Publikationer av Erik Jenelius
Refereegranskade
Artiklar
[1]
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).
[2]
Berg Wincent, B., Jenelius, E. & Burghout, W. (2023). Access distance to e-scooters : Analysis of app use and trip data in Stockholm. Journal of Cycling and Micromobility Research, 100004-100004.
[3]
Peftitsi, S., Jenelius, E. & Cats, O. (2023). Evaluating skip-stop policy in urban rail transit systems based on passenger cost. Journal of Public Transportation, 25.
[4]
Sun, Y., Jenelius, E., Burghout, W. & Xie, B. (2023). Evaluation of Motorway Lane Control Strategies for Mixed Flow of Autonomous and Human-Driven Vehicles. Journal of Transportation Engineering, Part A: Systems, 149(11), 1-12.
[5]
Kolkowski, L., Cats, O., Dixit, M., Verma, T., Jenelius, E., Cebecauer, M. & Rubensson, I. J. (2023). Measuring activity-based social segregation using public transport smart card data. Journal of Transport Geography, 110.
[6]
Zhang, Q., Ma, Z., Zhang, P. & Jenelius, E. (2023). Mobility knowledge graph : review and its application in public transport. Transportation.
[7]
Hatzenbühler, J., Jenelius, E., Gidofalvi, G. & Cats, O. (2023). Modular vehicle routing for combined passenger and freight transport. Transportation Research Part A : Policy and Practice, 173, 103688-103688.
[8]
Cebecauer, M., Jenelius, E., Gundlegård, D. & Burghout, W. (2023). Revealing representative day-types in transport networks using traffic data clustering. Journal of Intelligent Transportation Systems / Taylor & Francis, 1-24.
[9]
Badia, H. & Jenelius, E. (2023). Shared e-scooter micromobility : review of use patterns, perceptions and environmental impacts. Transport reviews, 43(5), 811-837.
[10]
Lin, J. Y., Jenelius, E., Cebecauer, M., Jarlebring Rubensson, I. & Chen, C. (2023). The equity of public transport crowding exposure. Journal of Transport Geography, 110.
[11]
Zhang, Q., Ma, Z., Zhang, P., Jenelius, E., Ma, X. & Wen, Y. (2023). User-station attention inference using smart card data : a knowledge graph assisted matrix decomposition model. Applied intelligence (Boston), 53(19), 21944-21960.
[12]
Poinsignon, F., Chen, L., Jiang, S., Gao, K., Badia, H. & Jenelius, E. (2022). Autonomous vehicle fleets for public transport : scenarios and comparisons. Green Energy and Intelligent Transportation, 1(3).
[13]
Zhang, W., Jenelius, E. & Badia, H. (2022). Efficiency of Connected Semi-Autonomous Platooning Bus Services in High-Demand Transit Corridors. IEEE OPEN JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS, 3, 435-448.
[14]
Almlöf, E., Zhao, X., Pernestål Brenden, A., Jenelius, E. & Nybacka, M. (2022). Frameworks for assessing societal impacts of automated driving technology. Transportation planning and technology (Print), 45(7), 545-572.
[15]
Peftitsi, S., Jenelius, E. & Cats, O. (2022). Modeling the effect of real-time crowding information (RTCI) on passenger distribution in trains. Transportation Research Part A : Policy and Practice, 166, 354-368.
[16]
Hatzenbühler, J., Cats, O. & Jenelius, E. (2022). Network design for line-based autonomous bus services. Transportation, 49(2), 467-502.
[17]
Chen, H., Hatzenbühler, J. & Jenelius, E. (2022). Pick-Up and Delivery Problem for Sequentially Consolidated Urban Transportation with Mixed and Multi-Pupropse Vehicle Fleet. Journal of Advanced Transportation, 2022.
[18]
Jenelius, E. (2022). Traveller Recurrence and Inter- versus Intratraveller Speed Variability : Analysis with Bluetooth Data. Journal of Advanced Transportation, 2022.
[19]
Almlöf, E., Nybacka, M., Pernestål Brenden, A. & Jenelius, E. (2022). Will leisure trips be more affected than work trips by autonomous technology? : Modelling self-driving public transport and cars in Stockholm, Sweden. Transportation Research Part A : Policy and Practice, 165, 1-19.
[20]
Laskaris, G., Cats, O., Jenelius, E., Rinaldi, M. & Viti, F. (2021). A holding control strategy for diverging bus lines. Transportation Research Part C : Emerging Technologies, 126.
[21]
Badia, H. & Jenelius, E. (2021). Design and operation of feeder systems in the era of automated and electric buses. Transportation Research Part A : Policy and Practice, 152, 146-172.
[22]
Peftitsi, S., Jenelius, E. & Cats, O. (2021). Evaluating crowding in individual train cars using a dynamic transit assignment model. Transportmetrica B : Transport Dynamics, 9(1), 693-711.
[23]
Cebecauer, M., Burghout, W., Jenelius, E., Tatiana, B. & Leffler, D. (2021). Integrating Demand Responsive Services into Public Transport Disruption Management. IEEE Open Journal of Intelligent Transportation Systems, 2, 24-36.
[24]
Kholodov, Y., Jenelius, E., Cats, O., van Oort, N., Mouter, N., Cebecauer, M. & Vermeulen, A. (2021). Public transport fare elasticities from smartcard data: Evidence from a natural experiment. Transport Policy, 105, 35-43.
[25]
Leffler, D., Burghout, W., Jenelius, E. & Cats, O. (2021). Simulation of fixed versus on-demand station-based feeder operations. Transportation Research Part C : Emerging Technologies, 132.
[26]
de Almeida, C. M. L., Silveira, S., Jenelius, E. & Fuso Nerini, F. (2021). Using the Sustainable Development Goals to Evaluate Possible Transport Policies for the City of Curitiba. Sustainability, 13(21).
[27]
Almlöf, E., Rubensson, I., Cebecauer, M. & Jenelius, E. (2021). Who continued travelling by public transport during COVID-19? : Socioeconomic factors explaining travel behaviour in Stockholm 2020 based on smart card data. European Transport Research Review, 13(1).
[28]
Saadallah, A., Moeira-Matias, L., Sousa, R., Khiari, J., Jenelius, E. & Gama, J. (2020). BRIGHT - Drift-Aware Demand Predictions for Taxi Networks. IEEE Transactions on Knowledge and Data Engineering, 32(2), 234-245.
[29]
Jenelius, E. (2020). Data-driven metro train crowding prediction based on real-time load data. IEEE transactions on intelligent transportation systems (Print), 21(6), 2254-2265.
[30]
Peftitsi, S., Jenelius, E. & Cats, O. (2020). Determinants of passengers' metro car choice revealed through automated data sources : a Stockholm case study. Transportmetrica A : Transport Science, 16(3), 529-549.
[31]
Jenelius, E. & Cebecauer, M. (2020). Impacts of COVID-19 on public transport ridership in Sweden: Analysis of ticket validations, sales and passenger counts. Transportation Research Interdisciplinary Perspectives, 8.
[32]
Jenelius, E. (2020). Personalized predictive public transport crowding information with automated data sources. Transportation Research Part C : Emerging Technologies, 117.
[33]
Hatzenbühler, J., Cats, O. & Jenelius, E. (2020). Transitioning towards the deployment of line-based autonomous buses : Consequences for service frequency and vehicle capacity. Transportation Research Part A : Policy and Practice, 138, 491-507.
[34]
Ding-Mastera, J., Gao, S., Jenelius, E., Rahmani, M. & Ben-Akiva, M. (2019). A latent-class adaptive routing choice model in stochastic time-dependent networks. Transportation Research Part B : Methodological, 124, 1-17.
[35]
Tympakianaki, A., Koutsopoulos, H. N. & Jenelius, E. (2019). Anatomy of tunnel congestion : Causes and implications for tunnel traffic management. Tunnelling and Underground Space Technology, 83, 498-508.
[36]
Zhang, W., Jenelius, E. & Badia, H. (2019). Efficiency of semi-autonomous and fully autonomous bus services in trunk-and-branches networks. Journal of Advanced Transportation.
[37]
Laskaris, G., Cats, O., Jenelius, E., Rinaldi, M. & Viti, F. (2019). Multiline holding based control for lines merging to a shared transit corridor. Transportmetrica B : Transport Dynamics, 7(1), 1062-1095.
[38]
Cats, O. & Jenelius, E. (2018). Beyond a complete failure: The impact of partial capacity degradation on public transport network vulnerability. Transportmetrica B : Transport Dynamics, 6(2), 77-96.
[39]
Tympakianaki, A., Koutsopoulos, H. N., Jenelius, E. & Cebecauer, M. (2018). Impact analysis of transport network disruptions using multimodal data : A case study for tunnel closures in Stockholm. Case Studies on Transport Policy, 6(2), 179-189.
[40]
Cebecauer, M., Jenelius, E. & Burghout, W. (2018). Integrated framework for real-time urban network travel time prediction on sparse probe data. IET Intelligent Transport Systems, 12(1), 66-74.
[41]
Jenelius, E. (2018). Public transport experienced service reliability : Integrating travel time and travel conditions. Transportation Research Part A : Policy and Practice, 117, 275-291.
[42]
Fu, J. & Jenelius, E. (2018). Transport efficiency of off-peak urban goods deliveries : A Stockholm pilot study. Case Studies on Transport Policy, 6(1), 156-166.
[43]
Jenelius, E. & Koutsopoulos, H. (2018). Urban network travel time prediction based on a probabilistic principal component analysis model of probe data. IEEE transactions on intelligent transportation systems (Print), 19(2), 436-445.
[44]
Zhang, W., Jenelius, E. & Ma, X. (2017). Freight transport platoon coordination and departure time scheduling under travel time uncertainty. Transportation Research Part E : Logistics and Transportation Review, 98, 1-23.
[45]
Fu, J., Jenelius, E. & Koutsopoulos, H. N. (2017). Identification of workstations in earthwork operations from vehicle GPS data. Automation in Construction, 83, 237-246.
[46]
Zhang, Y., Jenelius, E. & Kottenhoff, K. (2017). Impact of real-time crowding information : A Stockholm metro case study. Public Transport, 9(3), 483-499.
[47]
Rahmani, M., Koutsopoulos, H. N. & Jenelius, E. (2017). Travel time estimation from sparse floating car data with consistent path inference : A fixed point approach. Transportation Research Part C : Emerging Technologies, 85, 628-643.
[48]
Rahmani, M., Jenelius, E. & Koutsopoulos, H. (2015). Non-parametric estimation of route travel time distributions from low-frequency floating car data. Transportation Research Part C : Emerging Technologies, 58B, 343-362.
[49]
Cats, O. & Jenelius, E. (2015). Planning for the Unexpected: The Value of Reserve Capacity for Public Transport Network Robustness. Transportation Research Part A : Policy and Practice, 81, 47-61.
[50]
Jenelius, E. & Koutsopoulos, H. N. (2015). Probe vehicle data sampled by time or space : Consistent travel time allocation and estimation. Transportation Research Part B : Methodological, 71, 120-137.
[51]
Jenelius, E. & Mattsson, L.-G. (2015). Road network vulnerability analysis : Conceptualization, implementation and application. Computers, Environment and Urban Systems, 49, 136-147.
[52]
Jenelius, E. & Cats, O. (2015). The value of new public transport links for network robustness and redundancy. Transportmetrica A : Transport Science, 11(9), 819-835.
[53]
Mattsson, L.-G. & Jenelius, E. (2015). Vulnerability and resilience of transport systems : A discussion of recent research. Transportation Research Part A : Policy and Practice, 81, 16-34.
[54]
Tympakianaki, A., Koutsopoulos, H. N. & Jenelius, E. (2015). c-SPSA : Cluster-wise simultaneous perturbation stochastic approximation algorithm and its application to dynamic origin-destination matrix estimation. Transportation Research Part C : Emerging Technologies, 55, 231-245.
[55]
Cats, O. & Jenelius, E. (2014). Dynamic Vulnerability Analysis of Public Transport Networks : Mitigation Effects of Real-Time Information. Networks and Spatial Economics, 14(3-4), 435-463.
[56]
Ding, J., Gao, S., Jenelius, E., Rahmani, M., Huang, H., Ma, L. ... Ben-Akiva, M. (2014). Routing Policy Choice Set Generation in Stochastic Time-Dependent Networks Case Studies for Stockholm, Sweden, and Singapore. Transportation Research Record(2466), 76-86.
[57]
Jenelius, E. & Koutsopoulos, H. N. (2013). Travel time estimation for urban road networks using low frequency probe vehicle data. Transportation Research Part B : Methodological, 53, 64-81.
[58]
Jenelius, E. & Mattsson, L.-G. (2012). Road network vulnerability analysis of area-covering disruptions : A grid-based approach with case study. Transportation Research Part A : Policy and Practice, 46(5), 746-760.
[59]
Jenelius, E. (2012). The value of travel time variability with trip chains, flexible scheduling and correlated travel times. Transportation Research Part B : Methodological, 46(6), 762-780.
[60]
Jenelius, E., Mattsson, L.-G. & Levinson, D. (2011). Traveler delay costs and value of time with trip chains, flexible activity scheduling and information. Transportation Research Part B : Methodological, 45(5), 789-807.
[61]
Jenelius, E., Westin, J. & Holmgren, Å. J. (2010). Critical infrastructure protection under imperfect attacker perception. International Journal of Critical Infrastructure Protection, 3(1), 16-26.
[62]
Jenelius, E. (2010). User inequity implications of road network vulnerability. Journal of Transport and Land Use, 2(3/4), 57-73.
[63]
Jenelius, E. (2009). Network structure and travel patterns : explaining the geographical disparities of road network vulnerability. Journal of Transport Geography, 17(3), 234-244.
[64]
Holmgren, Å. J., Jenelius, E. & Westin, J. (2007). Evaluating Strategies for Defending Electric Power Networks against Antagonistic Attacks. IEEE Transactions on Power Systems, 22(1), 76-84.
[65]
Jenelius, E., Petersen, T. & Mattsson, L.-G. (2006). Importance and exposure in road network vulnerability analysis. Transportation Research Part A : Policy and Practice, 40(7), 537-560.
Konferensbidrag
[66]
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. Presenterad vid Transportation Research Board (TRB) 103rd Annual Meeting, Washington DC, USA, 7-11 January 2024.
[67]
Andreolli, R., Nybacka, M., O'Reilly, C. J., Jenelius, E., Falkgrim, E. (2023). A review on real vehicle usage modelling of driverless multipurpose vehicles in vehicle routing problems. I Proceedings of the International Conference on Engineering Design, ICED 2023. (s. 385-394). Cambridge University Press (CUP).
[68]
Ngo, H. N., Kaddoum, E., Cebecauer, M., Jenelius, E., Goursolle, A. (2023). Considering Multi-Scale Data for Continuous Traffic Prediction Using Adaptive Multi-Agent System. I Proceedings 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC). (s. 1835-1842). Institute of Electrical and Electronics Engineers (IEEE).
[69]
Zhang, Q., Ma, Z., Jenelius, E. (2023). Data-Driven Causality Discovery for Bus Arrival Delays in Urban Public Networks. Presenterad vid The 12th Annual Swedish Transport Research Conference (STRC 2023), 16 - 17 October 2023, Stockholm, Sweden.
[70]
Andreolli, R., Nybacka, M., O'Reilly, C. J., Jenelius, E., Falkgrim, E. (2023). Driverless multipurpose vehicles in urban logistics : A comparative study between heavy-duty road vehicles in urban logistics. Presenterad vid 10th Transportation Research Arena, Dublin, Ireland, 15-18 April 2023.
[71]
Skoufas, A., Cebecauer, M., Burghout, W., Jenelius, E. (2023). Generating and Evaluating Route Choice Sets for Large Multimodal Public Transport Networks : A Case Study for Stockholm Region. I 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC). (s. 2926-2931). Institute of Electrical and Electronics Engineers (IEEE).
[72]
Chen, H., Kronqvist, J., Burghout, W., Jenelius, E., Ma, Z. (2023). Mixed Integer Formulation with Linear Constraints forIntegrated Service Operations and Traveler Choices inMultimodal Mobility Systems. Presenterad vid hEART 2023: 11th Symposium of the European Association for Research in Transportation, September 6-8, 2023.
[73]
Zhang, Q., Ma, Z., Zhang, P., Jenelius, E. (2023). Mobility Knowledge Graph : Review and its application in public transport. Presenterad vid Transportation Research Board (TRB) 102nd Annual Meeting, Washington DC, United States, January 8-12, 2023.
[74]
Harahap, F., Mohammed, H., Henrysson, M., Franco, J., Jenelius, E. (2023). Policy Tools for Electric Vehicle Adoption in Curitiba City. I Proceedings of the International Conference “Sustainable Built Environment and Urban Transition”..
[75]
Berg Wincent, B., Jenelius, E., Burghout, W. (2023). Shared E-Scooters: The Last-Minute Mode. Presenterad vid 25th Euro Working Group Transportation (EWGT) congress, Santander, Spain, 6-8 September 2023.
[76]
Cebecauer, M., Gundlegård, D., Jenelius, E., Burghout, W. (2023). Spatio-Temporal Public Transport Mode Share Estimation and Analysis Using Mobile Network and Smart Card Data. I 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC). (s. 2543-2548).
[77]
Kolkowski, L., Dixit, M., Cats, O., Verma, T., Jenelius, E. (2022). Measuring activity-based social segregation using public transport smart card data. Presenterad vid 10th Symposium of the European Association for Research in Transportation (hEART), Leuven, Belgium, 1-3 June 2022.
[78]
Peftitsi, S., Jenelius, E., Cats, O. (2022). Modelling the effect of real-time crowding information (RTCI) on passenger distribution in trains. Presenterad vid Transportation Research Board (TRB) 101st Annual Meeting.
[79]
Hatzenbühler, J., Jenelius, E., Gidofalvi, G., Cats, O. (2022). Multi-purpose vehicle assignment for combined passenger and freight transport. Presenterad vid Transportation Research Board (TRB) 101st Annual Meeting.
[80]
Laskaris, G., Cats, O., Jenelius, E., Rinaldi, M., Viti, F. (2021). Principles for setting single or multiline bus holding control based on network characteristics. Presenterad vid Transportation Research Board (TRB) 100th Annual Meeting.
[81]
Jenelius, E., Kholodov, Y., Cats, O., van Oort, N., Mouter, N., Cebecauer, M., Vermeulen, A. (2021). Public transport fare elasticities from smartcard data : A natural experiment in Stockholm. Presenterad vid 9th Symposium of the European Association for Research in Transportation (hEART), Lyon, France, 3-4 February 2021.
[82]
Jenelius, E. (2021). Reducing Public Transport Uncertainty through Personalized Predictive Crowding Information from Automated Data Sources. Presenterad vid 8th International Symposium on Transport Network Reliability (INSTR), Online/Stockholm, Sweden, 16-18 June 2021.
[83]
Kholodov, Y., Jenelius, E., Cats, O., van Oort, N., Mouter, N., Cebecauer, M., Vermeulen, A. (2021). Transport fare elasticities from smartcard data : A natural experiment in Stockholm. Presenterad vid Transportation Research Board (TRB) 100th Annual Meeting.
[84]
Jenelius, E. (2021). Traveller recurrence and individual travel time variability : Analysis with Stockholm Bluetooth data. Presenterad vid Transportation Research Board (TRB) 100th Annual Meeting.
[85]
Almlöf, E., Rubensson, I., Cebecauer, M., Jenelius, E. (2021). Who is still travelling by public transport during COVID-19? : Socioeconomic factors explaining travel behaviour in Stockholm based on smart card data. Presenterad vid Transportation Research Board (TRB) 100th Annual Meeting.
[86]
Leffler, D., Burghout, W., Cats, O., Jenelius, E. (2020). Distribution of passenger costs in fixed versus flexible station-based feeder services. I Transportation Research Procedia. (s. 179-186). Elsevier B.V.
[87]
Peftitsi, S., Jenelius, E., Cats, O. (2020). Evaluating crowding in individual train cars using a dynamic transit assignment model. Presenterad vid Transportation Research Board (TRB) 99th Annual Meeting, January 12–16, 2020, Washington, DC, USA.
[88]
Badia, H., Jenelius, E. (2020). Feeder Transit Services in Different Development Stages of Automated Buses : Comparing Fixed Routes versus Door-to-Door Trips. I Transportation Research Procedia. (s. 521-528). Elsevier B.V.
[89]
Cebecauer, M., Jenelius, E., Babicheva, T., Leffler, D., Burghout, W. (2020). Public transport disruption management by collaboration with demand responsive services. Presenterad vid Transportation Research Board (TRB) 99th Annual Meeting, January 12–16, 2020, Washington, DC, USA.
[90]
Laskaris, G., Cats, O., Jenelius, E., Rinaldi, M., Viti, F. (2020). Real Time Holding Control for Multiline Networks. Presenterad vid Transportation Research Board (TRB) 99th Annual Meeting, January 12–16, 2020, Washington, DC, USA.
[91]
Cebecauer, M., Gundlegård, D., Jenelius, E., Burghout, W. (2019). 3D Speed Maps and Mean Observations Vectors for Short-Term Urban Traffic Prediction. I TRB Annual Meeting Online. (s. 1-20). Washington DC, US.
[92]
Saadallah, A., Moreira Matias, L., Sousa, R., Khiari, J., Jenelius, E., Gama, J. (2019). BRIGHT - Drift-Aware Demand Predictions for Taxi Networks. I 2019 IEEE 35TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2019). (s. 2145-2146). IEEE.
[93]
Jenelius, E. (2019). Data-driven bus crowding prediction based on real-time passenger counts and vehicle locations. Presenterad vid 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS2019), 5-7 June 2019, Kraków, Poland.
[94]
Peftitsi, S., Jenelius, E., Cats, O. (2019). Evaluating crowding in individual train cars. Presenterad vid 8th Symposium of the European Association for Research in Transportation (hEART), Budapest, Hungary, 4-6 September 2019.
[95]
Jenelius, E. (2018). Car-Specific Metro Train Crowding Prediction Based on Real-Time Load Data. I 2018 21ST INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC). (s. 78-83). IEEE.
[96]
Peftitsi, S., Jenelius, E., Cats, O. (2018). Determinants of passengers' metro car choice revealed through automated data sources : A Stockholm metro case study. Presenterad vid CASPT 2018, Brisbane, Australia, 23-25 July 2018.
[97]
Hatzenbühler, J., Jenelius, E., Cats, O. (2018). Determining the optimal allocation of automated buses. Presenterad vid 7th Symposium of the European Association for Research in Transportation (hEART), Athens, Greece, 5-7 September 2018.
[98]
Jenelius, E. (2018). Experienced public transport service reliability : Integrating travel time and travel conditions. Presenterad vid 7th International Symposium on Transport Network Reliability (INSTR), Sydney, Australia, 17-19 January 2018.
[99]
Laskaris, G., Cats, O., Jenelius, E., Rinaldi, M., Viti, F. (2018). Real time multiline holding control for networks with shared transit corridor. Presenterad vid 7th Symposium of the European Association for Research in Transportation (hEART), Athens, Greece, 5-7 September 2018.
[100]
Tympakianaki, A., Koutsopoulos, H. N., Jenelius, E. (2018). Robust SPSA algorithms for dynamic OD matrix estimation. I The 9th International Conference on Ambient Systems, Networks and Technologies (ANT 2018) / The 8th International Conference on Sustainable Energy Information Technology (SEIT-2018) / Affiliated WorkshopsThe 9th International Conference on Ambient Systems, Networks and Technologies (ANT 2018) / The 8th International Conference on Sustainable Energy Information Technology (SEIT-2018) / Affiliated Workshops. (s. 57-64). Elsevier.
[101]
Cebecauer, M., Jenelius, E., Burghout, W. (2018). Spatio-Temporal Partitioning of Large Urban Networks for Travel Time Prediction. I 2018 21ST INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC). (s. 1390-1395). IEEE.
[102]
Laskaris, G., Cats, O., Jenelius, E., Viti, F. (2017). Coordinating merging public transport operations using holding control strategies. Presenterad vid 6th Symposium of the European Association for Research in Transportation (hEART), Haifa, Israel, 12-14 September 2017.
[103]
Leffler, D., Cats, O., Jenelius, E., Burghout, W. (2017). Real-time short-turning in high frequency bus services based on passenger cost. I 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017 - Proceedings. (s. 861-866). Institute of Electrical and Electronics Engineers (IEEE).
[104]
Fu, J., Jenelius, E. (2017). Transport efficiency of off-peak urban goods deliveries : A Stockholm pilot study. Presenterad vid the 96th Annual Meeting of the Transportation Research Board (TRB). Transportation Research Board.
[105]
Rodriguez-Deniz, H., Jenelius, E., Villani, M. (2017). Urban Network Travel Time Prediction via Online Multi-Output Gaussian Process Regression. I 2017 IEEE 20TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC). IEEE.
[106]
Jenelius, E., Kristoffersson, I., Fransson, M. (2017). Validation of Traffic Simulation Models Based on the Macroscopic Fundamental Diagram. I 20th EURO Working Group on Transportation Meeting, EWGT 2017, 4-6 September 2017, Budapest, Hungary. (s. 561-568). Elsevier.
[107]
Laskaris, G., Cats, O., Jenelius, E., Viti, F. (2016). A real-time holding decision rule accounting for passenger travel cost. I 2016 IEEE International Conference on Intelligent Transportation Systems (ITSC). (s. 2410-2415). IEEE conference proceedings.
[108]
Fu, J., Jenelius, E., Haris, K. (2016). Driving time and path generation for heavy construction sites from GPS traces. I IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC. (s. 1141-1146). IEEE.
[109]
Jenelius, E., Koutsopoulos, H. N. (2016). Efficient and robust urban network-wide travel time prediction with PPCA. Presenterad vid TRISTAN IX: Triennial Symposium on Transportation Analysis, Oranjestad, Aruba, 12-17 June 2016.
[110]
Ranjan, A., Fosgerau, M., Jenelius, E. (2016). Emergence of macroscopic fundamental diagram. Presenterad vid 5th Symposium of the European Association for Research in Transportation (hEART), September 2016, Delft, Netherlands.
[111]
Fu, J., Jenelius, E., Koutsopoulos, H. (2016). Identification of workstations in earthwork operations from vehicle GPS data. Presenterad vid Transportation Research Board 95th Annual Meeting. Transportation Research Board.
[112]
Zhang, W., Ma, X., Jenelius, E. (2016). Planning of heavy-duty vehicle platoon formulation : basic scheduling problem considering travel time variance. Presenterad vid Transportation Research Board 95th Annual Meeting, January 10-14, 2016, Washington, USA.
[113]
Cats, O., Jenelius, E. (2015). Beyond a complete failure : The impact of partial capacity reductions on public transport network vulnerability. Presenterad vid The 6th International Symposium on Transportation Network Reliability (INSTR).
[114]
Zhang, W., Ma, X., Jenelius, E. (2015). Coordination for heavy-duty vehicle platoon formation considering travel time variance. Presenterad vid 4th Symposium of the European Association for Research in Transportation (hEART), Copenhagen, Denmark, 9-11 September 2015.
[115]
Ding, J., Gao, S., Jenelius, E., Rahmani, M., Pereira, F., Ben-Akiva, M. (2015). Latent-class routing policy choice model with revealed-preference data. Presenterad vid Transportation Research Board 94th Annual Meeting.
[116]
Rahmani, M., Jenelius, E., Koutsopoulos, H. (2014). Floating Car and Camera Data Fusion for Non-Parametric Route Travel Time Estimation. Presenterad vid 2014 IEEE 17th International Conference on Intelligent Transportation Systems (ITSC), October 8-11, 2014. Qingdao, China. (s. 1286-1291).
[117]
Rahmani, M., Jenelius, E., Koutsopoulos, H. N. (2014). Floating car and camera data fusion for non-parametric route travel time estimation. I Procedia Computer Science. (s. 390-395). Elsevier B.V.
[118]
Ding, J., Gao, S., Jenelius, E., Rahmani, M., Huang, H., Ma, L., Pereira, F., Ben-Akiva, M. (2014). Routing policy choice set generation in stochastic time-dependent networks : Case studies for Stockholm and Singapore. Presenterad vid Transportation Research Board 93rd Annual Meeting; Washington, D.C., USA, 12-16 January, 2014.
[119]
Jenelius, E., Cats, O. (2014). The Value of New Cross-Radial Links for Public Transport Network Robustness. I Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014. (s. 638-647). American Society of Civil Engineers (ASCE).
[120]
Tympakianaki, A., Koutsopoulos, H., Burghout, W., Jenelius, E. (2013). A Comparative Evaluation of Gradient-based and Stochastic Approximation Algorithms for Estimation of Dynamic Origin-Destination Matrices. Presenterad vid hEART 2013, 2nd Symposium of the European Association for Research in Transportation, September 4-6 2013, Stockholm. Stockholm, Sweden.
[121]
Jenelius, E. (2013). Data fusion of instantaneous speeds and point-to-point travel times from probe vehicle data. Presenterad vid 2nd Symposium of the European Association for Research in Transportation (hEART). Stockholm, Sweden.
[122]
Mattsson, L.-G., Jenelius, E. (2013). Network-based infrastructure vulnerability analysis : A critical review of recent Swedish studies. Presenterad vid NECTAR 2013 International Conference, São Miguel Island, Portugal, 16-18 June 2013.
[123]
Fu, J., Jenelius, E., Koutsopoulos, H. N. (2013). Optimizing fleet selection for earthmoving operations. I ISEC 2013 - 7th International Structural Engineering and Construction Conference: New Developments in Structural Engineering and Construction. (s. 1261-1266). Research Publishing Services.
[124]
Jenelius, E., Rahmani, M., Koutsopoulos, H. N. (2013). Route Travel Time Estimation Using Floating Car Data. Presenterad vid Joint conference SOAK/NOS6 (Svenska Operationsanalyskonferensen and the 6th Nordic Optimization Symposium), Gothenburg, Sweden, 24-26 October 2013.
[125]
Rahmani, M., Jenelius, E., Koutsopoulos, H. (2013). Route travel time estimation using low-frequency floating car data. I 2013 16th International IEEE Conference on Intelligent Transportation Systems - (ITSC): Intelligent Transportation Systems for All Modes. (s. 2292-2297). IEEE conference proceedings.
[126]
Cats, O., Jenelius, E. (2013). The impact of reserve capacity on public transport network resilience. Presenterad vid NECTAR 2013 International Conference DYNAMICS OF GLOBAL AND LOCAL NETWORKS; São Miguel Island, Portugal, 16-18 June, 2013.
[127]
Mattsson, L.-G., Jenelius, E. (2012). Network vulnerability analysis with special reference to transport systems. Presenterad vid Resilience Engineering Workshop - Deans Forum Workshop Series No 1. Tokyo, Japan.
[128]
Jenelius, E., Koutsopoulos, H. (2012). Time-based vs. distance-based sampling in probe vehicle data : Implications for travel time estimation. I Proceedings of 17th International Conference of Hong Kong Society for Transportation Studies. Hong Kong.
[129]
Jenelius, E., Rahmani, M., Koutsopoulos, H. (2012). Travel time estimation for urban road networks using low frequency GPS probes. Presenterad vid Transportation Research Board 2012 Annual Meeting. Washington DC, USA.
[130]
Cats, O., Jenelius, E. (2012). Vulnerability analysis of public transport networks : A dynamic approach and case study for Stockholm. Presenterad vid The 5th International Symposium on Transportation Network Reliability (INSTR2012), Hong Kong,18-19 December, 2012.
[131]
Jenelius, E. (2010). Redundancy importance : Links as rerouting alternatives during road network disruptions. I Procedia Engineering. (s. 129-137).
[132]
Jenelius, E., Mattsson, L.-G. (2010). The impact of network density, travel and location patterns on regional road network vulnerability. Presenterad vid ERSA Congress, Jönköping, Sweden, August 19-23 2010.. Jönköping, Sweden.
[133]
Jenelius, E., Mattsson, L.-G., Levinson, D. (2010). The traveler costs of unplanned transport network disruptions : An activity-based modeling approach. Presenterad vid Fourth International Symposium on Transport Network Reliability (INSTR).
[134]
Jenelius, E. (2008). Road network vulnerability under area-covering disruptions. I Young Researchers’ Seminar..
[135]
Jenelius, E., Mattsson, L.-G. (2008). The vulnerability of road networks under area-covering disruptions. I INFORMS Annual Meeting..
[136]
Jenelius, E. (2007). Geography and road network vulnerability : Regional equity vs. economic efficiency. Presenterad vid 9th Nectar Conference, Porto, Portugal, 9-12 May, 2007.
[137]
Jenelius, E. (2007). Incorporating dynamics and information in a consequence model for road network vulnerability analysis. Presenterad vid Third International Symposium on Transportation Network Reliability (INSTR), The Hague, The Netherlands, 19-20 July 2007.
[138]
Jenelius, E., Mattsson, L.-G. (2006). Developing a methodology for road network vulnerability analysis. Presenterad vid Nectar Cluster 1 Seminar in Molde, Norway. Molde, Norway.
[139]
Jenelius, E., Petersen, T., Mattsson, L.-G. (2006). Road network vulnerability : Identifying important links and exposed regions. Presenterad vid Transport Research Arena Conference, June 12-15. Göteborg.
[140]
Jenelius, E., Petersen, T. (2005). Importance and exposure in road network vulnerability analysis : A case study for northern Sweden. Presenterad vid 8th NECTAR Conference, Las Palmas de Gran Canaria, Spain, 2-4 June 2005.
Kapitel i böcker
[141]
Jenelius, E. (2022). Impact on Public Transport. I Maria Attard and Corrinne Mulley (Red.), Transport and Pandemic Experiences (s. 287-302). Bingley: Emerald Group Publishing Limited.
Icke refereegranskade
Konferensbidrag
[142]
Khan, M. A., Burghout, W., Cats, O., Jenelius, E., Cebecauer, M. (2023). A comprehensive review of viability and operability of dynamic charging solutions for autonomous electric vehicles. Presenterad vid 12th Annual Swedish Transport Research Conference, Stockholm, Sweden, 16-17 October 2023.
[143]
Berg Wincent, B., Jenelius, E., Burghout, W. (2023). Attitudes and perceptions of shared e-scooter parking in Stockholm, Gothenburg and Malmö. Presenterad vid 12th Annual Swedish Transport Research Conference, Stockholm, Sweden, 16-17 October 2023.
[144]
Skoufas, A., Cebecauer, M., Burghout, W., Jenelius, E. (2023). Generating and evaluating route choice sets for large multimodal public transport networks: A case study for Stockholm Region. Presenterad vid 12th Annual Swedish Transport Research Conference, Stockholm, Sweden, 16-17 October 2023.
[145]
Cebecauer, M., Gundlegård, D., Jenelius, E., Burghout, W. (2023). High-resolution public transport mode share estimation from mobile network and smart card data. Presenterad vid 12th Annual Swedish Transport Research Conference, Stockholm, Sweden, 16-17 October 2023.
[146]
Jenelius, E., Badia, H., Berg Wincent, B., Burghout, W. (2022). Delade elsparkcyklar : en kunskapsöversikt och studie av användarnas gångavstånd. Presenterad vid Transportforum, 16-17 juni 2022, Linköping.
[147]
Jenelius, E. (2022). Konsekvensanalyser av vägavbrott. Presenterad vid Transportforum, 16-17 juni 2022, Linköping.
[148]
Zhang, Q., Zhang, P., Jenelius, E., Ma, Z. (2022). Mobility knowledge graph and assisted application. Presenterad vid 11th Swedish Transport Research Conference, 18-19 October 2022, Lund, Sweden.
[149]
Dong, Z., Cebecauer, M., Jenelius, E. (2022). Pattern recognition in dynamic origin-destination matrices using dimensionality reduction and short-term prediction. Presenterad vid 11th Swedish Transport Research Conference, 18-19 October 2022, Lund, Sweden.
[150]
Jenelius, E. (2022). Simulation-and data-driven public transport operations. Presenterad vid Trafikdage 2022, Aalborg, Denmark, 22-23 August 2022.
[151]
Lin, J., Jenelius, E., Cebecauer, M., Rubensson, I., Chen, C. (2022). The equity of public transport crowding exposure. Presenterad vid 11th Swedish National Transport Conference, 18-19 October 2022, Sweden.
[152]
Zhang, Q., Zhang, P., Jenelius, E., Ma, Z. (2022). Understand Travel Activities : Mobility Knowledge Graph Construction from Smart Card Data. Presenterad vid Transportforum, Linköping, 16–17 juni 2022.
[153]
Cebecauer, M., Jenelius, E., Gundlegård, D., Burghout, W. (2022). Using flows or speeds in traffic pattern clustering and prediction : does the data type matter?. Presenterad vid Transportforum, Linköping, 16–17 juni 2022.
[154]
Jenelius, E. (2021). Effekter av COVID-19 på kollektivtrafikresandet i Sverige : Analys av biljettdata och passagerarräkningar. Presenterad vid Transportforum, Linköping, 13-14 januari 2021.
[155]
Peftitsi, S., Jenelius, E., Cats, O. (2020). Evaluating Crowding in Individual Train Cars Using a Dynamic Transit Assignment Model. Presenterad vid Transportforum, Linköping, 8-9 januari 2020.
[156]
Cebecauer, M., Vermeulen, A., Cats, O., Kholodov, Y., Jenelius, E. (2020). Generating Network-Wide Travel Diaries and OD Matrices Using Stockholm County Smartcard Data. Presenterad vid Transportforum, Linköping, 8-9 januari 2020.
[157]
Rubensson, I., Cats, O., Cebecauer, M., Jenelius, E., Susilo, Y., Kholodov, Y. (2020). Resmönster och fördelningseffekter av taxeförändringanalyserat med hjälp av biljettvalideringsdata. Presenterad vid Transportforum, 8-9 januari 2020, Linköping.
[158]
Jenelius, E. (2019). Att prediktera trängseln i bussar och tunnelbana. Presenterad vid Transportforum, Linköping, Sweden, 9-10 January 2019.
[159]
Hatzenbühler, J., Jenelius, E., Cats, O. (2019). Determining the optimal allocation of automated buses on a public transport network. Presenterad vid Transportforum, Linköping, Sweden, 10-11 January 2019.
[160]
Zhang, W., Jenelius, E., Badia, H. (2019). Efficiency of semi and fully autonomous bus services : An a nalytical approach. Presenterad vid Swedish National Transport Research Conference, Linköping, 21-22 October 2019.
[161]
Badia, H., Jenelius, E. (2019). Operation of automated buses for first/last-mile solutions: fixed routes versus door-to-door trips. Presenterad vid Swedish Transportation Research Conference, Linköping, Sweden, 22-23 October 2019.
[162]
Cebecauer, M., Gundlegård, D., Jenelius, E., Burghout, W. (2019). Real-time city-level traffic prediction in the context of Stockholm City. Presenterad vid Transportforum, Linköping, Sweden, 10-11 January 2019.
[163]
Leffler, D., Jenelius, E., Burghout, W., Cats, O. (2019). Simulation based evaluation of fixed versus on-demand feeder operations. Presenterad vid Swedish Transportation Research Conference, Linköping, Sweden, 22-23 October 2019.
[164]
Leffler, D., Jenelius, E., Cats, O., Burghout, W. (2019). Utvärdering av delade självkörande fordon inom efterfrågestyrd kollektivtrafik genom simulering. Presenterad vid Transportforum, Linköping, Sweden, 10-11 January 2019..
[165]
Hatzenbühler, J., Jenelius, E. (2018). Determining the Optimal Allocation of Automated Buses : A Study for Kista, Stockholm. Presenterad vid Swedish Transport Research Conference, Gothenburg, Sweden, 15-16 October 2018.
[166]
Jenelius, E. (2018). Tillförlitlighet i upplevd service i kollektivtrafiken : Restid och reseförhållanden. Presenterad vid Transportforum, Linköping, Sweden, 10-11 January 2018.
[167]
Gundlegård, D., Jenelius, E., Cebecauer, M., Ringdahl, R., Ekström, J., Burghout, W. (2018). Travel time estimation and prediction for traffic management in Stockholm. Presenterad vid Transportforum, Linköping, Sweden, 10-11 January 2018.
[168]
Leffler, D., Cats, O., Gavrilidou, A., Jenelius, E., Laskaris, G. (2017). Analys och utveckling av realtids-kontrollstrategier för bussar genom mesoskopisk simulering. Presenterad vid Transportforum, Linköping, Sweden, 10-11 January 2017.
[169]
Jenelius, E., Kristoffersson, I., Fransson, M. (2016). Makroskopiska fundamentaldiagram för Stockholm : Empirisk och simuleringsbaserad analys. Presenterad vid Swedish Transport Research Conference, Lund, Sweden, 18-19 October 2016.
[170]
Fu, J., Jenelius, E. (2016). Off-peak goods deliveries in Stockholm inner city - evaluation of transport efficiency. Presenterad vid Off-peak city distribution - workshop.
[171]
Tympakianaki, A., Rahmani, M., Koutsopoulos, H. N., Jenelius, E. (2016). The traffic impacts of tunnel closures : Evidence from sensors and Google Traffic Statistics. Presenterad vid Transportforum, Linköping, Sweden, 12-13 January 2016.
[172]
Jenelius, E., Rahmani, M., Koutsopoulos, H. N. (2015). Trängselindex från kombinerade trafikdata. Presenterad vid Transportforum, Linköping, Sweden, 8-9 January 2015.
[173]
Jenelius, E., Cats, O. (2014). Kollektivtrafikens sårbarhet och strategier för att minska den : En simuleringsstudie i Stockholm. Presenterad vid Transportforum, Linköping, Sweden, 8-9 January 2014.
[174]
Jenelius, E., Rahmani, M., Koutsopoulos, H. N. (2014). Restidsfördelningar på rutter från floating car-data. Presenterad vid Transportforum, Linköping, Sweden, 8-9 January 2014.
[175]
Jenelius, E., Rahmani, M., Koutsopoulos, H. N. (2012). Restider i Stockholms vägnät: Estimering med GPS-data från taxibilar. Presenterad vid Transportforum, Linköping, Sweden, 11-12 January 2012.
[176]
Jenelius, E. (2010). Vilka regioner är mest sårbara för avbrott i vägnätet och varför?. Presenterad vid Transportforum, Linköping, Sweden, 13-14 January 2010.
[177]
Jenelius, E. (2009). Hur sårbart är vägnätet för utbredda avbrott?. Presenterad vid Transportforum, Linköping, Sweden, 8-9 January 2009.
[178]
Jenelius, E. (2007). Sårbarhetsanalys av vägtransportnätverk. Presenterad vid Transportforum, Linköping, Sweden, 10-11 January 2007.
[179]
Petersen, T., Jenelius, E., Mattsson, L.-G. (2006). Utsatthet och betydelse i sårbarhetsanalyser av vägnät \ Exposure and importance in road network vulnerability analysis : En fallstudie av norra Sverige \ A case study of Northern Sweden. Presenterad vid Transportforum. Linköping, Sverige. 11-12 januari 2006.
Kapitel i böcker
[180]
Jenelius, E. (2022). Rail transport resilience to demand shocks and COVID-19. I Rui Calçada and Sakdirat Kaewunruen (Red.), Rail Infrastructure Resilience: A Best-Practices Handbook ( (1 uppl.) s. 65-79). Elsevier.
[181]
Jenelius, E. & Mattsson, L.-G. (2021). Resilience of transport systems. I Roger Vickerman (Red.), International Encyclopedia of Transportation ( (1 uppl.) s. 258-267). Elsevier.
[182]
Mattsson, L.-G. & Jenelius, E. (2015). Transportsystemets sårbarhet och resiliens. I Slutrapport från Ramforskningsprogrammet PRIVAD (s. 54-65). Lund: Lunds universtitet.
Avhandlingar
[183]
Jenelius, E. (2010). Large-Scale Road Network Vulnerability Analysis (Doktorsavhandling , KTH, Stockholm, Trita-TEC-PHD 10:005). Hämtad från https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-24952.
[184]
Jenelius, E. (2007). Approaches to road network vulnerability analysis (Licentiatavhandling , KTH, Stockholm, Trita-TEC-LIC 07-002). Hämtad från http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4518.
Rapporter
[185]
Burghout, W., Cebecauer, M., Danielsson, A., Gundlegård, D., Jenelius, E. & Rydergren, C. (2024). Multimodal Traffic Management: Project Report. .
[186]
Jenelius, E., Berg Wincent, B. & Burghout, W. (2023). Modellering av mikromobilitet (M3) - Resmönster, potential och utformning av delade elskotertjänster : Forskningsprojekt finansierat av Trafikverket (TRV 2021/22609) (TRITA-ABE-RPT 2329). Stockholm: KTH Royal Institute of Technology.
[187]
Berg Wincent, B., Jenelius, E. & Burghout, W. (2023). Parkering av elsparkcyklar : Enkätundersökning av effekter och åsikter kring parkeringsförbudet i Stockholm, Göteborg och Malmö (TRITA-ABE-RPT 237). Stockholm.
[188]
Jenelius, E., Andersson, J., Fröidh, O., Jonsson, R. D., Ma, Z., Zefreh, M. M. & Wang, Q. (2023). Prestudy on Establishing a Research Project on Forecasting Methodology (TRITA-ABE-RPT 2328). Stockholm: KTH Royal Institute of Technology.
[189]
[190]
Badia Rodriguez, H., Jenelius, E., Lansner, E. & Montero, M. (2021). Modelling of Micromobility (M3) - Prestudy on Knowledge Needs and Usage Patterns : Final report. KTH Royal Institute of Technology.
[191]
Cats, O., Ferranti, F., Rubensson, I., Cebecauer, M., Kolkowski, L. & Jenelius, E. (2021). Unravelling Mobility Patterns using Longitudinal Smart Card Data : Final report for Trafik och Region 2019SLL-KTH research project. KTH Royal Institute of Technology.
[192]
Jenelius, E., Brundell-Freij, K., Wang, Q., Cebecauer, M. & van Amelsfort, D. (2020). Bilrestider i storstad: Variationsmönster och upplevd osäkerhet (VARIA) : Slutrapport för projekt som genomförts på uppdrag av Trafikverket. KTH Royal Institute of Technology.
[193]
Cats, O., Rubensson, I., Cebecauer, M., Kholodov, Y., Vermeulen, A., Jenelius, E. & Susilo, Y. (2019). How fair is the fare? Estimating travel patterns and the impacts of fare schemes for different user groups in Stockholm based on smartcard data : Final report for Trafik och Region 2018 SLL-KTH research project. KTH Royal Institute of Technology.
[194]
Peftitsi, S., Jenelius, E. & Cats, O. (2019). Modeling the interaction between metro platform and on-board crowding. KTH Royal Institute of Technology.
[195]
Jenelius, E. & Cebecauer, M. (2019). SHARP: Pre-study of Data Sharing for Demand-Responsive and Public Transport System-of-Systems : Public report. Fordonsstrategisk forskning och innovation.
[196]
Pernestål Brenden, A., Darwish, R., Susilo, Y., Chee, P. N. E., Jenelius, E., Hatzenbühler, J. & Hafmar, P. (2018). Shared Automated Vehicles - Research & Assessment in a 1st pilot : SARA1 Results report. KTH Royal Institute of Technology.
[197]
Toledo, T., Jenelius, E., Cats, O., Koutsopoulos, H. N., Manasra, H. & Leffler, D. (2017). ADAPT‐IT : Improved transit service through real‐time operations control and traveller informationFinal report. .
[198]
Jenelius, E., Kristoffersson, I. & Fransson, M. (2017). Dynamiska trängselindex. KTH Royal Institute of Technology.
[199]
Jenelius, E., Kazagli, E. & Börjesson, M. (2012). Förstudie av möjligheterna att knyta trängselskatten till ett trängselindex. KTH Royal Institute of Technology.
Övriga
[200]
Berg Wincent, B., Jenelius, E., Burghout, W. (). Shared e-scooters: A last-minute mode?. (Manuskript).
Senaste synkning med DiVA:
2024-04-25 00:34:15