1,721,287 research outputs found
Programmi e azioni per la promozione della mobilità sostenibile nelle città. In: L’approccio ingegneristico al tema della sicurezza stradale e della sostenibilità nelle città
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Do psycho-attitudinal factors vary with individuals’ cycling frequency? A hybrid ordered modeling approach
Full text linkThe purpose of the present study was to investigate specifically whether psycho-attitudinal factors could differ for people with different cycling frequency levels and to quantify the determinants influencing the propensity to cycle. To perform our analysis, we developed a hybrid choice modeling approach with a generalized ordered probit choice kernel, using the information collected in 2016 for 2128 individuals in two mid-size urban areas in Sardinia (Italy). Our results indicate that the latent variables Perception of cycling benefits, Perception of cycling comfort and Perceived importance of bike infrastructure positively influence the propensity to cycle, supporting the idea of a relationship between attitudes and cycling frequency. In addition, the model shows a link between different socio-demographic variables (gender, age, Body Mass Index, education level, number of cars per household, number of household members), built environment characteristics and bike usage. Computation of the pseudo-elasticity effects indicates that strategies focusing only on the physical part of the problem, such as the expansion and improvement of proper infrastructure, might not be sufficient to encourage bike use. At the same time our findings stress the importance of considering people's psychological characteristics when implementing policies aimed at promoting cycling. This can be helpful for identifying, depending on the population segment that is targeted, the most appropriate advertising/information strategy for convincing people to cycle, as well as the most effective marketing messages
Perceived importance of facilitators to cycling: the case of a starter cycling city in Italy
Full text linkThe goal of this study is to understand and explore how facilitators to cycling are perceived by different segments of individuals, in view of assessing how to best promote the use of the bicycle in urban areas bicycle-unfriendly. The data for this study is drawn from a survey conducted in the metropolitan area of Cagliari, a starter cycling city in Italy, in 2014-2016 among a sample of local employees. The sample comprises 1,481 observations. All participants were asked to rate, by means of a 5-point Likert Scale, the importance of eight different specified factors that would encourage them to start cycling or to cycle more often. These factors, which are the dependent variables of our study, are modelled jointly using a multivariate ordered probit framework. Our results clearly indicates that how people perceive the implementation of policy measures aimed to encourage more frequent cycling depends on their socio-demographic characteristics. Hence, a holistic approach with a variety of activities is needed, as improvements in cycling infrastructure may not be enough
effects of land use patterns on tour type choice. The application of a hybrid choice model
No full textCould a new mode alternative modify psycho-attitudinal factors and travel behavior?
No full textThere is ample consensus that, besides objective characteristics, psycho-attitudinal factors play a key role in influencing people’s mode choice. Hybrid choice models use these theoretical frameworks so as to include latent constructs for capturing the impact of subjective factors on mode choice. But recent work in transportation research raised the question about the ability of hybrid choice models to derive policy implications that aim to change travel behavior, given the focus on cross-sectional data. To address this problem we designed a survey for collecting longitudinal data (socio-economic and psycho-attitudinal) to evaluate, on the one hand, the long-term effects on travel mode choice of the implementation of a new light rail line in the metropolitan area of Cagliari (Italy), on the other to detect any changes in the psycho-attitudinal factors and socio-economic characteristics after implementation of those measures. In particular, the objective of the study is to analyze whether these changes in individual characteristics are able to affect mode choice from a modeling perspective, through the specification and estimation of hybrid models. Our results show that latent variables were not significantly different over waves, showing that the impact of the psychological construct remained stable over time, even after the introduction of the new light rail. Additionally, we found some evidence that the variables that explain the latent variables could change over time
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