper ; 2019:2
National Category
Economics
Identifiers
urn:nbn:se:vti:diva-14295 (URN)
Available from: 2019-10-28 Created: 2019-10-28 Last updated: 2019-10-30Bibliographically approved
Odolinski, K. (2019). The impact of cumulative tonnes on track failures: an empirical approach. Stockholm: VTI
Open this publication in new window or tab >>The impact of cumulative tonnes on track failures: an empirical approach
2019 (English)Report (Other academic)
Abstract [en]

Cost-benefit analysis is often used in appraisal of rail infrastructure investments. A corresponding decision support is, however, not available for rail infrastructure maintenance and renewal. To for example decide whether to renew or continue to maintain an infrastructure asset, a relationship between cumulative traffic and infrastructure failures is required. This relationship is established in this paper, using an empirical (top-down) approach on Swedish data for years 2003 to 2016. It is shown that the average elasticity for track failures with respect to cumulative tonnes is 0.32, and that the elasticity varies for different levels of traffic and for different infrastructure characteristics. The results in this paper can for example be used to calculate the impact cumulative tonnes have on train delay costs, which together with a relationship between cumulative traffic and infrastructure maintenance costs are essential in an economic optimization of maintenance and renewal activities.

Place, publisher, year, edition, pages
Stockholm: VTI, 2019. p. 27
Series
CTS Working Paper ; 2019:1
National Category
Economics
Identifiers
urn:nbn:se:vti:diva-13904 (URN)
Available from: 2019-06-20 Created: 2019-06-20 Last updated: 2019-06-20Bibliographically approved
Odolinski, K. & Wheat, P. (2018). Dynamics in rail infrastructure provision: Maintenance and renewal costs in Sweden. Economics of Transportation
Open this publication in new window or tab >>Dynamics in rail infrastructure provision: Maintenance and renewal costs in Sweden
2018 (English)In: Economics of Transportation, ISSN 2212-0122, E-ISSN 2212-0130Article in journal (Refereed) In press
Abstract [en]

In this paper, we extend to the literature on marginal wear and tear cost estimation in railways, by applying a panel vector autoregressive model to rail infrastructure renewals and maintenance costs, using an extensive dataset from Sweden. This study is significant given the inherent difficulties in modelling the substantial renewals element of infrastructure costs, as well as the need to account for the dynamics in renewals and maintenance. The dynamic model allows us to estimate equilibrium cost elasticities with respect to train usage, which are significantly larger than their static counterparts. Overall, this work highlights that dynamics in rail infrastructure costs are important to consider when setting track access charges with respect to the wear and tear caused by traffic. This is particularly important given several countries, for example France, Sweden and Switzerland, are now setting access charges at marginal costs based on econometric studies.

Keywords
Railway, Maintenance, Cost, Wear, Prediction, Dynamics, Mathematical model
National Category
Economics
Research subject
J00 Railway: General works, surveys, comprehensive works, J01 Railway: Railway track; J00 Railway: General works, surveys, comprehensive works, J13 Railway: Economics
Identifiers
urn:nbn:se:vti:diva-12789 (URN)10.1016/j.ecotra.2018.01.001 (DOI)
Available from: 2018-02-24 Created: 2018-02-24 Last updated: 2018-05-18Bibliographically approved
Odolinski, K. (2018). Marginalkostnader för järnvägsunderhåll: trafikens påverkan på olika anläggningar. Stockholm: VTI
Open this publication in new window or tab >>Marginalkostnader för järnvägsunderhåll: trafikens påverkan på olika anläggningar
2018 (Swedish)Report (Other academic)
Abstract [sv]

En del av banavgiften för nyttjandet av infrastrukturen består av kostnader för järnvägsunderhåll som uppstår som en direkt följd av tågtrafiken. Då nedbrytning och slitage av vissa järnvägsanläggningar och komponenter inte påverkas av trafik, kan det göras gällande att underhållskostnader för dessa inte bör ingå i en marginalkostnadsbaserad avgift. I denna studie skattar vi kostnadselasticiteter med en ekonometrisk metod för att undersöka om och hur trafik påverkar underhållskostnader för olika grupper av järnvägsanläggningar. Resultaten visar att det finns statistiskt signifikanta samband mellan trafik och underhållskostnader för anläggningsgrupperna Bana, El, Signal och Tele. En förklaring till sambanden för exempelvis signal- och teleanläggningar är att mer förebyggande underhåll genomförs för att upprätthålla en viss tillförlitlighet hos anläggningen när trafiken ökar och därmed undvika en ökad kostnad för inställda och försenade tåg – en kostnad som kan öka oavsett om mer trafik orsakar en ökad nedbrytning eller inte.

Place, publisher, year, edition, pages
Stockholm: VTI, 2018. p. 42
Series
CTS Working Paper ; 2018:24
National Category
Infrastructure Engineering Economics
Identifiers
urn:nbn:se:vti:diva-13712 (URN)
Available from: 2019-04-30 Created: 2019-04-30 Last updated: 2019-04-30Bibliographically approved
Nilsson, J.-E. & Odolinski, K. (2018). Marginalkostnader för reinvesteringar i järnvägsanläggningar: en delrapport inom SAMKOST 3. Stockholm: VTI
Open this publication in new window or tab >>Marginalkostnader för reinvesteringar i järnvägsanläggningar: en delrapport inom SAMKOST 3
2018 (Swedish)Report (Other academic)
Abstract [sv]

Reinvesteringar i järnvägsanläggningar påverkas av trafik och utgör därför en komponent i marginalkostnaden för nyttjandet av infrastrukturen. Tidigare studier har traditionellt fokuserat på reinvesteringskostnader i banöverbyggnad. I denna studie skattas separata marginalkostnader för reinvesteringar i Bana (banöverbyggnad, banunderbyggnad, bangårdar), El, Signal, Tele och Övriga anläggningar. Trots att slitage av exempelvis signal- och teleanläggningar inte torde variera med trafik, finner vi statistiskt signifikanta samband mellan trafik och reinvesteringar i samtliga anläggningar. En förklaring är att trafikökningen innebär en ökad störningskostnad, även i frånvaron av ett trafikberoende slitage, och därmed att reinvesteringen tidigareläggs. Analysen visar även att de skattade effekterna främst kommer från jämförelser mellan bandelar, vilket innebär en risk att de (delvis) är korrelationer och inte kausala samband mellan trafik och reinvesteringar. När marginalkostnaderna för anläggningsgrupperna läggs samman hamnar de på 0,0141 kr per bruttotonkilometer och 4,4520 kr per tågkilometer.

Place, publisher, year, edition, pages
Stockholm: VTI, 2018. p. 50
Series
CTS Working Paper ; 2018:22
National Category
Economics Infrastructure Engineering
Identifiers
urn:nbn:se:vti:diva-13714 (URN)
Available from: 2019-04-30 Created: 2019-04-30 Last updated: 2019-04-30Bibliographically approved
Odolinski, K. & Boysen, H. E. E. (2018). Railway line capacity utilisation and its impact on maintenance costs. Journal of Rail Transport Planning & Management
Open this publication in new window or tab >>Railway line capacity utilisation and its impact on maintenance costs
2018 (English)In: Journal of Rail Transport Planning & Management, ISSN 2210-9706, E-ISSN 2210-9714Article in journal (Refereed) In press
Abstract [en]

In this paper, we analyse how railway maintenance costs are affected by different levels of railway line capacity utilisation. Previous studies have focused on the wear and tear of the infrastructure, while this paper shows that it is important to also acknowledge the heterogeneity of the maintenance production environment. Specifically, we estimate marginal maintenance costs for traffic using econometric methods on a panel dataset from Sweden and show that these costs increase with line capacity utilisation. The results are significant considering that current EU regulation (2015/909) states that track access charges can be based on marginal costs, with the aim of achieving an efficient use of available infrastructure capacity.

Place, publisher, year, edition, pages
Elsevier, 2018
Keywords
Railway track, Maintenance, Cost, Capacity (traffic network), Impact study, Use
National Category
Transport Systems and Logistics
Research subject
J00 Railway: General works, surveys, comprehensive works, J13 Railway: Economics; J00 Railway: General works, surveys, comprehensive works, J01 Railway: Railway track
Identifiers
urn:nbn:se:vti:diva-13552 (URN)10.1016/j.jrtpm.2018.12.001 (DOI)2-s2.0-85058193099 (Scopus ID)
Available from: 2019-01-30 Created: 2019-01-30 Last updated: 2019-03-15Bibliographically approved
Odolinski, K., Yarmukhamedov, S., Nilsson, J.-E. & Haraldsson, M. (2018). The marginal cost of track reinvestments in the Swedish railway network: using data to compare methods. Stockholm
Open this publication in new window or tab >>The marginal cost of track reinvestments in the Swedish railway network: using data to compare methods
2018 (English)Report (Other academic)
Abstract [en]

In this study, we analyze the difference between survival and corner solution models in estimating the marginal cost of reinvestments. Both approaches describe the reinvestment process in rather intuitively similar ways but have several methodological distinctions. We use Swedish railway data on track segment and section levels over the period 1999-2016 and focus on reinvestments in track superstructure. Results suggest the marginal costs from survival and corner solution models are SEK 0.0041 and SEK 0.0103, respectively. The conclusion is that the corner solution model is more appropriate, as this method consider the impact traffic has on the risk of reinvestment as well as on the size of the reinvestment cost. The survival approach does not consider the latter, which is problematic when we have systematic variations in costs due to traffic and infrastructure characteristics.

Place, publisher, year, edition, pages
Stockholm: , 2018. p. 20
Series
CTS Working Paper ; 2018:20
National Category
Economics Infrastructure Engineering
Identifiers
urn:nbn:se:vti:diva-13363 (URN)
Available from: 2018-11-09 Created: 2018-11-09 Last updated: 2018-11-09Bibliographically approved
Odolinski, K. (2017). Behov av statistik om godstågens tillförlitlighet: en förstudie. Linköping: Statens väg- och transportforskningsinstitut
Open this publication in new window or tab >>Behov av statistik om godstågens tillförlitlighet: en förstudie
2017 (Swedish)Report (Other academic)
Alternative title[en]
Needs of statistics on freight train reliability : a pre-study
Abstract [sv]

Den officiella statistiken om bantrafikens tillförlitlighet i Sverige omfattar i dagsläget endast passagerartåg. Även godstågens tillförlitlighet bör vara en del av den statistiken, vilket leder till frågor om vilken information som bör ingå och hur den ska beskrivas. Denna förstudie tar fram ett kunskapsunderlag för den nödvändiga statistikutvecklingen, där utgångspunkten är användarnas nuvarande och potentiella behov av statistik om godstågens tillförlitlighet.

Tillförlitlighet är i detta sammanhang ett transportsystems förmåga att följa fastställd tidtabell, utifrån vilken användare har organiserat sina aktiviteter. En störning i trafiken, såsom en försening eller ett inställt tåg, skapar variationer i tillförlitlighet, en händelse som bör karaktäriseras på fler sätt än dess frekvens för att möta olika användares behov av statistik. För att ta fram nödvändig statistik behöver följande frågor besvaras. Vilka objekt och variabler bör ingå? Vilka redovisningsgrupper bör ingå? Vilka statistiska mått bör redovisas?

Förstudien visar att de relevanta objekten är fordon och störningar. De variabler som är nödvändiga är planerade, framförda, anordnade och inställda fordon, tillsammans med information om avvikelser från tidtabell när ett fordon har framförts. Här finns skillnader mellan passagerartåg och godståg, då det är relativt vanligt att den senare gruppen har avgångs- eller ankomsttider innan utsatt tid enligt tidtabell, något som det också finns ett behov av att redovisa med statistik.

Abstract [en]

At present, the official statistics on rail traffic in Sweden only comprise passenger trains. The reliability of freight trains should also be included in the statistics. This leads to questions on which information should be included and how it should be described. This pre-study is a knowledge base of the necessary development of the official statistics in Sweden, and is centered on the users’ current and potential needs of statistics on freight train reliability.

In this context, reliability is the ability of a transport system to follow the timetable, upon which users have organized their activities. A traffic disturbance, such as delays or cancelled trains, creates unreliability in the transport system, which should be characterized in more ways than the frequency of the disturbances in order to meet different users’ needs of statistics. To produce the necessary statistics, one must answer the following questions. Which units and variables should be included? Which domains should be included? Which statistical measures should be presented?

This study shows that the relevant units are vehicles and traffic disturbances. The necessary variables are scheduled, arrived and cancelled vehicles, as well as vehicles that are adjustments/late changes of the timetable. Variables on timetable deviations for vehicles running on the network are also necessary. In this aspect, there are differences between passenger and freight trains as the latter group relatively often depart or arrive ahead of schedule, which is also important to capture with statistics.

Place, publisher, year, edition, pages
Linköping: Statens väg- och transportforskningsinstitut, 2017. p. 39
Series
VTI notat ; 17-2017
Keywords
Freight train, Freight transport, Delay, Statistics, Data acquisition, Method, Definition, Rail bound transport
National Category
Transport Systems and Logistics
Research subject
J00 Railway: General works, surveys, comprehensive works, J05 Railway: Freight transport
Identifiers
urn:nbn:se:vti:diva-11796 (URN)
Available from: 2017-04-28 Created: 2017-04-28 Last updated: 2019-05-14Bibliographically approved
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