Activity-based travel behavior modeling of dormitory students

Yaghoubi, Mohammad Mehdi; Rassafi, Amir Abbas; Mirzahossein, Hamid

doi:10.1016/j.cstp.2022.01.021

Cited by 6 publications

(8 citation statements)

References 25 publications

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“…Additionally, there is a noticeable increase in the use of social media to disseminate university research. 2021). The reviewed studies reported overall response rates ranging from 2% (HASNINE et al, 2018) to 34% (LOGAN et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

“…Vahedi, Shams, and Mehdizadeh (2021) studied variables' direct and indirect effects relative to active commuting on university trips at Isfahan University in Iran. De Angelis, Mantecchini, and Pietrantoni (2021) aimed to identify passenger groups based on their modal choice in a large higher education institution in Italy. They also compared these groups regarding sociodemographic and psychosocial variables.…”

Section: Barriers and Opportunitiesmentioning

confidence: 99%

“…Rérat (2021) employed multivariate binary logistic regressions and observed, for example, that mode choice can be explained by the effects of gender, age, income, the territorial context, and values associated with mode importance.…”

Section: Regression Modelsmentioning

confidence: 99%

“…The application of multinomial and binary logit models provided insights, for example, that time value varies between pedestrians and bus passengers on uphill sections (SANKO, 2020). The use of multinomial and mixed logit models indicated that the main difficulties in using MTransit are additional transfers and boardings (YAN; LEVINE; ZHAO, 2019) and brought to light the factors influencing the demand and travel behavior of students living in university residences (YAGHOUBI; RAS-SAFI; MIRZAHOSSEIN, 2022). Using different logit models allowed for discovering evidence that past cycling times are a reference point for future mode choice decisions (PEER, 2019).…”

Section: Discrete Choice Modelsmentioning

confidence: 99%

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Research instruments and data analysis for mode choice in travel within the university environment

Maia,

De Azevedo Filho

2024

Cad. Pedagógico

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This article reviews recent literature on data collection and analysis procedures regarding modal choice in university travel. The review method included the search, selection, and critical analysis of studies published in indexed journals in the bibliographic databases between 2018 and 2023. While most studies utilized online questionnaires, there was some adherence to in-person surveys. Strategies such as social media promotion and prize incentives have been employed. Regarding analysis tools, it was observed that most studies employ quantitative approaches, including statistical tests, discrete choice models, and integrated and latent variable models. In addition to commonly used variables such as socioeconomic or behavioral factors, there has been an inclusion of variables that explain the effect of the global pandemic scenario on the travel behavior of the academic community.

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Section: Discussionmentioning

confidence: 99%

Section: Barriers and Opportunitiesmentioning

confidence: 99%

Section: Regression Modelsmentioning

confidence: 99%

Section: Discrete Choice Modelsmentioning

confidence: 99%

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Research instruments and data analysis for mode choice in travel within the university environment

Maia,

De Azevedo Filho

2024

Cad. Pedagógico

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“…Travelling activities in an island destination are very important for tourists to develop a romantic imagination (Rafiq et al, 2022;Wang et al, 2022;Yaghoubi et al, 2022). The characteristics of an island that differ in providing a unique and distinctive experience can provide a different quality of experience for tourists (Stavrianea & Kamenidou, 2022).…”

Section: Introductionmentioning

confidence: 99%

The effect of experience quality on behavioral intentions mediated by tourist happiness and tourist satisfaction in an island destination

Haji

Hasim

Soleman

et al. 2022

ebasr

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This study aims to determine the influence of experience quality, tourist happiness, and tourist satisfaction on behavioral intentions. This study wanted to assess the role of tourist happiness and satisfaction in mediating experience quality's influence on behavioral intentions. This study used samples of domestic tourists who had experience traveling on the island of Dodola with a total of 210, with purposive sampling techniques with several predetermined criteria: 1. Have been 18 years old when filling out the questionnaire; 2. Have traveled on the island of Dodola; 3. At the same time, traveling on the island of Dodola. The data were analyzed using the Partial Least Square (PLS) technique with SmartPLS 3.0. the results showed that the variables of experience quality had a positive and significant effect on behavioral intentions, tourist happiness, and tourist satisfaction. Furthermore, tourist happiness and tourist satisfaction had a positive and significant impact on behavioral intentions. The influence of the quality of experience on the intention of behaving.

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Quantifying perceived social benefit of bicycle-friendly infrastructure in Indian cities: Patna as a case study

Monga,

Sadhukhan

2023

Journal of Cycling and Micromobility Research

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Activity-based travel behavior modeling of dormitory students

Cited by 6 publications

References 25 publications

Research instruments and data analysis for mode choice in travel within the university environment

Research instruments and data analysis for mode choice in travel within the university environment

The effect of experience quality on behavioral intentions mediated by tourist happiness and tourist satisfaction in an island destination

Quantifying perceived social benefit of bicycle-friendly infrastructure in Indian cities: Patna as a case study

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