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Il ruolo degli strumenti di informazione e di segnalamento nella pianificazione dei sistemi di trasporto
No full textUsing a GPS Active Logger to Implement Travel Behaviour Change Programs
No full textImplementing behavioural strategies aimed at reducing car use represents one of the most topical challenges for current transport research. Most of the current voluntary travel behaviour change (VTBC) programs are moving towards ICT devices for data collection. The advantages of using ICT have been recognized for implementing behavioural strategies and VTBC, in order to improve observation of pre- and post-implementation behaviour. This paper describes the implications of a personal active logger (AL) implemented by CRiMM (University of Cagliari, Italy) for the collection of individual activity-travel patterns before and after a VTBC implementation. In particular, VTBC data collected through an active tracking system (GPS tracking + real time activity diary completion) are compared with data collected using a hybrid tracking system (GPS-only system + deferred activity-travel patterns). The results show that, despite the greater effort involved in real time compilation, the information collected by the active logger is more in line with VTBC requirements and expectations
Activity-based analysis in the context of a soft measure implementation
No full textActivity-based analyses, which in the transportation sector investigate decision making
processes, activity-travel behaviour and individual/household daily life styles (Mc Nally,
2000), seem to offer the appropriate support for soft measures, named also Voluntary
Travel Behaviour Change programmes, aimed at reducing people’s need to use private
cars. The objective of this work is to contribute to understanding the effects of soft
measure implementation in relation to activity-travel patterns. Using an activity-based
approach (Bhat and Koppelman, 1999), and in particular an analysis of tours, in
conjunction with individual and household characteristics, an exploratory analysis is
conducted to examine the factors likely to be involved in the propensity to use a
sustainable mode of transport, in the context of a Voluntary Travel Behaviour Change
programme. The data used in the analysis have been drawn from a soft measure
implemented in Cagliari (Italy) between 2011 and 2012, for promoting the use of an
underutilised Light Rail service (LR), for the purpose of reducing the distance travelled by
car along the corridor where the LR runs
Individual Persuasive Eco-Travel Technology, a mobile persuasive application for implementing voluntary travel behaviour change programmes
No full textThis study presents a voluntary travel behaviour change (VTBC) programme that involves the use of a
technology platform. The platform has been developed both for enhancing the efficacy of the implementation and for
highlighting the contribution that technology itself can provide in persuasion strategies. It can be applied in the VTBC
implementation for encouraging individuals to reduce car use, mitigating global greenhouse gas emissions. In
particular, the proposed platform is designed to automate phases and activities of a VTBC programme, with a view to
extending it to the large scale, reducing the resource commitment. Indeed, technology could contribute to facilitating
the operational and functional aspects, through the implementation of automated VTBC programmes, broadening their
applicability while maintaining effectiveness. Furthermore, technology can be persuasive in changing behaviour
Using A Gps Active Logger To Implement Travel Behavior Change Programs.
No full textImplementing behavioural strategies aimed at reducing car use represents one of the most
topical challenges for current transport research.
Most of the current voluntary travel behaviour change (VTBC) programs are moving towards ICT devices for data collection. The advantages of using ICT have been recognized for implementing behavioural strategies and VTBC, in order to improve observation of pre- and post-implementation behaviour. This paper describes the implications of a personal active logger (AL) implemented by
CRiMM (University of Cagliari, Italy) for the collection of individual activity-travel patterns before and after a VTBC implementation. In particular, VTBC data collected through an active tracking system (GPS tracking + real time activity diary completion) are compared with data collected using a hybrid tracking system (GPS-only system + deferred activity-travel patterns). The results show that, despite the greater effort involved in real time compilation, the information collected by the active logger is more in line with VTBC requirements and expectations
Estimation and validation of hybrid choice models to identify the role of perception in the choice to cycle
No full textCycling is one of the most sustainable and ecofriendly modes of travel and a good form of exercise. Many government and public health authorities recommend cycling to stay fit as well as to reduce air and noise pollution, CO2 emissions, traffic congestion, and other negative consequences of car use. In light of these benefits, a major challenge for researchers today is how to promote cycling. However, in countries where cycling is not common, apart from the need for proper cycling facilities, one major issue concerns people's perception of cycling for sport or recreational activities rather than as a mode of transport. The aim of this paper is to explore the role of perception in the likelihood of the bike being used for utilitarian purposes. We focus on the perception of: the bicycle as a means of transport; bikeability (in terms of usefulness and safety) and of bike infrastructure. Hybrid Choice Models (HCMs) have been used to estimate the effect of people's perception on the propensity to bike. The HCM also accounts for the serial correlation between error terms in the discrete and latent perceptions, to allow for agent-common unknown factors. Furthermore, we also validate the model results using a hold-out sample and discuss some policy measures aimed at changing travel behavior. The results suggest that, besides individual characteristics, latent aspects related to the perception of the context and of the bicycle as a means of transport strongly affect the propensity to cycle
Behavioral Analysis of Choice of Daily Route with Data from Global Positioning System
No full textThis work develops a methodology for converting data from the Global Positioning System (GPS) into observed routes (routes actually taken) to characterize intraindividual and interindividual variability in route choice and to compare observed and minimum-cost routes. Exploration of observed route choice behavior is crucial because the underlying decision-making process is more complex and dynamic for route choice than for other travel choice dimensions. Furthermore, the difficulties associated with collection of data on route choice are reflected in the scarcity of studies on observed behavior and the major simplifications made in traffic assignment models developed for the most common commercial software. The present study analyzes a GPS-based database of 679 routes, collected by a personal probe system called the activity locator over a period of 2 weeks for a sample of 12 students from the University of Cagliari in Italy. In particular, variability in the daily route (for the same individual and for several individuals) and observed deviations of the route from minimum-cost routes have been examined in depth. The results indicate that higher levels of intraindividual variability are found for discretionary trips, whereas higher levels of interindividual variability, as well as greater deviation from minimum-cost routes, are associated with work or study trips
An impact assessment of a travel behavior change program: A case study of a light rail service in Cagliari, Italy
No full textThis paper presents an experimental Voluntary Travel Behavior Change (VTBC) program implemented in Cagliari (Italy) for promoting a light rail service. More specifically (1) Personalized Travel Planning (PTP) and (2) Public Transport Information and Marketing (PTIM) are analyzed both as forming an integral part of a single VTBC program, as well as separately. Further, they are compared in order to evaluate their impact on travel behavior change.
In particular, PTP offers personalized and customized travel solutions devised on the basis of individuals’ observed travel behavior, to encourage them to travel more sustainably while the PTIM uses more general information to promote public transit use through advertising campaigns. The results, in both cases, seem to have important policy implications. Specifically, the study confirms the importance of using motivational campaigns, combining PTP and PTIM approaches. In addition, the results indicate that providing car users with tailored travel solutions (PTP) could have a greater positive effect on behavioral change, than the mass communication approach (PTIM). PTIM was found to be useful for behavior change, but it would be more effective if used mostly as a recruitment tool for Personalized Travel Plans (PTP)
Development of a technological platform for implementing VTBC programs
No full textThis paper presents the architecture of a technology platform constructed for the purpose of conducting personalised campaigns for promoting sustainable transportation. In particular, the proposed platform is designed to automate phases and activities of a Voluntary Travel Behaviour Change programme (VTBC), with a view to extending it to the large scale, reducing the resource commitment. A VTBC pilot test on a small convenience sample is also presented that aims to better define some features such as form and content of Personalised Travel Plans (PTP) and reinforcing messages provided to participants with a view to encouraging sustainable travel behaviour
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