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Prelipcean, A. C., Gidofalvi, G. & Susilo, Y. (2018). MEILI: A travel diary collection, annotation and automation system. Computers, Environment and Urban Systems, 70(July 2018), 24-34
Open this publication in new window or tab >>MEILI: A travel diary collection, annotation and automation system
2018 (English)In: Computers, Environment and Urban Systems, ISSN 0198-9715, E-ISSN 1873-7587, Vol. 70, no July 2018, p. 24-34Article in journal (Refereed) Published
Abstract [en]

The increased interest in the automation of travel diary collection, together with the ease of access to new artificial intelligence methods led scientists to explore the prerequisites to the automatic generation of travel diaries. One of the most promising methods for this automation relies on collecting GPS traces of multiple users over a period of time, followed by asking the users to annotate their collected data by specifying the base entities for a travel diary, i.e., trips and triplegs. This led scientist on one of two paths: either develop an in-house solution for data collection and annotation, which is usually an undocumented prototype implementation limited to few users, or contract an external provider for the development, which results in additional costs. This paper provides a third path: an open-source highly modular system for the collection and annotation of travel diaries of multiple users, named MEILI. The paper discusses the architecture of MEILI with an emphasis on the data model, which allows scientists to implement and evaluate their methods of choice for the detection of the following entities: trip start/end, trip destination, trip purpose, tripleg start/end, and tripleg mode. Furthermore, the open source nature of MEILI allows scientists to modify the MEILI solution in compliance with their legal and ethical specifications. MEILI was successfully trialed in multiple case studies in Stockholm and Gothenburg, Sweden between 2014 and 2017.

Keywords
Travel diaries, Destinations purpose and travel mode inferences, Travel diary collection system, Open source, System design and architecture
National Category
Transport Systems and Logistics
Research subject
Transport Science; Geodesy and Geoinformatics; Computer Science
Identifiers
urn:nbn:se:kth:diva-227250 (URN)10.1016/j.compenvurbsys.2018.01.011 (DOI)000436887900003 ()2-s2.0-85041358233 (Scopus ID)
Funder
Swedish Transport Administration, TRV 2014/10422
Note

QC 20180605

Available from: 2018-05-04 Created: 2018-05-04 Last updated: 2018-07-18Bibliographically approved
Chengxi, L., Sun, Y., Chen, Y. & Susilo, Y. (2018). The effect of residential housing policy on car ownership and trip chaining behaviour in Hangzhou, China. Transportation Research Part D: Transport and Environment, 62, 125-138
Open this publication in new window or tab >>The effect of residential housing policy on car ownership and trip chaining behaviour in Hangzhou, China
2018 (English)In: Transportation Research Part D: Transport and Environment, ISSN 1361-9209, E-ISSN 1879-2340, Vol. 62, p. 125-138Article in journal (Refereed) Published
Abstract [en]

China has recently initialised affordable housing policies to provide low rent housings for medium and low income households aiming to satisfy the growing demand in the housing market. The travel behaviour of residents in these two different types of housing is likely to differ, since public housing tenants have a limited choice of residential location, as the location of low-rent housing is fixed, while residents in commodity housing are able to take their travel patterns into account in choosing their housing location. Therefore, this paper investigates the differences in car ownership and trip chaining behaviour arising from living in different types of residential housing. The self-selection bias caused by the differences in the observed individual and household characteristics is partially controlled by a propensity score matching approach. The study further considers the endogenous effect of car ownership on travel chaining behaviour, thus controlling for the self-selection bias at car ownership level. The results show that residents in private commodity housing are more likely to own a car than those in low-rent housing with similar individual and household characteristics. Different life cycle stages play a vital role in car ownership after self-selection in residential housing has been taken into account. Living in private commodity housing has a direct negative effect on trip chaining complexity, after controlling for endogenous car ownership, although this effect is offset by the tendency for private commodity housing owners to do complex trip chaining because they have one or more cars.

Place, publisher, year, edition, pages
Elsevier, 2018
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-227525 (URN)10.1016/j.trd.2018.02.008 (DOI)000443791700011 ()2-s2.0-85042466974 (Scopus ID)
Note

QC 20180518

Available from: 2018-05-18 Created: 2018-05-18 Last updated: 2018-09-28Bibliographically 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
Susilo, Y. (2017). Bounded Rational Choice Behaviour [Review]. Journal of Transport Geography, 62, 265-266
Open this publication in new window or tab >>Bounded Rational Choice Behaviour
2017 (English)In: Journal of Transport Geography, ISSN 0966-6923, E-ISSN 1873-1236, Vol. 62, p. 265-266Article, book review (Other academic) Published
Place, publisher, year, edition, pages
ELSEVIER SCI LTD, 2017
National Category
Civil Engineering
Identifiers
urn:nbn:se:kth:diva-215846 (URN)10.1016/j.jtrangeo.2017.06.008 (DOI)000412037500025 ()
Note

QC 20171017

Available from: 2017-10-17 Created: 2017-10-17 Last updated: 2017-10-17Bibliographically approved
Susilo, Y., Woodcock, A., Liotopoulos, F., Duarte, A., Osmond, J., Abenoza, R., . . . Pirra, M. (2017). Deploying traditional and smartphone app survey methods in measuring door-to-door travel satisfaction in eight European cities. In: Ulengin, F Li, K Boltze, M (Ed.), WORLD CONFERENCE ON TRANSPORT RESEARCH - WCTR 2016: . Paper presented at 14th World Conference on Transport Research (WCTR), JUL 10-15, 2016, Tongji Univ Shanghai, Shanghai, PEOPLES R CHINA (pp. 2262-2280).
Open this publication in new window or tab >>Deploying traditional and smartphone app survey methods in measuring door-to-door travel satisfaction in eight European cities
Show others...
2017 (English)In: WORLD CONFERENCE ON TRANSPORT RESEARCH - WCTR 2016 / [ed] Ulengin, F Li, K Boltze, M, 2017, p. 2262-2280Conference paper, Published paper (Refereed)
Abstract [en]

This study describes the lessons learned from designing, deploying and analysing the results from different travel satisfaction survey tools which measures the travellers' door-to-door travel satisfaction. The travel satisfaction measurement survey tools tested consisted of two types of smartphone applications (a satellite navigation app and a game app), an on-line survey, a paper based semi-structured questionnaire and a focus group questionnaire. Each of the measurement tools comprised the same set of basic questions, but in different formats, aimed at exploring the pros and cons of each tool among different groups of travellers. The data collection was carried out at eight different European cities and five FIA motorist networks. 5,275 valid responses were gathered from the survey. Further analysis results show that different survey methods performed better in different sites. The satisfaction that was gathered via main trip leg does not necessarily correspond with overall satisfaction of the door-to-door journey. The results of this study highlight the need for more inclusive, complete, door-to-door, travel survey measurements.

Series
Transportation Research Procedia, ISSN 2352-1465 ; 25
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-211763 (URN)10.1016/j.trpro.2017.05.434 (DOI)000404963802026 ()2-s2.0-85019397791 (Scopus ID)
Conference
14th World Conference on Transport Research (WCTR), JUL 10-15, 2016, Tongji Univ Shanghai, Shanghai, PEOPLES R CHINA
Note

QC 20170811

Available from: 2017-08-11 Created: 2017-08-11 Last updated: 2017-08-11Bibliographically 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
Joewono, T. B. & Susilo, Y. O. (2017). Traffic violations by young motorcyclists on Indonesian urban roads. JOURNAL OF TRANSPORTATION SAFETY & SECURITY, 9, 236-261
Open this publication in new window or tab >>Traffic violations by young motorcyclists on Indonesian urban roads
2017 (English)In: JOURNAL OF TRANSPORTATION SAFETY & SECURITY, ISSN 1943-9962, Vol. 9, p. 236-261Article in journal (Refereed) Published
Abstract [en]

It is already understood that road users have differences in capability and limitations in driving their cars and motorcycles. Most studies regarding variability and safety concerns related to road users' driving behaviors, however, are based on data from developed countries. It is argued that there are differences in characteristics and consequences of road accidents in developed and developing cities due to the impacts of the different composition of traffic, road users' attitudes and driving behaviors, vehicle type and size, regulations, and types of violations. This study aims to investigate the factors underlying traffic violation behaviors and the types of traffic violations committed by young motorcyclists on urban roads in Indonesia. Data were gathered using a questionnaire survey in three major cities. Structural equation modelling was performed to analyze the significant factors influencing young motorcyclists with regard to committing traffic violations, including analysis of the causal relationship between the influencing factors, the characteristics of young motorcyclists, and the types of violations. The analyses found that young motorcyclists were influenced by different magnitudes of influencing factors in violating traffic regulations compared to more mature motorcyclists. This highlights the need to design a specialized behavioral change policy to reduce traffic violations among young motorcyclists.

Place, publisher, year, edition, pages
Taylor & Francis, 2017
Keywords
motorcyclist, young people, traffic violations, urban roads, road accidents, road safety, Indonesia
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-208287 (URN)10.1080/19439962.2016.1247123 (DOI)000399621600014 ()2-s2.0-85014973522 (Scopus ID)
Note

QC 20170607

Available from: 2017-06-07 Created: 2017-06-07 Last updated: 2017-06-30Bibliographically approved
Liu, C., Susilo, Y. & Karlström, A. (2017). Weather variability and travel behaviour - what we know and what we do not know. Transport reviews, 37(6), 715-741
Open this publication in new window or tab >>Weather variability and travel behaviour - what we know and what we do not know
2017 (English)In: Transport reviews, ISSN 0144-1647, E-ISSN 1464-5327, Vol. 37, no 6, p. 715-741Article in journal (Refereed) Published
Abstract [en]

Given that severe weather conditions are becoming more frequent, it is important to understand the influence of weather on an individual's daily activity-travel pattern. While some previously rare events are becoming more common, such as heavy rain, unpredicted snow, higher temperatures, it is still largely unknown how individuals will change and adapt their travel patterns in future climate conditions. Because of this concern, the number of research studies on weather and travel behaviour has increased in recent decades. Most of these empirical studies, however, have not used a cost-benefit analysis (CBA) framework, which serves as the the main tool for policy evaluation and project selection by stakeholders. This study summarises the existing findings regarding relationships between weather variability and travel behaviour, and critically assesses the methodological issues in these studies. Several further research directions are suggested to bridge the gap between empirical evidence and current practices in CBA.

Place, publisher, year, edition, pages
TAYLOR & FRANCIS LTD, 2017
Keywords
Weather, travel behaviour, large-scale transport model, transport policy, cost-benefit analysis
National Category
Climate Research
Identifiers
urn:nbn:se:kth:diva-222220 (URN)10.1080/01441647.2017.1293188 (DOI)000422941000006 ()2-s2.0-85013439262 (Scopus ID)
Note

QC 20180205

Available from: 2018-02-05 Created: 2018-02-05 Last updated: 2018-02-05Bibliographically approved
Dharmowijoyo, D. B. E., Susilo, Y. O. & Karlström, A. (2016). Day-to-day variability in travellers' activity-travel patterns in the Jakarta metropolitan area. Transportation, 43(4), 601-621
Open this publication in new window or tab >>Day-to-day variability in travellers' activity-travel patterns in the Jakarta metropolitan area
2016 (English)In: Transportation, ISSN 0049-4488, E-ISSN 1572-9435, Vol. 43, no 4, p. 601-621Article in journal (Refereed) Published
Abstract [en]

Using four consecutive days of SITRAMP 2004 data from the Jakarta metropolitan area (JMA), Indonesia, this study examines the interactions between individuals’ activity-travel parameters, given the variability in their daily constraints, resources, land use and road network conditions. While there have been a significant number of studies into day-to-day variability in travel behaviour in developed countries, this issue is rarely examined in developing countries. The results show that some activity-travel parameter interactions are similar to those produced by travellers from developed countries, while others differ. Household and individual characteristics are the most significant variables influencing the interactions between activity-travel parameters. Different groups of travellers exhibit different trade-off mechanisms. Further analyses of the stability of activity-travel patterns across different days are also provided. Daily commuting time and regular work and study commitments heavily shape workers’ and students’ flexibility in arranging their travel time and out-of-home time budget, leading to more stable daily activity-travel patterns than non-workers.

Place, publisher, year, edition, pages
Springer Science+Business Media B.V., 2016
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-179119 (URN)10.1007/s11116-015-9591-4 (DOI)000379028700002 ()2-s2.0-84925250842 (Scopus ID)
Note

QC 201512

Available from: 2015-12-10 Created: 2015-12-10 Last updated: 2017-12-01Bibliographically approved
Chengxi, L., Susilo, Y. O. & Karlström, A. (2016). Estimating changes in transport CO2 emissions due to changes in weather and climate in Sweden. Transportation Research Part D: Transport and Environment, 49, 172-187
Open this publication in new window or tab >>Estimating changes in transport CO2 emissions due to changes in weather and climate in Sweden
2016 (English)In: Transportation Research Part D: Transport and Environment, ISSN 1361-9209, E-ISSN 1879-2340, Vol. 49, p. 172-187Article in journal (Refereed) Published
Abstract [en]

There is a considerable body of studies on the relationship between daily transport activities and CO2 emissions. However, how these emissions vary in different weather conditions within and between the seasons of the year is largely unknown. Because individual activity–travel patterns are not static but vary in different weather conditions, it is immensely important to understand how CO2 emissions vary due to the change of weather. Using Swedish National Travel Survey data, with emission factors calculated through the European emission factor model ARTEMIS, this study is a first attempt to derive the amount of CO2 emission changes subject to the change of weather conditions. A series of econometric models was used to model travel behaviour variables that are crucial for influencing individual CO2 emissions. The marginal effects of weather variables on travel behaviour variables were derived. The results show an increase of individual CO2 emissions in a warmer climate and in more extreme temperature conditions, whereas increasing precipitation amounts and snow depths show limited effects on individual CO2 emissions. It is worth noting that the change in CO2 emissions in the scenario of a warmer climate and a more extreme temperature tends to be greater than the sum of changes in CO2 emissions in each individual scenario. Given that a warmer climate and more extreme weather could co-occur more frequently in the future, this result suggests even greater individual CO2 emissions than expected in such a future climate.

Keywords
CO2 emission, Emission factor, Weather and climate, Climate change, Meteorology, Transportation, Econometric model, Emission factor model, Emission factors, Extreme temperatures, Marginal effects, National travel surveys, Transport activity, Travel behaviour, Carbon dioxide
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-195190 (URN)10.1016/j.trd.2016.09.004 (DOI)000389390600013 ()2-s2.0-84988473735 (Scopus ID)
Note

QC 21061202

Available from: 2016-12-02 Created: 2016-11-02 Last updated: 2017-11-29Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-7124-7164

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