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Publications (10 of 23) Show all publications
Sprei, F., Kazemzadeh, K., Faxer, A., Einarson Lindvall, E., Lundahl, J., Rosell, J., . . . Engdahl, H. (2023). How can e-scooter better contribute to a sustainable transport system?.
Open this publication in new window or tab >>How can e-scooter better contribute to a sustainable transport system?
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2023 (English)Other (Other academic)
Abstract [en]

The eSPARK project examines the sustainability profile of the popular shared e-scooters through policy analysis, usage data analysis, surveys, and life cycle assessment. Policies and attempts to regulate e-scooters in Swedish and European cities are studied and discussed with stakeholders. The LCA-results suggest that factors such as how e-scooters are collected and distributed, and the total ridden kilometers have significant impact on their environmental impact. The project also suggests different methods that can support cities to predict the geographical area of the e-scooters and offers insights about how e-scooters are used in the cities. Usage data and the surveys show that they are used by active people in areas with a lot of activities, especially restaurants and clubs. Users are likely to have a driving license, to frequently use a car but also to have a monthly pass for public transport. Thus, escooters have a potential to mitigate congestion on roads and public transport but may lead to more traffic on bike infrastructure instead.

National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:ri:diva-67528 (URN)
Note

This project is granted by the Swedish Energy Agency (Dnr 2020-011467)

Available from: 2023-10-12 Created: 2023-10-12 Last updated: 2024-07-04Bibliographically approved
Rogstadius, J. & Pettersson, S. (2022). Charging Infrastructure Recommendations for Cities Targeting Full Passenger Car Electrification, Based on a Case Study of Stockholm County. In: 35th International Electric Vehicle Symposium and Exhibition: EVS35. Paper presented at EVS35 International Electric Vehicle Symposium and Exhibition. Oslo, Norway
Open this publication in new window or tab >>Charging Infrastructure Recommendations for Cities Targeting Full Passenger Car Electrification, Based on a Case Study of Stockholm County
2022 (English)In: 35th International Electric Vehicle Symposium and Exhibition: EVS35, Oslo, Norway, 2022Conference paper, Published paper (Other academic)
Abstract [en]

We present a novel methodology for calculating the density of charging infrastructure required to enable electrification of all passenger cars in a large geographic region. We combine this method with models of charging infrastructure cost, forecasts of levelized costs for operating combustion engine and battery electric cars and forecasts of market penetration, to calculate the socio-economic value of passenger car electrification over the 2020-2040 period. Recommendations for urban regions are derived based on application of the method to Stockholm County, Sweden. Electrification is shown to generate long-term savings of up to 1800 euro per car-year and the opportunity cost of delaying the transition by a single year is comparable to the full cost of deploying the infrastructure that enables the shift. Large-scale deployment of dynamic charging is a cost-viable alternative to static charging for full electrification of urban passenger car fleets.

Place, publisher, year, edition, pages
Oslo, Norway: , 2022
Keywords
infrastructure, municipal government, optimization, passenger car, strategy
National Category
Transport Systems and Logistics Energy Systems
Identifiers
urn:nbn:se:ri:diva-72466 (URN)
Conference
EVS35 International Electric Vehicle Symposium and Exhibition
Funder
EU, Horizon 2020, 769052
Note

This research is part of the MEISTER project, which received funding from the European Union’s Horizon 2020 research and innovation programme under the grant agreement No 769052.

Available from: 2024-04-03 Created: 2024-04-03 Last updated: 2024-04-03
Sprei, F., Habibi, S., Englund, C., Pettersson, S., Voronov, A. & Wedlin, J. (2019). Free-floating car-sharing electrification and mode displacement: Travel time and usage patterns from 12 cities in Europe and the United States. Transportation Research Part D: Transport and Environment, 71, 127-140
Open this publication in new window or tab >>Free-floating car-sharing electrification and mode displacement: Travel time and usage patterns from 12 cities in Europe and the United States
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2019 (English)In: Transportation Research Part D: Transport and Environment, ISSN 1361-9209, E-ISSN 1879-2340, Vol. 71, p. 127-140Article in journal (Refereed) Published
Abstract [en]

Free-floating car-sharing (FFCS) allows users to book a vehicle through their phone, use it and return it anywhere within a designated area in the city. FFCS has the potential to contribute to a transition to low-carbon mobility if the vehicles are electric, and if the usage does not displace active travel or public transport use. The aim of this paper is to study what travel time and usage patterns of the vehicles among the early adopters of the service reveal about these two issues. We base our analysis on a dataset containing rentals from 2014 to 2017, for 12 cities in Europe and the United States. For seven of these cities, we have collected travel times for equivalent trips with walking, biking, public transport and private car. FFCS services are mainly used for shorter trips with a median rental time of 27 min and actual driving time closer to 15 min. When comparing FFCS with other transport modes, we find that rental times are generally shorter than the equivalent walking time but longer than cycling. For public transport, the picture is mixed: for some trips there is no major time gain from taking FFCS, for others it could be up to 30 min. For electric FFCS vehicles rental time is shorter and the number of rentals per car and day are slightly fewer compared to conventional vehicles. Still, evidence from cities with an only electric fleet show that these services can be electrified and reach high levels of utilization.

Keywords
Alternative trips, Electric vehicles, Free-floating car-sharing, Shared mobility, Travel time, Usage patterns, Vehicles, Floating car, Low carbon, Mode-displacements, Public transport, Time gain, Transport modes
National Category
Natural Sciences
Identifiers
urn:nbn:se:ri:diva-36926 (URN)10.1016/j.trd.2018.12.018 (DOI)2-s2.0-85058802098 (Scopus ID)
Available from: 2018-12-28 Created: 2018-12-28 Last updated: 2023-06-08Bibliographically approved
Sundelin, H., Linder, M., Mellquist, A.-C., Gustavsson, M. G. H., Börjesson, C. & Pettersson, S. (2018). Business case for electric road. In: : . Paper presented at 7th Transport Research Arena TRA 2018, April 16-19, 2018, Vienna, Austria.
Open this publication in new window or tab >>Business case for electric road
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2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Electrified roads have the potential to reduce carbon dioxide emissions from the transport sector. Where long-distance heavy traffic is concerned, there is actually no cheaper alternative which is equally energy-efficient, has such low carbon dioxide emissions and for which the energy supply is assured in Sweden and the rest of Europe. Many questions nevertheless remain.

In this preliminary study we have focussed on the business ecosystem likely to be built up alongside an electrified road. This has been done by means of interviewing interested parties and a thorough review of previous publications. On the basis of this background information, a computation model has been developed to be able to analyse the influence of various parameters. The stretch of 120 kilometre long road between Gävle and Borlänge has been used as a case study but an attempt to find other applicable stretches has also been undertaken. The model has a solid footing with the parties involved in the project and with people who have good insight into financial computations previously undertaken in relation to electrified roads.

The computation model that has been developed is primarily thought of as a model for overall surpluses or deficits for all stakeholders in the business ecosystem. It is not, therefore, a complete socio-economic model, which would include considerably more consequences for society at large, such as the influence on local and national businesses, increased employment and so forth. The model has been developed on the assumption that all prices and values are given for a point in time when the solution is in an ’early commercialisation phase’.

In comparison with diesel routes, it generally applies for electrified roads that every kilometre of road and every vehicle adds extra costs and that every kilometre driven creates savings. Thus for an electrified road system to be profitable, the stretch of electrified road must comprise a significant percentage of the overall distance driven by a truck. Nor must the stretch of road be too short, for then too much time is spent loading/unloading and too few kilometres (where the savings occur) are driven. Following familiarisation with various scenarios, a coherent, highly qualitative judgment, based on the electrified road computation model, would suggest that the suitable characteristics for such roads would be:

  • A distance of at least twenty kilometres
  • Annual average daily traffic (AADT) for electrified road trucks should be around two times as many as the number of electrified kilometres
  • The electrified stretch should comprise 60% percent or more of the trucks’ overall distance driven each year.

For the case of Gävle-Borlänge (120 km), it appears that the stretch will be able to pay for itself, for example, when 190 electrified trucks complete the stretch an average of 4 times per day throughout the year (back and forth twice a day 365 days a year), amounting to 92% of the vehicles’ overall distance being driven on electrified road.

Keywords
Electric Road System; ERS; Dynamic power transfer; Sustainable transport; Electric vehicles
National Category
Engineering and Technology
Identifiers
urn:nbn:se:ri:diva-37687 (URN)
Conference
7th Transport Research Arena TRA 2018, April 16-19, 2018, Vienna, Austria
Available from: 2019-01-31 Created: 2019-01-31 Last updated: 2023-05-25
Pettersson, S., Bjärsvik, S., Englund, C., Eriksson, R., Koponen, V., Kristiansson, U., . . . Wedlin, J. (2018). Driving style comparison of plug-in hybrids and fossil fueled vehicles based on data collection of fast sampled signals. In: : . Paper presented at 31st International Electric Vehicles Symposium & Exhibition (EVS 31) & International Electric Vehicle Technology Conference 2018 (EVTeC 2018), 1-3 October 2018, Kobe, Japan. , Article ID 20189393.
Open this publication in new window or tab >>Driving style comparison of plug-in hybrids and fossil fueled vehicles based on data collection of fast sampled signals
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2018 (English)Conference paper, Published paper (Other academic)
National Category
Natural Sciences
Identifiers
urn:nbn:se:ri:diva-37618 (URN)
Conference
31st International Electric Vehicles Symposium & Exhibition (EVS 31) & International Electric Vehicle Technology Conference 2018 (EVTeC 2018), 1-3 October 2018, Kobe, Japan
Available from: 2019-01-28 Created: 2019-01-28 Last updated: 2023-04-19Bibliographically approved
Faxer, A., Olausson, E., Olsson, L., Smith, G. & Pettersson, S. (2018). Electric cargo bike with a twist - A field test of two innovative bicycle concepts. In: : . Paper presented at EVS 31 & EVTeC 2018, Kobe, Japan, October 1 - 3, 2018.
Open this publication in new window or tab >>Electric cargo bike with a twist - A field test of two innovative bicycle concepts
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2018 (English)Conference paper, Published paper (Other academic)
Abstract [en]

Electric cargo (e-cargo) bikes have superior carrying capacity compared to conventional bicycles. Consequently, both scholars and policymakers have proposed that e-cargo bikes might be the answer to realizing car-free living. This study aims to identify their potential to replace car-use from the user’s, the manufacturer’s and the city’s perspective. Two versions of an e-cargo bike concept, equipped with weather protection, were field tested across four professional organizations in Gothenburg, Sweden. In short, the data show that the demonstrated e-cargo bikes can replace certain car travel. Still, this modal shift seems contingent to strong organizational and managerial support.

Keywords
electric cargo bike, light vehicles, user study, business trips, transportation planning
National Category
Natural Sciences
Identifiers
urn:nbn:se:ri:diva-34908 (URN)
Conference
EVS 31 & EVTeC 2018, Kobe, Japan, October 1 - 3, 2018
Note

This research project is financed by the Swedish Energy Agency and supported by the City of Gothenburg.

Available from: 2018-08-22 Created: 2018-08-22 Last updated: 2023-06-02Bibliographically approved
Nyman, J., Enerbäck, O. & Pettersson, S. (2018). Making an electrification analysis tool for multiple types of transportation. In: : . Paper presented at EVS 31 & EVTeC 2018, Kobe, Japan, October 1 - 3, 2018.
Open this publication in new window or tab >>Making an electrification analysis tool for multiple types of transportation
2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Based on an existing tool for analyzing the viability and cost effectiveness of different electric bus systems, the extension to other types of transportation is discussed. Similarities and dissimilarities are explored, the implications on the analysis tool in general and on its principal components are described, and the implementation of support for refuse collection is reported. Besides route- and timetable data, relatively few and minor issues need to be considered.

Keywords
electric vehicles, energy supply & infrastructure, modeling & simulation, refuse collection
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:ri:diva-34882 (URN)
Conference
EVS 31 & EVTeC 2018, Kobe, Japan, October 1 - 3, 2018
Note

The present work has been funded by The Swedish Energy Agency and Research Institutes of Sweden (RISE).

Available from: 2018-08-21 Created: 2018-08-21 Last updated: 2023-04-19Bibliographically approved
Englund, C., Engdahl, H., Habibi, S., Pettersson, S., Sprei, F., Voronov, A. & Wedlin, J. (2018). Method for prediction of Utilization Rate of Electric Vehicle Free-Floating Car Sharing Services using Data Mining. In: : . Paper presented at 31st International Electric Vehicles Symposium & Exhibition (EVS 31) & International Electric Vehicle Technology Conference 2018 (EVTeC 2018), 2018.
Open this publication in new window or tab >>Method for prediction of Utilization Rate of Electric Vehicle Free-Floating Car Sharing Services using Data Mining
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2018 (English)Conference paper, Published paper (Other academic)
Abstract [en]

Free-floating car sharing is a form of car rental used by people for short periods of time where the cars can be picked up and returned anywhere within a given area. In this paper, we have collected free-floating car sharing data, for electric as well as fossil fueled cars, and data regarding e.g. size of the city, number of cars in the service, etc. The utilization rates of the free-floating car sharing services vary much between the cities, greatly influencing the success of the services. This paper presents the most important factors influencing the utilization rate, and also a methodology to predict the utilization rate for new cities, using data mining based on Random Forests.

National Category
Natural Sciences
Identifiers
urn:nbn:se:ri:diva-37617 (URN)
Conference
31st International Electric Vehicles Symposium & Exhibition (EVS 31) & International Electric Vehicle Technology Conference 2018 (EVTeC 2018), 2018
Available from: 2019-01-28 Created: 2019-01-28 Last updated: 2023-06-08Bibliographically approved
Nyman, J., Olsson, O., Grauers, A., Östling, J., Ohlin, G. & Pettersson, S. (2017). A user-friendly method to analyze cost effectiveness of different electric bus systems. In: : . Paper presented at EVS30 International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium Stuttgart, Germany, October 9 - 11, 2017.
Open this publication in new window or tab >>A user-friendly method to analyze cost effectiveness of different electric bus systems
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2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper is an update on a method to analyze and compare electric bus and charging systems from a totalcost perspective. The method is useful for proposing a suitable combination of bus and charger systemsdepending on the route specifications, timetables and other local conditions. In this update, a user-friendlytool which simplifies the analysis process is presented. The analysis tool enables the user to experimentallyinvestigate and quantify the trade-offs between parameters such as battery size, charging strategies andcharging infrastructure, vehicle fleet and operational costs from a total cost perspective.

Keywords
BEV (battery electric vehicle), bus, cost, public transport, simulation
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:ri:diva-33071 (URN)2-s2.0-85050136130 (Scopus ID)
Conference
EVS30 International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium Stuttgart, Germany, October 9 - 11, 2017
Available from: 2018-01-15 Created: 2018-01-15 Last updated: 2024-06-25Bibliographically approved
Habibi, S., Sprei, F., Englund, C., Pettersson, S., Voronov, A., Wedlin, J. & Engdahl, H. (2017). Comparison of free-floating car sharing services incities. In: : . Paper presented at ECEEE 2017 Summer study. eceee 2017 Summer Study on energy efficiency Consumption, efficiency and limits ISSN: 2001-7960 (online)/1653-7025 (print) ISBN: 978-91-983878-1-0 (online)/978-91-983878-0-3 (print). , Article ID 4-109-17.
Open this publication in new window or tab >>Comparison of free-floating car sharing services incities
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2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

In recent years, free-floating car sharing services (FFCS) have been offered by many organizations as a moreflexible option compared to traditional car sharing. FFCS allows users to pick up and return cars anywherewithin a specified area of a city. FFCS can provide a high degree of utilization of vehicles and less usage ofinfrastructure in the form of parking lots and roads and thus has the potential to increase the efficiency of thetransport sector. However, there is also a concern that these compete with other efficient modes of transport suchas biking and public transport. The aim of this paper is to better understand how, when and where the vehiclesare utilized through logged data of the vehicles movements. We have access to data collected on FFCS servicesin 22 cities in Europe and North America which allows us to compare the usage pattern in different cities andexamine whether or not there are similar trends. In this paper, we use the collected data to compare the differentcities based on utilization rate, length of trip and time of day that the trip is made. We find that the vehicleutilization rates differ between cities with Madrid and Hamburg having some of the highest utilization levels forthe FFCS vehicles. The result form a first step of a better understanding on how these services are being usedand can provide valuable input to local policy makers as well as future studies such as simulation models.

National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:ri:diva-33077 (URN)
Conference
ECEEE 2017 Summer study. eceee 2017 Summer Study on energy efficiency Consumption, efficiency and limits ISSN: 2001-7960 (online)/1653-7025 (print) ISBN: 978-91-983878-1-0 (online)/978-91-983878-0-3 (print)
Note

Funding for this study is provided from the Swedish Energy Agency, Chalmers Area of Advance Transport andChalmers Area of Advance Energy.

Available from: 2018-01-15 Created: 2018-01-15 Last updated: 2023-06-08Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-9042-4760

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