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Understanding Household's Travel Costs Budget Frontier in Banda Aceh, Indonesia
14 references·3 citing·37 second hop
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References

  • 1977Formulation and estimation of stochastic frontier production function models10,129 cited
  • 2006Understanding Travel Time Expenditures Around the World: Exploring the Notion of a Travel Time Frontier66 cited
  • 2013The impacts of household structure on the individual stochastic travel and out‐of‐home activity time budgets34 cited
  • 2018The tendency of public’s attitudes to evaluate urban congestion charging policy in Asian megacity perspective: Case a study in Jakarta, Indonesia32 cited
  • 2017Factors affecting trip generation of motorcyclist for the purpose of non-mandatory activities30 cited
  • 2019Analysis on Public’s Response Toward Bus Reform Policy in Indonesia Considering Latent Variables28 cited
  • 2018Commuting behavior in emerging urban areas: Findings of a revealed-preferences and stated-intentions survey in Cluj-Napoca, Romania27 cited
  • 2017Inclusion of latent constructs in utilitarian resource allocation model for analyzing revenue spending options in congestion charging policy24 cited
  • 2014Transportation Expenditure Frontier Models in Jakarta Metropolitan Area20 cited
  • 2019Investigating public perceptions and its implication toward Trans Koetaradja policy considering latent motivation17 cited
  • 2019Attitudinal dataset for mediating the effects of public acceptance on bus reform scheme in a developing country context17 cited
  • 2020Demand forecast of public transportation considering positive and negative mass effects16 cited
  • 2013

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Exploring the Dynamics in Travel Time Frontiers
14 cited
  • 2020Attitude toward physical activity as a determinant of bus use intention: A case study in Asuke, Japan13 cited
  • Cited by

    • 2023An exploratory analysis of factors that encourage students to choose sustainable modes in travelling to schools: evidence from Victoria, Australia7 cited
    • 2022Investigating the determinants of travel mode choice across age classes in Langsa, Indonesia utilizing logit model6 cited
    • 2025Application of Artificial Neural Networks (ANN) in Investigating Travel Mode Choice: A Case Study of Langsa-Penang Passenger Ferry5 cited