GENERALIZED ORDERED LOGIT MODEL WITH TESTING ASSUMPTIONS: A CASE STUDY OF USING URBAN LIGHT RAIL IN BURSA
Küçük Resim Yok
Tarih
2024
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Univ Zilina
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
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.
Açıklama
Anahtar Kelimeler
public transport, comparison tests, Covid-19, assumption
Kaynak
Komunikacie - Vedecke Listy Zilinskej Univerzity V Ziline
WoS Q Değeri
Q4
Scopus Q Değeri
Q3
Cilt
26
Sayı
3
