IDEAS home Printed from https://ideas.repec.org/a/gam/jdataj/v4y2019i3p108-d252063.html
   My bibliography  Save this article

Urban Mobility Demand Profiles: Time Series for Cars and Bike-Sharing Use as a Resource for Transport and Energy Modeling

Author

Listed:
  • Michel Noussan

    (Fondazione Eni Enrico Mattei, corso Magenta 63, 20123 Milano, Italy)

  • Giovanni Carioni

    (Politecnico di Torino, corso Duca degli Abruzzi 24, 10129 Torino, Italy)

  • Francesco Davide Sanvito

    (Politecnico di Milano, Via Lambruschini 4c, 20156 Milano, Italy)

  • Emanuela Colombo

    (Fondazione Eni Enrico Mattei, corso Magenta 63, 20123 Milano, Italy
    Politecnico di Milano, Via Lambruschini 4c, 20156 Milano, Italy)

Abstract

The transport sector is currently facing a significant transition, with strong drivers including decarbonization and digitalization trends, especially in urban passenger transport. The availability of monitoring data is at the basis of the development of optimization models supporting an enhanced urban mobility, with multiple benefits including lower pollutants and CO 2 emissions, lower energy consumption, better transport management and land space use. This paper presents two datasets that represent time series with a high temporal resolution (five-minute time step) both for vehicles and bike sharing use in the city of Turin, located in Northern Italy. These high-resolution profiles have been obtained by the collection and elaboration of available online resources providing live information on traffic monitoring and bike sharing docking stations. The data are provided for the entire year 2018, and they represent an interesting basis for the evaluation of seasonal and daily variability patterns in urban mobility. These data may be used for different applications, ranging from the chronological distribution of mobility demand, to the estimation of passenger transport flows for the development of transport models in urban contexts. Moreover, traffic profiles are at the basis for the modeling of electric vehicles charging strategies and their interaction with the power grid.

Suggested Citation

  • Michel Noussan & Giovanni Carioni & Francesco Davide Sanvito & Emanuela Colombo, 2019. "Urban Mobility Demand Profiles: Time Series for Cars and Bike-Sharing Use as a Resource for Transport and Energy Modeling," Data, MDPI, vol. 4(3), pages 1-12, July.
    • Handle: RePEc:gam:jdataj:v:4:y:2019:i:3:p:108-:d:252063
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2306-5729/4/3/108/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2306-5729/4/3/108/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Salvucci, Raffaele & Tattini, Jacopo & Gargiulo, Maurizio & Lehtilä, Antti & Karlsson, Kenneth, 2018. "Modelling transport modal shift in TIMES models through elasticities of substitution," Applied Energy, Elsevier, vol. 232(C), pages 740-751.
    2. Kou, Zhaoyu & Cai, Hua, 2019. "Understanding bike sharing travel patterns: An analysis of trip data from eight cities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 515(C), pages 785-797.
    3. Jelica, D. & Taljegard, M. & Thorson, L. & Johnsson, F., 2018. "Hourly electricity demand from an electric road system – A Swedish case study," Applied Energy, Elsevier, vol. 228(C), pages 141-148.
    4. Levy, Nadav & Golani, Chen & Ben-Elia, Eran, 2019. "An exploratory study of spatial patterns of cycling in Tel Aviv using passively generated bike-sharing data," Journal of Transport Geography, Elsevier, vol. 76(C), pages 325-334.
    5. Noussan, Michel, 2019. "Effects of the Digital Transition in Passenger Transport - an Analysis of Energy Consumption Scenarios in Europe," FEP: Future Energy Program 285023, Fondazione Eni Enrico Mattei (FEEM) > FEP: Future Energy Program.
    6. Michel Noussan, 2019. "Effects of the Digital Transition in Passenger Transport - an Analysis of Energy Consumption Scenarios in Europe," Working Papers 2019.01, Fondazione Eni Enrico Mattei.
    7. Jestico, Ben & Nelson, Trisalyn & Winters, Meghan, 2016. "Mapping ridership using crowdsourced cycling data," Journal of Transport Geography, Elsevier, vol. 52(C), pages 90-97.
    8. Tattini, Jacopo & Gargiulo, Maurizio & Karlsson, Kenneth, 2018. "Reaching carbon neutral transport sector in Denmark – Evidence from the incorporation of modal shift into the TIMES energy system modeling framework," Energy Policy, Elsevier, vol. 113(C), pages 571-583.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pastore, Lorenzo Mario & Lo Basso, Gianluigi & Ricciardi, Guido & de Santoli, Livio, 2023. "Smart energy systems for renewable energy communities: A comparative analysis of power-to-X strategies for improving energy self-consumption," Energy, Elsevier, vol. 280(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Andreas Andreou & Panagiotis Fragkos & Theofano Fotiou & Faidra Filippidou, 2022. "Assessing Lifestyle Transformations and Their Systemic Effects in Energy-System and Integrated Assessment Models: A Review of Current Methods and Data," Energies, MDPI, vol. 15(14), pages 1-24, July.
    2. Pedinotti-Castelle, Marianne & Pineau, Pierre-Olivier & Vaillancourt, Kathleen & Amor, Ben, 2022. "Freight transport modal shifts in a TIMES energy model: Impacts of endogenous and exogenous modeling choice," Applied Energy, Elsevier, vol. 324(C).
    3. Salvucci, Raffaele & Gargiulo, Maurizio & Karlsson, Kenneth, 2019. "The role of modal shift in decarbonising the Scandinavian transport sector: Applying substitution elasticities in TIMES-Nordic," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    4. Xavier Bach & Carme Miralles-Guasch & Oriol Marquet, 2023. "Spatial Inequalities in Access to Micromobility Services: An Analysis of Moped-Style Scooter Sharing Systems in Barcelona," Sustainability, MDPI, vol. 15(3), pages 1-19, January.
    5. Raffaele Salvucci & Stefan Petrović & Kenneth Karlsson & Markus Wråke & Tanu Priya Uteng & Olexandr Balyk, 2019. "Energy Scenario Analysis for the Nordic Transport Sector: A Critical Review," Energies, MDPI, vol. 12(12), pages 1-19, June.
    6. Ross-Perez, Antonio & Walton, Neil & Pinto, Nuno, 2022. "Identifying trip purpose from a dockless bike-sharing system in Manchester," Journal of Transport Geography, Elsevier, vol. 99(C).
    7. Luh, Sandro & Kannan, Ramachandran & McKenna, Russell & Schmidt, Thomas J. & Kober, Tom, 2024. "Quantifying the impact of travel time duration and valuation on modal shift in Swiss passenger transportation," Applied Energy, Elsevier, vol. 356(C).
    8. Hagos, Dejene Assefa & Ahlgren, Erik O., 2020. "Exploring cost-effective transitions to fossil independent transportation in the future energy system of Denmark," Applied Energy, Elsevier, vol. 261(C).
    9. Radzimski, Adam & Dzięcielski, Michał, 2021. "Exploring the relationship between bike-sharing and public transport in Poznań, Poland," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 189-202.
    10. Yingge Zhang & Zhihu Xia & Yanni Li & Anmai Dai & Jie Wang, 2023. "Sustainable Digital Marketing Model of Geoenergy Resources under Carbon Neutrality Target," Sustainability, MDPI, vol. 15(3), pages 1-18, January.
    11. Tattini, Jacopo & Ramea, Kalai & Gargiulo, Maurizio & Yang, Christopher & Mulholland, Eamonn & Yeh, Sonia & Karlsson, Kenneth, 2018. "Improving the representation of modal choice into bottom-up optimization energy system models – The MoCho-TIMES model," Applied Energy, Elsevier, vol. 212(C), pages 265-282.
    12. Wojciech Rabiega & Artur Gorzałczyński & Robert Jeszke & Paweł Mzyk & Krystian Szczepański, 2021. "How Long Will Combustion Vehicles Be Used? Polish Transport Sector on the Pathway to Climate Neutrality," Energies, MDPI, vol. 14(23), pages 1-19, November.
    13. Blanco, Herib & Gómez Vilchez, Jonatan J. & Nijs, Wouter & Thiel, Christian & Faaij, André, 2019. "Soft-linking of a behavioral model for transport with energy system cost optimization applied to hydrogen in EU," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    14. Liimatainen, Heikki & van Vliet, Oscar & Aplyn, David, 2019. "The potential of electric trucks – An international commodity-level analysis," Applied Energy, Elsevier, vol. 236(C), pages 804-814.
    15. Indre Siksnelyte-Butkiene & Dalia Streimikiene, 2022. "Sustainable Development of Road Transport in the EU: Multi-Criteria Analysis of Countries’ Achievements," Energies, MDPI, vol. 15(21), pages 1-25, November.
    16. Yanez-Rosales, Pablo & Río-Gamero, B. Del & Schallenberg-Rodríguez, Julieta, 2024. "Rationale for selecting the most suitable areas for offshore wind energy farms in isolated island systems. Case study: Canary Islands," Energy, Elsevier, vol. 307(C).
    17. Mário Meireles & Paulo J. G. Ribeiro, 2020. "Digital Platform/Mobile App to Boost Cycling for the Promotion of Sustainable Mobility in Mid-Sized Starter Cycling Cities," Sustainability, MDPI, vol. 12(5), pages 1-27, March.
    18. Natalie Gryzunova & Kirill Vedenyev & Victoria Manuylenko & Igor Keri & Michał Bilczak, 2022. "Distributed Energy as a Megatrend of Audit of Investment Processes of the Energy Complex," Energies, MDPI, vol. 15(23), pages 1-16, December.
    19. Roy, Avipsa & Fuller, Daniel & Nelson, Trisalyn & Kedron, Peter, 2022. "Assessing the role of geographic context in transportation mode detection from GPS data," Journal of Transport Geography, Elsevier, vol. 100(C).
    20. Hong, Jinhyun & Philip McArthur, David & Stewart, Joanna L., 2020. "Can providing safe cycling infrastructure encourage people to cycle more when it rains? The use of crowdsourced cycling data (Strava)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 109-121.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jdataj:v:4:y:2019:i:3:p:108-:d:252063. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.