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

Michel Noussan, Giovanni Carioni, Francesco Davide Sanvito and Emanuela Colombo
Additional contact information
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

Data, 2019, vol. 4, issue 3, 1-12

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.

Keywords: urban mobility; demand profiles; transport data; cars; bike sharing (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2306-5729/4/3/108/pdf (application/pdf)
https://www.mdpi.com/2306-5729/4/3/108/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jdataj:v:4:y:2019:i:3:p:108-:d:252063

Access Statistics for this article

Data is currently edited by Ms. Cecilia Yang

More articles in Data from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().