Open AccessAnalysis on the effect of socio-economic and travel attributes to perceptions of the Trans Koetaradja quality of services
Author(s) -
Ellys Safitri,
Sugiarto Sugiarto,
Renni Anggraini,
Ashfa Achmad,
H. Fahlevi
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/917/1/012038
Subject(s) - latent variable , structural equation modeling , exploratory factor analysis , quality (philosophy) , government (linguistics) , perception , path analysis (statistics) , dependency (uml) , transport engineering , business , multivariate analysis , preference , marketing , computer science , psychology , statistics , engineering , mathematics , philosophy , linguistics , software engineering , epistemology , neuroscience
The urban bus reform namely Trans Koetardja (TK) has been argued and implemented by the Government Aceh as measure to mitigate autos dependency in this region. One basic element of the bus system is that how to attract private vehicle users to switch to TK by providing good bus quality of services. Thus, understanding what factors may contribute to the perceived quality of services is a crucial and need to investigate thoroughly especially in developing cities. Therefore, this paper aims to explore and clarify the relationships among socio-economic attributes and travel behavioural characteristics of the respondents to bus reform quality of services by contemplating latent constructs from bus system operation side. Revealed preference survey was conducted in the mid of 2019. On board survey with a total of 450 samples were distributed and valid used in this study. The multivariate analysis of structural equation modelling so-called exploratory factor analysis (EFA) approach employed to reveal contributing effect of causal loading among socio-economic attributes and travel behavioural characteristics of the respondents to bus reform quality of services. The path coefficient is used to examine causal relationships among latent variables and its contributing factors. The results of the analysis explore that the significant correlation between the observed variables of bus system and the latent variables happened to the variables of time of arrival and bus to the comfort of the bus stop and bus.