kth.sePublications
Change search
Link to record
Permanent link

Direct link
Jenelius, Erik, DocentORCID iD iconorcid.org/0000-0002-4106-3126
Alternative names
Publications (10 of 234) Show all publications
Leffler, D., Burghout, W., Cats, O. & Jenelius, E. (2024). An adaptive route choice model for integrated fixed and flexible transit systems. Transportmetrica B: Transport Dynamics, 12(1)
Open this publication in new window or tab >>An adaptive route choice model for integrated fixed and flexible transit systems
2024 (English)In: Transportmetrica B: Transport Dynamics, ISSN 2168-0566, Vol. 12, no 1Article in journal (Refereed) Published
Abstract [en]

Over the past decade, there has been a surge of interest in the application of agent-based simulation models to evaluate flexible transit solutions characterized by different degrees of short-term flexibility in routing and scheduling. A central modelling decision in the development is how one chooses to represent the mode- and route-choices of travellers. The real-time adaptive behaviour of travellers is important to model in the presence of a flexible transit service, where the routing and scheduling of vehicles is highly dependent on supply-demand dynamics at a near real-time temporal resolution. We propose a utility-based transit route-choice model with representation of within-day adaptive travel behaviour and between-day learning where station-based fixed-transit, flexible-transit, and active-mode alternatives may be dynamically combined in a single path. To enable experimentation, this route-choice model is implemented within an agent-based dynamic public transit simulation framework. We first explore model properties in a choice between fixed- and flexible-transit modes for a toy network. The adaptive route choice framework is then applied to a case study based on a real-life branched transit service in Stockholm, Sweden. This case study illustrates level-of-service trade-offs, in terms of waiting times and in-vehicle times, between passenger groups and analyzes traveller mode choices within a mixed fixed- and flexible transit system. Results show that the proposed framework is capable of capturing dynamic route choices in mixed flexible and fixed transit systems and that the day-to-day learning model leads to stable fixed-flexible mode choices.

Place, publisher, year, edition, pages
Informa UK Limited, 2024
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-343550 (URN)10.1080/21680566.2024.2303047 (DOI)001148712800001 ()2-s2.0-85183167170 (Scopus ID)
Funder
EU, European Research Council, 804469Swedish Transport Administration, RV 2019/27044
Note

QC 20240219

Available from: 2024-02-16 Created: 2024-02-16 Last updated: 2024-02-19Bibliographically approved
Skoufas, A., Cebecauer, M., Burghout, W., Jenelius, E. & Cats, O. (2024). Assessing school students' contributions to public transport crowding. In: : . Paper presented at Transit Data 2024: 9th International Workshop and Symposium on the Use of Passive Data from Public Transport Systems, London, UK, 1-4 July 2024.
Open this publication in new window or tab >>Assessing school students' contributions to public transport crowding
Show others...
2024 (English)Conference paper, Oral presentation with published abstract (Refereed)
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-350637 (URN)
Conference
Transit Data 2024: 9th International Workshop and Symposium on the Use of Passive Data from Public Transport Systems, London, UK, 1-4 July 2024
Funder
Region Stockholm, RS 2022-0210
Note

QCR 20240717

Available from: 2024-07-16 Created: 2024-07-16 Last updated: 2024-07-17Bibliographically approved
Berg Wincent, B., Jenelius, E. & Burghout, W. (2024). Attitudes and Perceptions of Shared E-Scooter Parking in Stockholm, Gothenburg and Malmö. In: Proceedings 12th Symposium of the European Association for Research in Transportation (hEART 2024): . Paper presented at 12th Symposium of the European Association for Research in Transportation (hEART 2024), 18-20 June 2024, Aalto University, Espoo, Finland.
Open this publication in new window or tab >>Attitudes and Perceptions of Shared E-Scooter Parking in Stockholm, Gothenburg and Malmö
2024 (English)In: Proceedings 12th Symposium of the European Association for Research in Transportation (hEART 2024), 2024Conference paper, Oral presentation with published abstract (Refereed)
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-350465 (URN)
Conference
12th Symposium of the European Association for Research in Transportation (hEART 2024), 18-20 June 2024, Aalto University, Espoo, Finland
Funder
Swedish Transport Administration, TRV 2023/57724
Note

QC 20240715

Available from: 2024-07-14 Created: 2024-07-14 Last updated: 2024-07-15Bibliographically approved
Andreolli, R., Nybacka, M., Jenelius, E., O'Reilly, C. J. & Falkgrim, E. (2024). Energy Consumption Evaluation of Emerging and Current Vehicle Fleets in Urban Logistics. In: 10th Transportation Research Arena, Dublin, Ireland, 15-18 April 2024: . Paper presented at 10th Transportation Research Arena, Dublin, Ireland, 15-18 April 2024.
Open this publication in new window or tab >>Energy Consumption Evaluation of Emerging and Current Vehicle Fleets in Urban Logistics
Show others...
2024 (English)In: 10th Transportation Research Arena, Dublin, Ireland, 15-18 April 2024, 2024Conference paper, Published paper (Other academic)
Abstract [en]

Driverless multipurpose vehicles (DMVs) are an emerging vehicle concept for urban heavy-duty transport. However, little is known about their effect on urban road transport systems. Thus, the aim of this study is to analyse the total fleet energy consumption of DMVs for specific transport operations in urban logistics compared to heavy- duty battery and combustion vehicles. A novel electric vehicle routing problem was used to simulate in total 96 case-studies of operations with varying network and vehicle fleet properties. We found that the combustion vehicle fleets consumed significantly more energy for the same operation compared to the electric vehicle fleets. Although the DMV fleet and battery electric vehicle fleet showcased similar energy consumption for most case-studies, there were several operations where the DMV fleet consumed less energy and required a smaller fleet size. This study highlights the potential benefits of DMV fleets in urban logistics operations in terms of reducing total fleet energy consumption and fleet size.

National Category
Transport Systems and Logistics Vehicle Engineering
Identifiers
urn:nbn:se:kth:diva-344063 (URN)
Conference
10th Transportation Research Arena, Dublin, Ireland, 15-18 April 2024
Funder
Vinnova, 2022-00636
Note

QC 20240301

Available from: 2024-02-29 Created: 2024-02-29 Last updated: 2024-05-21Bibliographically approved
Lin, J.-J. Y., Jenelius, E., Cebecauer, M., Rubensson, I. & Chen, C. (2024). Equity of public transport crowding exposure: Stockholm before, during and after the pandemic. In: : . Paper presented at Transit Data 2024: 9th International Workshop and Symposium on the Use of Passive Data from Public Transport Systems, London, UK, 1-4 July 2024.
Open this publication in new window or tab >>Equity of public transport crowding exposure: Stockholm before, during and after the pandemic
Show others...
2024 (English)Conference paper, Oral presentation with published abstract (Refereed)
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-350636 (URN)
Conference
Transit Data 2024: 9th International Workshop and Symposium on the Use of Passive Data from Public Transport Systems, London, UK, 1-4 July 2024
Note

QCR 20240717

Available from: 2024-07-16 Created: 2024-07-16 Last updated: 2024-07-17Bibliographically approved
Skoufas, A., Jenelius, E., Cebecauer, M., Cats, O. & Burghout, W. (2024). Ex-post assessment of public transport on-board crowding induced by new urban development. In: : . Paper presented at Transportation Research Board (TRB) 103rd Annual Meeting, Washington DC, USA, 7-11 January 2024.
Open this publication in new window or tab >>Ex-post assessment of public transport on-board crowding induced by new urban development
Show others...
2024 (English)Conference paper, Poster (with or without abstract) (Refereed)
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-344062 (URN)
Conference
Transportation Research Board (TRB) 103rd Annual Meeting, Washington DC, USA, 7-11 January 2024
Funder
Region Stockholm, RS 2022-0210
Note

QC 20240311

Available from: 2024-02-29 Created: 2024-02-29 Last updated: 2024-03-12Bibliographically approved
Burghout, W., Cebecauer, M., Danielsson, A., Gundlegård, D., Jenelius, E. & Rydergren, C. (2024). Multimodal Traffic Management: Project Report. Trafikverket
Open this publication in new window or tab >>Multimodal Traffic Management: Project Report
Show others...
2024 (English)Report (Other academic)
Abstract [sv]

Nya system för att kombinera transportsätt, till exempel Mobility as a Service (MaaS), ger nya möjligheter för trafikanter att växla mellan olika färdmedel. Samtidigt ger stora mängder data från såväl kollektivtrafiknätet som vägtrafiknätet samt multimodala data från mobilnäten i kombination med nya metoder för att uppskatta resmönster uppdelat på färdmedel möjligheter till en helt ny förståelse av multimodala resmönster i en stad. Att förstå hur multimodala resmönster utvecklas över tid ger nya möjligheter att utveckla effektiva verktyg för multimodal trafikledning.

Det övergripande målet med projektet är att möjliggöra förbättrad tillgänglighet i transportsystemen genom effektivare trafikledning. Mer specifikt syftar projektet till att utveckla nya metoder för att uppskatta multimodal efterfrågan samt färdmedelsval och ruttval för multimodal trafikledning. Vidare har potentiella effekter av multimodal trafikledning analyserats.

Projektet omfattar en litteraturstudie för analys av möjligheter och utmaningar med multimodal trafikledning. En explorativ analys baserad på oövervakat lärande har utförts för att identifiera typiska nätverksövergripande mobilitetsmönster. Val av rutt och färdmedel har predikterats med hjälp av statistiska modeller. Ett multimodalt dataset för fem veckor i Stockholm med storskalig mobilitetsdata för vägnätet och biljettdata för kollektivtrafiknätet har sammanställs för den explorativa analysen samt utvärderingen av rutt- och transportsättsmodellerna i samband med trafikledning.

Baserat på litteraturstudien kan vi dra slutsatsen att koordinerad ledning av väg och kollektivtrafik har potential att minska trängseln och säkerställa effektiv förflyttning av resenärer i ett storstadsområde. Det finns flera motiv för multimodal trafikledning, där de viktigaste är potentiellt ökad efterfrågan för kollektivtrafik, förbättrad robusthet för transportsystemet och bättre prioritering av trafikledningsåtgärder. De största utmaningarna är samarbete mellan intressenter, informationsdelning och datafusion.

Resultaten av den explorativa analysen baserad på oövervakad inlärning indikerar att klustring för att ta fram typdagar kan vara användbart vid scenarioutvärdering, men också fungera som input till korttidsprediktion, vilket ger en enkel och robust predikteringsmetod för länkflöden med ett MAPE-prediktionsfel på 10-15 %.

Ruttvalsanalysen visar att en modell baserad på en ruttuppsättning med genererade rutter är mer responsiv för restidsförändringar än en modell baserad på endast observerade rutter, vilket är användbart för att förutspå effekten av olika trafikledningsåtgärder. En ruttvalsmodell med enbart restid är en vanlig förenkling att använda för att prediktera ruttval, men resultatet i denna studie visar att inkludering av fler attribut avsevärt förbättrar modellernas prestanda.

Analysen av nätverksövergripande multimodala data för 5 veckor i Stockholm indikerar att det är möjligt att uppskatta hur transportsättsandelen mellan kollektivtrafik och andra transportslag varierar i tid och rum. En bättre förståelse för spatiotemporal variation av färdmedelsvalet är en viktig input till förbättrat beslutsstöd i multimodal trafikledning.

Abstract [en]

New systems for combining modes of transport, for example Mobility as a Service (MaaS), provide new opportunities for road users to switch between different means of transport. At the same time, large amounts of data from both the public transport network and the road traffic network as well as multimodal data from mobile networks in combination with new methods for estimating travel patterns divided by means of transport provide opportunities for a completely new understanding of multimodal travel patterns in a city. Understanding how multimodal travel patterns develop over time provides new opportunities to develop effective tools for multimodal traffic management.

The overall goal of the project is to enable improved accessibility in the transport systems through more efficient traffic management. More specifically, the project aims to develop new methods for estimating multimodal demand as well as mode of transport and route selection for multimodal traffic management. Furthermore, potential effects of multimodal traffic management should be analysed.

The project includes a literature survey for analysis of potential and challenges of multimodal traffic management. An explorative analysis based on unsupervised learning is performed for identification of typical network-wide mobility patterns. Route and mode choice is predicted using statistical models. A five-week multimodal dataset for Stockholm including large-scale mobility data for the road network and smartcard data for the public transport network is compiled for the explorative analysis as well as evaluation of the route and mode choice models in the context of traffic management.

Based on the literature survey, we can conclude that simultaneous management of road and public transport has the potential to reduce congestion and ensure efficient movement of travelers in an urban area. There are several motives for integrated management of multiple modes, where the most important are potential demand shifts to public transport, improved robustness for the transport system, and better prioritization of traffic management actions. The main challenges are collaboration between stakeholders, information sharing, and data fusion.

The results of the explorative analysis based on unsupervised learning indicate that day clustering can be useful in scenario evaluation, but also serve as input to short-term prediction providing a simple and robust prediction method with a MAPE prediction error of 10-15%.

The route choice analysis showed that a model based on a route set with generated routes is more responsive to travel time changes than a model based on only observed routes, which is useful for predicting the effect of traffic management actions. A route choice model with only travel time is a common simplification to use for prediction route choices. However, the result in this study shows that including more attributes significantly improves the performance of the models.

The analysis of network-wide multimodal data for 5 weeks in Stockholm indicates that it is possible to estimate how mode share between public transport and other modes of transport varies in space and time. A better understanding of spatiotemporal variation of mode share is an important input to improved decision support in multimodal traffic management.

Place, publisher, year, edition, pages
Trafikverket, 2024. p. 34
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-345790 (URN)
Funder
Swedish Transport Administration, TRV 2020/118663
Note

QC 20240425

Available from: 2024-04-19 Created: 2024-04-19 Last updated: 2024-04-25Bibliographically approved
Hatzenbühler, J., Jenelius, E., Gidofalvi, G. & Cats, O. (2024). Multi-purpose pickup and delivery problem for combined passenger and freight transport. Transportation
Open this publication in new window or tab >>Multi-purpose pickup and delivery problem for combined passenger and freight transport
2024 (English)In: Transportation, ISSN 0049-4488, E-ISSN 1572-9435Article in journal (Refereed) Published
Abstract [en]

Recent advances in the development of modular transport vehicles allow deploying multi-purpose vehicles, which enable alternate transport of different demand types. In this study, we propose a novel variant of the pickup and delivery problem, the multi-purpose pickup and delivery problem, where multi-purpose vehicles are assigned to serve a multi-commodity flow. We solve a series of use case scenarios using an exact optimization algorithm and an adaptive large neighborhood search algorithm. We compare the performance of a multi-purpose vehicle fleet to a mixed fleet of single-purpose vehicles. Depending on cost parameters, our findings suggest that in certain scenarios, the total costs can be reduced by an average of 13% when multi-purpose vehicles are deployed, while at the same time reducing total vehicle trip duration and total distance traveled by on average 33% and 16%, respectively. The required fleet size can be reduced by 35% on average when operating multi-purpose vehicles. The results can be used by practitioners and policymakers to determine if the combined service of passenger and freight demand flows with multi-purpose vehicles in a given system will yield benefits compared to existing transport operations.

Place, publisher, year, edition, pages
Springer Nature, 2024
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-347032 (URN)10.1007/s11116-024-10482-9 (DOI)
Funder
Vinnova, 2020-00565
Note

QC 20240531

Available from: 2024-05-28 Created: 2024-05-28 Last updated: 2024-05-31Bibliographically approved
Zhang, Q., Ma, Z., Zhang, P., Ling, Y. & Jenelius, E. (2024). Real-time bus arrival delays analysis using seemingly unrelated regression model. Transportation
Open this publication in new window or tab >>Real-time bus arrival delays analysis using seemingly unrelated regression model
Show others...
2024 (English)In: Transportation, ISSN 0049-4488, E-ISSN 1572-9435Article in journal (Refereed) Epub ahead of print
Abstract [en]

To effectively manage and control public transport operations, understanding the various factors that impact bus arrival delays is crucial. However, limited research has focused on a comprehensive analysis of bus delay factors, often relying on single-step delay prediction models that are unable to account for the heterogeneous impacts of spatiotemporal factors along the bus route. To analyze the heterogeneous impact of bus arrival delay factors, the paper proposes a set of regression equations conditional on the bus location. A seemingly unrelated regression equation (SURE) model is developed to estimate the regression coefficients, accounting for potential correlations between regression residuals caused by shared unobserved factors among equations. The model is validated using bus operations data from Stockholm, Sweden. The results highlight the importance of developing stop-specific bus arrival delay models to understand the heterogeneous impact of explanatory variables. The significant factors impacting bus arrival delays are primarily associated with bus operations, such as delays at consecutive upstream stops, dwell time, scheduled travel time, recurrent congestion, and current traffic conditions. Factors like the calendar and weather have significant but marginal impacts on arrival delays. The study suggests that different bus operating management strategies, such as schedule adjustments, route optimization, and real-time monitoring and control, should be tailored to the characteristics of stop sections since the impacts of these factors vary depending on the stop location.

Place, publisher, year, edition, pages
Springer Nature, 2024
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-350233 (URN)10.1007/s11116-024-10507-3 (DOI)001255194300001 ()2-s2.0-85197190064 (Scopus ID)
Note

QC 20240710

Available from: 2024-07-09 Created: 2024-07-09 Last updated: 2024-07-10Bibliographically approved
Berg Wincent, B., Jenelius, E. & Burghout, W. (2024). Shared e-scooters: A last-minute mode?. Travel Behaviour & Society, 37, Article ID 100864.
Open this publication in new window or tab >>Shared e-scooters: A last-minute mode?
2024 (English)In: Travel Behaviour & Society, ISSN 2214-367X, E-ISSN 2214-3688, Vol. 37, article id 100864Article in journal (Refereed) Accepted
Abstract [en]

In this paper we assess whether shared e-scooters are being used in hurried situations to avoid arriving late, making trips we define as last-minute trips. We identify trip characteristics for last-minute trips using data from shared e-scooters in Stockholm. Trip arrival time patterns, distances, durations, and speeds are analyzed in relation to desired arrival times. We observe a peak in the number of trips ending before the full hour and a smaller peak of trips ending before the half hour of weekday mornings. These trips have lower average trip durations and higher average speeds, indicating a larger share of last-minute trips. Arrival patterns shift when the assumed preferred arrival time changes, and when the risk associated with arriving late increases. Furthermore, there is an increased share of trips that started close to public transportation around the full hour, indicating that a portion of last-minute trips may also be last-mile trips. Our results show that while last-minute trips are infrequent per user, they do make up a relatively large share of weekday morning trips. These results highlight an important market segment for shared e-scooter services and may also explain why some research reports e-scooter usage replacing walking.

Keywords
E-scooter, Electric scooter, Micromobility, Preferred arrival time
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-350811 (URN)10.1016/j.tbs.2024.100864 (DOI)
Funder
Swedish Transport Administration, TRV 2021/22609
Available from: 2024-07-20 Created: 2024-07-20 Last updated: 2024-07-20
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-4106-3126

Search in DiVA

Show all publications