Vol 17 No 3 (2017)
2017-06-01
Vol 17 No 3 (2017)
2017-06-01
Articles
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This special issue collects six papers that were presented at the 2015 IATBR conference, which took place in Windsor, UK. It also includes a resource paper from one of the conference workshops. All regular papers were selected by the guest editors and subsequently peerreviewed in line with the European Journal of Transport and Infrastructure Research standards. Ultimately, 60% of submitted papers were accepted for publication.
This special issue collects six papers that were presented at the 2015 IATBR conference, which took place in Windsor, UK. It also includes a resource paper from one of the conference workshops. All regular papers were selected by the guest editors and subsequently peerreviewed in line with the European Journal of Transport and Infrastructure Research standards. Ultimately, 60% of submitted papers were accepted for publication.
This special issue collects six papers that were presented at the 2015 IATBR conference, which took place in Windsor, UK. It also includes a resource paper from one of the conference workshops. All regular papers were selected by the guest editors and subsequently peerreviewed in line with the...
Chiara Calastri, Stephane Hess, Aruna Sivakumar -
This paper studies electric vehicle (EV) adoption in Greater Stockholm in Sweden using the Transtheoretical Model of Change (TTM) and the Protection Motivation Theory as a framework and considers socio-cognitive, behavioural and socio-economic attributes that may influence the process towards electric vehicle use. TTM considers behavioural change as a process consisting of five stages-of-change rather than as an event. Some key findings were made: (1) from the earlier to the later stages-of-change, the attitude towards EVs becomes more positive, the knowledge about EVs increases and the self-efficacy is consistently increasing. (2) The threat appraisal and response efficacy of EVs increase from stage to stage in the stages prior to the actual change but have a lower level for the stages after the change. (3) The explanatory power of regression models modelling both pre-contemplation and all stages-of-change increases significantly when incorporating socio-cognitive variables such as self-efficacy, threat-appraisal, response efficacy and attitudes towards EVs. (4) The modal share of the car is consistently increasing throughout the stages-of-change. The results indicate that policy measures aiming at increasing knowledge and self-efficacy of car drivers related to EV use can stimulate electric vehicle adoption. Also, the relative advantages of EVs for car drivers should get more attention rather than only emphasizing the environmental advantages.
This paper studies electric vehicle (EV) adoption in Greater Stockholm in Sweden using the Transtheoretical Model of Change (TTM) and the Protection Motivation Theory as a framework and considers socio-cognitive, behavioural and socio-economic attributes that may influence the process towards electric vehicle use. TTM considers behavioural change as a process consisting of five stages-of-change rather than as an event. Some key findings were made: (1) from the earlier to the later stages-of-change, the attitude towards EVs becomes more positive, the knowledge about EVs increases and the self-efficacy is consistently increasing. (2) The threat appraisal and response efficacy of EVs increase from stage to stage in the stages prior to the actual change but have a lower level for the stages after the change. (3) The explanatory power of regression models modelling both pre-contemplation and all stages-of-change increases significantly when incorporating socio-cognitive variables such...
This paper studies electric vehicle (EV) adoption in Greater Stockholm in Sweden using the Transtheoretical Model of Change (TTM) and the Protection Motivation Theory as a framework and considers socio-cognitive, behavioural and socio-economic attributes that may influence the process towards...
Joram H. Langbroek, Joel P. Franklin, Yusak O. Susilo -
The German government seeks to increase the number of electric vehicles (EV) in the German car fleet to one million by 2020. Since some characteristics of EVs differ from conventional cars, there is an increasing need to assess the various impacts of a growing EV fleet. In this work, we have focused on possible effects related to the field of transport. We identified three important aspects and evaluated them over a period of one week using the microscopic travel demand model mobiTopp. First, we modelled the potential EV user groups of the near future by developing an EV user model; this model considers both interest in EVs and suitability for EV usage. Second, we simulated the travel behaviour of EV users; we used an EV usage model to consider the restrictions of EVs in choice decisions and also compared the usage behaviour of EV and conventional cars users. Third, we analysed the power consumption of the simulated EVs and evaluated the load peaks based on the simulated travel patterns. Our results indicate that a growing EV fleet implies a more heterogeneous distribution of EVs among car owners. They also indicate that the trip chain length of battery electric vehicles (BEVs) is much lower than that of extended range electric vehicles (EREVs) and conventional cars on average.
The German government seeks to increase the number of electric vehicles (EV) in the German car fleet to one million by 2020. Since some characteristics of EVs differ from conventional cars, there is an increasing need to assess the various impacts of a growing EV fleet. In this work, we have focused on possible effects related to the field of transport. We identified three important aspects and evaluated them over a period of one week using the microscopic travel demand model mobiTopp. First, we modelled the potential EV user groups of the near future by developing an EV user model; this model considers both interest in EVs and suitability for EV usage. Second, we simulated the travel behaviour of EV users; we used an EV usage model to consider the restrictions of EVs in choice decisions and also compared the usage behaviour of EV and conventional cars users. Third, we analysed the power consumption of the simulated EVs and evaluated the load peaks based on the simulated travel...
The German government seeks to increase the number of electric vehicles (EV) in the German car fleet to one million by 2020. Since some characteristics of EVs differ from conventional cars, there is an increasing need to assess the various impacts of a growing EV fleet. In this work, we have...
Christine Weiss, Michael Heilig, Nicolai Mallig, Bastian Chlond, Thomas Franke, Tina Schneidereit, Peter Vortisch -
Over the years, there has been an increase in the focus on driving behaviour as a solution to minimize the road transportation high levels of energy consumption, as well as the emission of pollutants. The aim of this study was to analyse the impacts of real-time feedback on the driving behaviour of bus drivers, and to assess the potential impact of the characteristics of these subjects (age and time working at the company) on such behaviour. Data was collected with an on-board device installed in buses of a Portuguese urban transport operator. Three monitoring periods were considered: an initial phase, in which real-time feedback was given to drivers (phase 1), followed by a period of no feedback (phase 2), and then a final stage in which feedback was resumed (phase 3). A repeated measures analysis of variance was performed to assess the impacts of feedback in several driving indicators across the aforementioned phases. The results revealed that bus drivers accrue benefits from the feedback received, with significant differences between the three monitoring periods for all driving indicators analysed. After suspending the feedback, increases between 6% and 55% of the incidence of undesired driving indicators were observed, mainly in extreme brakes, extreme accelerations, excess RPM, and hard stops. Such insights can provide bus operators with new tools to develop programs promoting efficient driving behaviours.
Over the years, there has been an increase in the focus on driving behaviour as a solution to minimize the road transportation high levels of energy consumption, as well as the emission of pollutants. The aim of this study was to analyse the impacts of real-time feedback on the driving behaviour of bus drivers, and to assess the potential impact of the characteristics of these subjects (age and time working at the company) on such behaviour. Data was collected with an on-board device installed in buses of a Portuguese urban transport operator. Three monitoring periods were considered: an initial phase, in which real-time feedback was given to drivers (phase 1), followed by a period of no feedback (phase 2), and then a final stage in which feedback was resumed (phase 3). A repeated measures analysis of variance was performed to assess the impacts of feedback in several driving indicators across the aforementioned phases. The results revealed that bus drivers accrue benefits from...
Over the years, there has been an increase in the focus on driving behaviour as a solution to minimize the road transportation high levels of energy consumption, as well as the emission of pollutants. The aim of this study was to analyse the impacts of real-time feedback on the driving...
Catarina Rolim, Patrícia Baptista, Gonçalo Duarte, Tiago Farias, João Pereira -
This paper empirically investigates the causes for transit use cessation, focusing on the influence of users’ personal experiences, resulting levels of satisfaction, and subsequent behavioral intentions. It builds on a novel data set in which observed, objective measures of travel times are mapped to smartphone-based surveys where participants assess their travel experience. An integrated choice and latent variable model is developed to explain the influence of satisfaction with operations (travel times) and satisfaction with the travel environment (e.g., crowding) on behavioral intentions. Satisfaction is modeled as a latent variable, and the choice consists of participants’ stated desire and intention to continue using public transportation. The results show how delays, in particular in-vehicle delays but also transfer times and being left behind at stops, contribute to passengers’ intentions to cease transit use. Furthermore, a number of critical incidents, i.e., particularly memorable negative experiences, are found to have negative and significant effects on overall satisfaction and on willingness to continue using public transportation. The usefulness of the framework is demonstrated in a set of simulations in which the effect of three types of delays on passengers’ willingness to remain transit riders is modeled. This work highlights the value and potential of using new data collection methods to gain insights on complex behavioral processes, and it is intended to form the basis for new modeling tools to understand the causes of transit use cessation and the impact of various strategies and service quality improvements to reduce ridership turnover
This paper empirically investigates the causes for transit use cessation, focusing on the influence of users’ personal experiences, resulting levels of satisfaction, and subsequent behavioral intentions. It builds on a novel data set in which observed, objective measures of travel times are mapped to smartphone-based surveys where participants assess their travel experience. An integrated choice and latent variable model is developed to explain the influence of satisfaction with operations (travel times) and satisfaction with the travel environment (e.g., crowding) on behavioral intentions. Satisfaction is modeled as a latent variable, and the choice consists of participants’ stated desire and intention to continue using public transportation. The results show how delays, in particular in-vehicle delays but also transfer times and being left behind at stops, contribute to passengers’ intentions to cease transit use. Furthermore, a number of critical incidents, i.e.,...
This paper empirically investigates the causes for transit use cessation, focusing on the influence of users’ personal experiences, resulting levels of satisfaction, and subsequent behavioral intentions. It builds on a novel data set in which observed, objective measures of travel times are...
Andre Carrel, Joan L. Walker -
This study investigates how different travel satisfaction survey methods influence the reported level of door-to-door travel satisfaction among travellers. 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. Each of the measurement tools comprised of a similar set of questions, but in different formats, aimed at exploring the pros and cons of each tool among different group of travellers. In total, 5,275 valid responses were collected during the survey period from eight European cities and five FIA (Federation Internationale de I’Automobile) national motorist networks. The analysis results, with ordered logit model of travellers’ reported overall satisfaction, showed that the travel satisfaction reported by different survey methods and different travel modes and user groups, correlated with distinct groups of key determinants. The relationship between and within these key determinants, however, was far from straight forward. Some were more complex than others. Some issues, such as parking availability and security, that are mostly discussed by policy makers and users may not be the ones that directly correlate with the users’ overall travel satisfactions. Consistent with previous studies, the travellers’ mood and previous experience influenced the reported overall journey satisfaction.
This study investigates how different travel satisfaction survey methods influence the reported level of door-to-door travel satisfaction among travellers. 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. Each of the measurement tools comprised of a similar set of questions, but in different formats, aimed at exploring the pros and cons of each tool among different group of travellers. In total, 5,275 valid responses were collected during the survey period from eight European cities and five FIA (Federation Internationale de I’Automobile) national motorist networks. The analysis results, with ordered logit model of travellers’ reported overall satisfaction, showed that the travel satisfaction reported by different survey methods and different travel modes and user groups, correlated with...
This study investigates how different travel satisfaction survey methods influence the reported level of door-to-door travel satisfaction among travellers. The travel satisfaction measurement survey tools tested consisted of two types of smartphone applications (a satellite navigation app and...
Yusak O. Susilo, Roberto Abenoza, Andree Woodcock, Fotis Liotopoulos, Andre Duarte, Jane Osmond, Apostolos Georgiadis, Gabriela Rodica Hrin, Patricia Bellver, Federico Fornari, Virginie Tolio, Eileen O’Connell, Ieva Markucevičiūtė, Marco Diana -
Because of the decline of physical abilities of the elderly, their mobility is more vulnerable to topographical factors than younger population groups. However, topographical factors have been neglected in studies on travel behavior, and elderly people’s heterogeneous responses to topographical factors remain unknown. To fill this research gap, this study focuses on a hilly neighborhood called Koyo Newtown in Hiroshima City, Japan, where a multi-period (two waves) and multi-day (two weeks) panel survey was conducted in 2010 and 2011. The survey consisted of a GPS survey and a paper-based travel diary survey. In addition, a travel mode choice model is developed based on a panel mixed logit model. Heterogeneities are captured by introducing random effects to parameters of topographical factors, which are measured in terms of altitude difference, intensity of up/down movement, maximum slope, and changing slope. Furthermore, effects of introducing personal mobility vehicles (PM) to mitigate negative impacts of topographical factors are also evaluated. As a result, it is found that the altitude difference and maximum slope factors have significant impacts on mode choice decisions. The effectiveness of PM to support the mobility of elderly residents is also confirmed.
Because of the decline of physical abilities of the elderly, their mobility is more vulnerable to topographical factors than younger population groups. However, topographical factors have been neglected in studies on travel behavior, and elderly people’s heterogeneous responses to topographical factors remain unknown. To fill this research gap, this study focuses on a hilly neighborhood called Koyo Newtown in Hiroshima City, Japan, where a multi-period (two waves) and multi-day (two weeks) panel survey was conducted in 2010 and 2011. The survey consisted of a GPS survey and a paper-based travel diary survey. In addition, a travel mode choice model is developed based on a panel mixed logit model. Heterogeneities are captured by introducing random effects to parameters of topographical factors, which are measured in terms of altitude difference, intensity of up/down movement, maximum slope, and changing slope. Furthermore, effects of introducing personal mobility vehicles (PM) to...
Because of the decline of physical abilities of the elderly, their mobility is more vulnerable to topographical factors than younger population groups. However, topographical factors have been neglected in studies on travel behavior, and elderly people’s heterogeneous responses to...
Thi Anh Hong Nguyen, Makoto Chikaraishi, Hajime Seya, Akimasa Fujiwara, Junyi Zhang -
There is a rapid growth of bicycle-sharing systems (BSS) around the world. Cities are supporting these systems as a more sustainable transport mode for short trips. Given the relatively recent adoption of BSS, there is substantial interest in understanding how these systems impact urban transportation. In this paper, we examine the functioning of the hugely successful New York City CitiBike system. We focus on the interaction of BSS with land-use and built environment attributes and the influence of weather condition and temporal characteristics on BSS usage. Towards this end, CitiBike system is analyzed along two dimensions: (1) at the system level, we examine the hourly station level arrival and departure rates using a linear mixed model and (2) at the trip level, we investigate users’ destination station choice preferences after they pick up a bicycle from a station employing a random utility maximization approach. The results highlight clear spatial and temporal differences in the usage of CitiBike by users with annual membership and users with temporary passes. Overall, our analysis provides a framework and useful insights for cities that are planning to install a new bicycle sharing system or to expand an existing system
There is a rapid growth of bicycle-sharing systems (BSS) around the world. Cities are supporting these systems as a more sustainable transport mode for short trips. Given the relatively recent adoption of BSS, there is substantial interest in understanding how these systems impact urban transportation. In this paper, we examine the functioning of the hugely successful New York City CitiBike system. We focus on the interaction of BSS with land-use and built environment attributes and the influence of weather condition and temporal characteristics on BSS usage. Towards this end, CitiBike system is analyzed along two dimensions: (1) at the system level, we examine the hourly station level arrival and departure rates using a linear mixed model and (2) at the trip level, we investigate users’ destination station choice preferences after they pick up a bicycle from a station employing a random utility maximization approach. The results highlight clear spatial and temporal differences...
There is a rapid growth of bicycle-sharing systems (BSS) around the world. Cities are supporting these systems as a more sustainable transport mode for short trips. Given the relatively recent adoption of BSS, there is substantial interest in understanding how these systems impact urban...
Ahmadreza Faghih-Imani, Naveen Eluru, Rajesh Paleti