Influence of Attitudes with Respect to Cycling on the Perception of Existing Barriers for Using this Mode of Transport for Commuting

Souza, Adriana Aparecida de; Sanches, Suely P.; Ferreira, Marcos Antônio

doi:10.1016/j.sbspro.2014.12.191

Cited by 44 publications

(20 citation statements)

References 11 publications

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“…In relation to PBC, unlike other studies (Caballero et al, 2014;de Souza et al, 2014;Acheampong and Siiba, 2018;Si et al, 2020), the present research shows a very low impact of this variable in determining intention, together with subjective norms. These results may be because Italy is less "bike-friendly" than other countries.…”

Section: Discussioncontrasting

confidence: 99%

Comparing the Relative Importance of Predictors of Intention to Use Bicycles

et al. 2022

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The use of bicycles for active commuting is an important target to reach because of the importance of increasing physical activity among the population and improving the air quality in cities. Among the models that have been utilized in previous studies, the Theory of Planned Behavior (TPB) has shown good results in terms of the total variance obtained. However, establishing the relative importance of the TPB variables is difficult. In the present study, which was carried out in the Italian context, the authors sought to establish the weight of the proposed variables based on the dominance analysis approach. Considering the initiatives, which the Italian government carries out, and the particular period in which the study was developed, the authors included two variables in addition to the classical factors: financial incentives and daily commuting habits. A survey was administered to 294 Italians (222 females and 72 males, from 18 to 77 years old) through social networks from July to September 2020. The results have shown how the main predictor of bicycle use was use habits, followed almost at the same level by financial incentives and attitude, while norms and perceived behavioral control (PBC) present low relative importance among the variables considered. Limits of the study have been discussed, and suggestions for future research have been proposed.

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Section: Discussioncontrasting

confidence: 99%

Comparing the Relative Importance of Predictors of Intention to Use Bicycles

et al. 2022

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“…Several European studies have assessed attitudes toward the bicycle as a mode of transport in working-age populations (20)(21)(22) and university settings (23)(24)(25). In-depth interviews comparing bicycle commuting attitudes between European and American commuters were also conducted (26).…”

Section: Introductionmentioning

confidence: 99%

Private and public modes of bicycle commuting: a perspective on attitude and perception

Curto

Nazelle

Donaire-González

et al. 2016

Eur J Public Health

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“…The optimal number of points on a scale has been a subject of intense debate with researchers arguing in favour of 5-and 7-points scales [18], [19], a debate that has yet not reached a consensus [20], [21]. Researchers use several types of scales, often ranging from 3-to 7-points to measure attitudes [9], [11], [22]- [24]. Another challenge associated with the use of closedended responses is if neutral points (middle point) should be included or not.…”

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confidence: 99%

Open-Ended Versus Closed-Ended Responses: A Comparison Study Using Topic Modeling and Factor Analysis

Baburajan

Silva²,

Pereira

2021

IEEE Trans. Intell. Transport. Syst.

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For practical reasons, surveys that aim for a large number of respondents tend to restrict themselves to closed-ended responses. Despite potentially bringing richer insights, the use of open-ended questions poses great challenges in terms of extracting useful information while significantly increasing the analysis time. Nevertheless, automatic text analysis techniques speed up the analysis of open-ended responses. In this research, we explore the potential to use techniques in topic modelling [Latent Dirichlet Allocation (LDA) and Supervised LDA (sLDA)] to extract information from open-ended responses. This is compared to the information obtained from closed-ended responses, accomplished using a questionnaire that measures the intention to use shared autonomous vehicles (SAVs). Two versions of the questionnaire-Ver_OE and Ver_Lk were used, with open-ended and Likert scales measuring the same attitudes in the alternative versions. Factors were extracted for closed-ended questions. For questions common to both versions of the questionnaire, respondents answering Ver_OE had a higher positive attitude towards autonomous vehicles. These attitudinal questions were placed after the open-ended questions. When evaluating the performance of the models that predict the intention to use SAVs, models estimated using Ver_OE performed better. This increased further with the inclusion of the information extracted from the open-ended responses using both, the unsupervised (LDA) and supervised (sLDA) methods. No improvement was observed in the model for Ver_Lk. These indicate the potential for the use of open-ended questions to measure attitudes and topic modelling to extract information from these responses.

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Influence of Attitudes with Respect to Cycling on the Perception of Existing Barriers for Using this Mode of Transport for Commuting

Cited by 44 publications

References 11 publications

Comparing the Relative Importance of Predictors of Intention to Use Bicycles

Comparing the Relative Importance of Predictors of Intention to Use Bicycles

Private and public modes of bicycle commuting: a perspective on attitude and perception

Open-Ended Versus Closed-Ended Responses: A Comparison Study Using Topic Modeling and Factor Analysis

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