Communications - Scientific Letters of the University of Zilina 2024, 26(3):D38-D51 | DOI: 10.26552/com.C.2024.028
Generalized Ordered Logit Model with Testing Assumptions: A Case Study of Using Urban Light Rail in Bursa
- 1 Faculty of Engineering and Natural Sciences, Bursa Technical University, Bursa, Turkey
- 2 Faculty of Engineering and Architecture, University of Enna Kore, Enna, Italy
Logistic regression has been a widely used prediction technique to analyze categorical variables. However, if the assumptions are violated the results may be biased. The study in this paper applied an analytical technique namely generalized ordered logit model. A case study of using urban light rail under pandemic conditions was applied for the analysis. The results suggested that logistic regression should not be applied before exploring the multicollinearity and applying the test of parallel lines. If the assumptions are violated, generalized ordered logit model should be considered. Regarding the predictive variables, sociodemographic, socioeconomic and travel pattern, related variables were found to have a statistically significant impact on the perception of safety and infrastructure of urban light rail. The outcomes of the study would provide a deeper understanding of developing regression models for categorical variables for future studies.
Keywords: public transport, comparison tests, Covid-19, assumption
Grants and funding:
The authors received no financial support for the research, authorship and/or publication of this article.
Conflicts of interest:
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Received: December 20, 2023; Accepted: March 16, 2024; Prepublished online: April 29, 2024; Published: July 11, 2024 Show citation
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