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Langbroek, J. H. M., Cebecauer, M., Malmsten, J., Franklin, J. P., Susilo, Y. O. & Georén, P. (2019). Electric vehicle rental and electric vehicle adoption. Paper presented at 14th International Conference of the Network-on-European-Communications-and-Transport-Activities-Research (NECTAR), MAY 31-JUN 02, 2017, Madrid, Spain. Research in Transportation Economics, 73, 72-82
Open this publication in new window or tab >>Electric vehicle rental and electric vehicle adoption
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2019 (English)In: Research in Transportation Economics, ISSN 0739-8859, E-ISSN 1875-7979, Vol. 73, p. 72-82Article in journal (Refereed) Published
Abstract [en]

This case study describes the project Elbilsiandet (The Electric Vehicle Country) in Gotland, Sweden, where the island Gotland is made "ready for electric vehicles" by providing a network of charging infrastructure and electric vehicle rental during several summer seasons. The influence of the electric vehicle (EV) rental scheme on the process towards electric vehicle adoption is investigated using the Protection Motivation Theory (PMT) and the Transtheoretical Model of Change (TTM). Moreover, the travel patterns of electric rental cars are compared with those of conventional rental cars. The main results of this study are the following: Firstly, people renting an EV are on average closer to electric vehicle adoption than people renting a conventional vehicle. Secondly, people who rent an EV are at the time of rental associated with more positive attitudes towards EVs, have more knowledge about EVs and would feel more secure driving an EV. Thirdly, EV-rental does not seem to have a large additional effect on the stage-of-change towards EV-adoption of the participants. Lastly, the driving patterns of EVs do not seem to indicate serious limitations regarding driving distance, parking time and the destinations that have been visited, as compared to the driving patterns of conventional rental cars.

Place, publisher, year, edition, pages
Elsevier, 2019
Keywords
Electric vehicle adoption, Car rental, Transtheoretical model of change, Protection motivation theory, Driving patterns
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-255340 (URN)10.1016/j.retrec.2019.02.002 (DOI)000472704400008 ()2-s2.0-85061382286 (Scopus ID)
Conference
14th International Conference of the Network-on-European-Communications-and-Transport-Activities-Research (NECTAR), MAY 31-JUN 02, 2017, Madrid, Spain
Note

QC 20190807

Available from: 2019-08-07 Created: 2019-08-07 Last updated: 2019-08-07Bibliographically approved
Langbroek, J. H., Franklin, J. P. & Susilo, Y. (2018). A stated adaptation instrument for studying travel patterns after electric vehicle adoption. Transportation Research Procedia, 32, 464-473
Open this publication in new window or tab >>A stated adaptation instrument for studying travel patterns after electric vehicle adoption
2018 (English)In: Transportation Research Procedia, ISSN 2324-9935, E-ISSN 2352-1465, Vol. 32, p. 464-473Article in journal (Refereed) Published
Abstract [en]

This paper describes and evaluates a stated adaptation instrument to investigate the effects of a transition towards electric vehicles on travel behaviour. The respondents were equipped with an “imaginary” electric vehicle with a specific range and were asked whether they wanted to make changes in an activity-travel schedule they had previously registered. It has been found that electric vehicle use may increase car use, and that activities are likely to be cancelled in case of problems with range limitations. In this paper, the validity, reliability and practical implementation of this stated adaptation experiment are discussed.

Keywords
stated adaptation; electric vehicles; travel behaviour; survey instrument
National Category
Transport Systems and Logistics
Research subject
Transport Science
Identifiers
urn:nbn:se:kth:diva-238438 (URN)10.1016/j.trpro.2018.10.045 (DOI)000471307900048 ()2-s2.0-85058864598 (Scopus ID)
Funder
Swedish Energy Agency, 37054-1
Note

QC 20181101

Available from: 2018-10-31 Created: 2018-10-31 Last updated: 2019-07-24Bibliographically approved
Langbroek, J. H. .., Franklin, J. P. & Susilo, Y. O. (2018). How would you change your travel patterns if you used an electric vehicle? A stated adaptation approach. Travel Behaviour & Society, 13, 144-154
Open this publication in new window or tab >>How would you change your travel patterns if you used an electric vehicle? A stated adaptation approach
2018 (English)In: Travel Behaviour & Society, ISSN 2214-367X, E-ISSN 2214-3688, Vol. 13, p. 144-154Article in journal (Refereed) Published
Abstract [en]

The real environmental benefits of a transition towards EVs highly depend on the future EV-users’ activity-travel patterns adapted to their new vehicle’s capacity. Despite its importance, the impact of this adaptation is largely unknown. In this study, a stated adaptation experiment has been conducted to investigate changes of travel patterns as a result of range limitations or the opposite, abundant range. The basis for this experiment is a one-day travel diary among active drivers in Greater Stockholm. The main findings of this study are the following: (1) Drivers facing range limitations are more likely to make use of alternative means of transport (mainly public transport) if the travel time difference between car and public transport is low and if not many transfers are needed for the public transport trip. (2) In case of (perceived) range limitations, shopping trips and trips visiting friends or relatives are more likely to be cancelled than working trips. (3) The main trip purpose of additional trips in case of sufficient EV range is shopping. (4) A non-negligible number of public transport trips are likely to be replaced by EV. Shortly, the effects of the transition towards electric vehicle use on personal mobility seem to depend on the availability of accessible substitutes. Besides that, a rebound effect has been observed in this study.

National Category
Transport Systems and Logistics
Research subject
Transport Science
Identifiers
urn:nbn:se:kth:diva-233833 (URN)10.1016/j.tbs.2018.08.001 (DOI)000444461000012 ()2-s2.0-85051141590 (Scopus ID)
Funder
Swedish Energy Agency
Note

QC 20180830

Available from: 2018-08-29 Created: 2018-08-29 Last updated: 2018-10-02Bibliographically approved
Termida, N. A., Susilo, Y., Franklin, J. P. & Chengxi, L. (2018). Understanding seasonal variation in individual's activity participation and trip generation by using four consecutive two-week travel diary. Travel Behaviour & Society, 12, 52-63
Open this publication in new window or tab >>Understanding seasonal variation in individual's activity participation and trip generation by using four consecutive two-week travel diary
2018 (English)In: Travel Behaviour & Society, ISSN 2214-367X, E-ISSN 2214-3688, Vol. 12, p. 52-63Article in journal (Refereed) Published
Abstract [en]

This paper explores the interactions between travel demand, time allocation and mode choice in different seasons by jointly modeling the work and/or study, routine and leisure activity-travel engagements of 67 individuals in Stockholm, Sweden. A longitudinal panel two-week travel diary data collected in four consecutive waves over a span of seven months period that covers all four different seasons; autumn, winter, spring and summer, were analysed by using simultaneous Tobit models. The model was applied to explore the interactions among each activity-travel indicator, and individuals' unique characteristics and endogeneity in activity-travel engagements between different seasons were also considered in the model system. The results of models reveal clear trade-offs between mandatory activities (work and/or study) and non-mandatory activities (routine and leisure), regardless of any seasons, although the magnitudes vary between seasons. There is also a positive mutual endogeneity relationship between number of trips and activity duration within the same activity type. The trade-offs between work and/or study trips towards routine and leisure trips are larger in winter and spring respectively, than in other seasons. It is also found that mode effects on travel time for conducting mandatory activity are much larger in spring than in other seasons. However, the effects of public transport and slow modes on travel time for leisure activities are much larger in summer than in other seasons.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE BV, 2018
Keywords
Four-wave panel data, Activity-travel pattern, Seasonal variation, Simultaneous Tobit model, Stockholm, Sweden
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-231180 (URN)10.1016/j.tbs.2017.12.006 (DOI)000434667700007 ()2-s2.0-85044299566 (Scopus ID)
Note

QC 20180720

Available from: 2018-07-20 Created: 2018-07-20 Last updated: 2018-07-20Bibliographically approved
Langbroek, J. H., Franklin, J. P. & Susilo, Y. (2017). Electric vehicle users and their travel patterns in Greater Stockholm. Transportation Research Part D: Transport and Environment, 52, 98-111
Open this publication in new window or tab >>Electric vehicle users and their travel patterns in Greater Stockholm
2017 (English)In: Transportation Research Part D: Transport and Environment, ISSN 1361-9209, E-ISSN 1879-2340, Vol. 52, p. 98-111Article in journal (Refereed) Published
Abstract [en]

Electric vehicles (EVs) show promise for improving the environmental sustainability of the transport system since, as opposed to conventional vehicles, they have no tailpipe exhaust gas emissions. The use of EVs can also decrease the amount of greenhouse gas emissions, especially if the electricity has been generated with renewable energy sources. However, the scale of projected benefits can be questioned since the travel patterns of car drivers may not stay the same after changing to EVs, due to various factors such as higher investment costs, lower operation costs and general perceptions associated with electric vehicles. In this study, the travel patterns of both electric vehicle users and conventional vehicle users in Greater Stockholm are compared with regard to the number of trips made and the modal share of the car in the total travel distance. For this purpose, a one-day travel diary carried out in autumn 2014 has been used. The main findings are the following: firstly, the EV is generally perceived by respondents to be more environmentally friendly than public transport modes. Secondly, EV users make significantly more trips than their non-EV using counterparts, according to their one-day travel diaries and controlling for socio-economic and situational variables. Thirdly, EV users choose the car for a significantly larger percentage of their total travel distance than conventional vehicle users. Those observations would suggest a rebound effect, as EVs still consume a considerable amount of energy and contribute to other external effects such as congestion.

Place, publisher, year, edition, pages
Elsevier, 2017
Keywords
Electric vehicle, Mode choice, Rebound effect, Travel behaviour, Trip production, Economics, Electric vehicles, Gas emissions, Greenhouse gases, Investments, Renewable energy resources, Sustainable development, Transportation, Vehicles, Electric Vehicles (EVs), Environmental sustainability, Investment costs, Renewable energy source, Transport systems, Electric automobiles
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-207339 (URN)10.1016/j.trd.2017.02.015 (DOI)000401398400008 ()2-s2.0-85014604647 (Scopus ID)
Note

QC 20170607

Available from: 2017-06-07 Created: 2017-06-07 Last updated: 2018-08-30Bibliographically approved
Bergman, K., Gadda, T., Franklin, J. P. & Kozievitch, N. P. (2017). The relationship between timing of development and bus rapid transit. In: Proceedings of the 3rd ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics, UrbanGIS 2017: . Paper presented at 3rd ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics, UrbanGIS 2017, Redondo Beach, United States, 7 November 2017 through 10 November 2017. Association for Computing Machinery (ACM)
Open this publication in new window or tab >>The relationship between timing of development and bus rapid transit
2017 (English)In: Proceedings of the 3rd ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics, UrbanGIS 2017, Association for Computing Machinery (ACM), 2017Conference paper, Published paper (Refereed)
Abstract [en]

The city of Curitiba in southern Brazil is considered to be the cradle of the Bus Rapid Transit (BRT) system. Curitiba has a population of around 1.9 million people and has a higher development index than Brazil in general. A master plan approved in the middle of the 1960’s has guided the development of the city in a Transit Oriented Development (TOD) direction by zoning for high development densities close to the five BRT trunk lines in so-called structural development in Curitiba.The objective was to examine if the BRT system could have been a motivator for property development, and if so, to what extend. This paper presents a perspective to examine property development: Timing of Development, as the relationship between the number of years after construction of BRT lines buildings were constructed, and the distances of these buildings from the BRT lines. Results from the entire BRT system showed that a greater "time lag" of property development following BRT development also meant that the property in question was located further away from a BRT line, suggesting that areas close to the BRT were popular.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2017
Keywords
BRT, Curitiba, Timing of Development, TOD
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-234515 (URN)10.1145/3152178.3152194 (DOI)2-s2.0-85052022042 (Scopus ID)9781450354950 (ISBN)
Conference
3rd ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics, UrbanGIS 2017, Redondo Beach, United States, 7 November 2017 through 10 November 2017
Note

QC 20180907

Available from: 2018-09-07 Created: 2018-09-07 Last updated: 2018-09-07Bibliographically approved
Westin, J., Franklin, J., Proost, S., Basck, P. & Raux, C. (2016). Achieving political acceptability for new transport infrastructure in congested urban regions. Transportation Research Part A: Policy and Practice, 88, 286-303
Open this publication in new window or tab >>Achieving political acceptability for new transport infrastructure in congested urban regions
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2016 (English)In: Transportation Research Part A: Policy and Practice, ISSN 0965-8564, E-ISSN 1879-2375, Vol. 88, p. 286-303Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Elsevier, 2016
National Category
Transport Systems and Logistics Economics
Identifiers
urn:nbn:se:kth:diva-186114 (URN)10.1016/j.tra.2016.04.009 (DOI)000379359800020 ()2-s2.0-84966716387 (Scopus ID)
Funder
VINNOVA
Note

QC 20160512

Available from: 2016-05-02 Created: 2016-05-02 Last updated: 2017-11-30Bibliographically approved
Ahmad Termida, N., Susilo, Y. & Franklin, J. P. (2016). Examining the effects of out-of-home and in-home constraints on leisure activity participation in different seasons of the year. Transportation, 1-25
Open this publication in new window or tab >>Examining the effects of out-of-home and in-home constraints on leisure activity participation in different seasons of the year
2016 (English)In: Transportation, ISSN 0049-4488, E-ISSN 1572-9435, p. 1-25Article in journal (Refereed) Published
Abstract [en]

Using multi-day, multi-period travel diaries data of 56 days (four waves of two-week diaries) for 67 individuals in Stockholm, this study aims to examine the effects of out-of-home and in-home constraints (e.g. teleworking, studying at home, doing the laundry, cleaning and taking care of other household member[s]) on individuals’ day-to-day leisure activity participation decisions in four different seasons. This study also aims to explore the effects of various types of working schedules (fixed, shift, partial- and full-flexible) on individuals’ decisions to participate in day-to-day leisure activities. A pooled model (56 days) and wave-specific models (14 days in each wave) are estimated by using dynamic ordered Probit models. The effects of various types of working schedules are estimated by using 28 days of two waves’ data. The results show that an individual’s leisure activity participation decision is significantly influenced by out-of-home work durations but not influenced by in-home constraints, regardless of any seasons. Individuals with shift working hours engage less in day-to-day leisure activities than other workers’ types in both spring and summer seasons. The thermal indicator significantly affects individuals’ leisure activity participation decisions during the autumn season. Individuals exhibit routine behaviour characterized by repeated decisions in participating in day-to-day leisure activities that can last up to 14 days, regardless of any seasons.

Place, publisher, year, edition, pages
Springer-Verlag New York, 2016
Keywords
Dynamic ordered Probit model, Leisure activity participation, Panel data, Seasons, Space-time constraints, Stockholm, Transportation, Leisure activities, Ordered probit model, Time constraints, Civil engineering
National Category
Transport Systems and Logistics Economics Occupational Health and Environmental Health
Identifiers
urn:nbn:se:kth:diva-195970 (URN)10.1007/s11116-016-9717-3 (DOI)000389833900004 ()2-s2.0-84975478169 (Scopus ID)
Note

QC 20161111

Available from: 2016-11-11 Created: 2016-11-10 Last updated: 2018-01-13Bibliographically approved
Ahmad Termida, N., Susilo, Y. O. & Franklin, J. P. (2016). Observing dynamic behavioural responses due to the extension of a tram line by using panel survey. Transportation Research Part A: Policy and Practice, 86, 78-95
Open this publication in new window or tab >>Observing dynamic behavioural responses due to the extension of a tram line by using panel survey
2016 (English)In: Transportation Research Part A: Policy and Practice, ISSN 0965-8564, E-ISSN 1879-2375, Vol. 86, p. 78-95Article in journal (Refereed) Published
Abstract [en]

Using a four-wave panel survey of individuals' trips and psychological attributes collected among residents along a new tram line extension in the city of Stockholm, Sweden, this study aims to investigate factors that determine the individuals' learning and decision-making processes in using a new transport option. This includes investigating which group of travellers have used the new tram extension earlier than others, and integrated the tram extension as a part of their daily travel patterns. This paper also describes the design and construction of the four-wave panel data collection, which was collected from two weeks before and up to seven months after the opening of the new option. Descriptive analysis shows that within a seven-month period, 79% of the respondents tried the new tram extension but only 14.9% of them adopted the new option as their daily travel mode. During the observed period, about 49.3% of the respondents migrated between travel modes for non-discretionary trips. Further multivariate analysis shows that middle-income travellers and travellers who owned car(s) used the new tram extension earlier than others. The effect of past experience on the current use of the tram extension on a day-to-day basis was also examined by using a mixed logit model with panel data. The purpose of the model is to examine whether individuals' daily experiences with the new tram extension that result from repeated previous choices would affect their decisions to maintain using the new option in subsequent waves.

Place, publisher, year, edition, pages
Elsevier, 2016
Keywords
Four-wave panel survey, Individual learning processes, New tram service, Sweden, Time-scale responses
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-187198 (URN)10.1016/j.tra.2016.02.005 (DOI)000374354800005 ()2-s2.0-84959364517 (Scopus ID)
Note

QC 20160518

Available from: 2016-05-18 Created: 2016-05-18 Last updated: 2017-11-30Bibliographically approved
Langbroek, J., Franklin, J. & Susilo, Y. (2016). The effect of policy incentives on electric vehicle adoption. Energy Policy, 94, 94-103
Open this publication in new window or tab >>The effect of policy incentives on electric vehicle adoption
2016 (English)In: Energy Policy, ISSN 0301-4215, E-ISSN 1873-6777, Vol. 94, p. 94-103Article in journal (Refereed) Published
Abstract [en]

In order to increase the attractiveness of electric vehicles (EVs), packages of policy incentives are provided in many countries. However, it is still unclear how effective different policy incentives are. Also, it is questionable that they have the same impact on different groups of people. In this study, based on a stated-choice experiment, the effect of several potential policy incentives on EV-adoption, as well as the influence of socio-psychological determinants are investigated, using constructs of the Transtheoretical Model of Change (TTM) and the Protection Motivation Theory (PMT). The probability of stated EV-adoption increases if policy incentives are offered in the choice experiment, which is expected because of the decrease of the generalized cost of EV-use. The high stated valuation of free parking or access to bus lanes makes those incentives an efficient alternative to expensive subsidies. EV-adoption probability increases for people that are further in the process of behavioural change. However, the responsiveness to subsidies decreases for people in more advanced stages of-change. People that believe EVs to be effective in decreasing the negative externalities of the current transport system and people whose travel patterns can cope with the use of EVs also have a higher probability to choose the EV. (C) 2016 Elsevier Ltd. All rights reserved.

Place, publisher, year, edition, pages
Elsevier, 2016
Keywords
Electric vehicle adoption, Policy incentives, stated-choice, Transtheoretical Model of Change, Protection Motivation Theory
National Category
Transport Systems and Logistics Energy Systems
Research subject
Transport Science
Identifiers
urn:nbn:se:kth:diva-186115 (URN)10.1016/j.enpol.2016.03.050 (DOI)000377725000012 ()2-s2.0-84962850124 (Scopus ID)
Funder
Swedish Energy Agency, 37054-1
Note

QC 20160516

Available from: 2016-05-02 Created: 2016-05-02 Last updated: 2018-08-29Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-1360-4906

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