Understanding Household's Travel Costs Budget Frontier in Banda Aceh, Indonesia

Abstract

This study aims to explore the constraints of the Travel Costs Budget Frontier (TCBF) before a full-charged fare is implemented for the bus system known as the “Trans Koetaradja” in the city of Banda Aceh, Indonesia. A stochastic frontier analysis was used to identify how people allocate their share of income for transportation in line with their mobility and socio-demographic characteristics. The findings showed the TCBF to be influenced by commuting trip activities, private mode usage, owning car and motorcycle and income limits. Barriers were observed to be restricting the low-medium income groups. Owning their own private modes within the low-medium income groups does mean household disbursement and could impose their transport expenditure rather than public modes usage. There is a need to devise policies considering the low-medium incomes to implement impartial full-charge to ensure affordable bus fare.

Investigating the determinants of travel mode choice across age classes in Langsa, Indonesia utilizing logit model

“…Similarly, it also applies to the transport expenditure which was arranged into middle-low expenditure (spending less than IDR 500,000) and middle-high expenditure (spending more than IDR 500,000), employment into entrepreneur and others, age into young (40 years or younger) and old (40 years or older), education level into secondary education and non-secondary education graduates, and mode choice into alternative 1 (ship) and alternative 2 (airplane via airport either in Banda Aceh or Medan). There was small difference between the share of income class with its corresponding transport expenditure class, as households with higher income tend to allocate more resource for transportation expenditure [21,22]. Table 3 illustrates the data after some adjustments have been made.…”

An Analysis of Ride Hailing Preference Among University Students Using Artificial Neural Networks (ANN)

“…Therefore, in studying travel behaviour and pattern, it is important to delve into factors that motivate college students to use certain modes, in particular ride hailing as a disruptive technology. Socio-economic and household charateristics and travel attributes have been shown to affect mode choice in previous travel behaviour studies (for example see [3][4][5][6]). Urban and regional planners, transportation planning experts, ride hailing operators, and stakeholders could utilise results from this study to design and regulate ride hailing policy in accommodating public particularly university students need to achieve effective, efficient, and accessible transportation system.…”