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All Journal Aceh International Journal of Science and Technology Journal of The Civil Engineering Student

Sofyan M. Saleh

Syiah Kuala University

Author-ID : 2631944

Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Engineering Transportation

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Using psychometric data from the stated preference (SP) experiments to search explanatory power for appropriateness of congestion charging policy Sofyan M. Saleh; Sugiarto Sugiarto; Cut Mutiawati; Renni Angraini; Muhammad Isya
Aceh International Journal of Science and Technology Vol 5, No 3 (2016): December 2016
Publisher : Graduate Program of Syiah Kuala University

Comprehensive stated preference (SP) experiment was conducted in Jakarta (a capital of Indonesia), where proposal for congestion charge (CC) has been considered as a way to reduce acute traffic congestion. With the government planning a CC scheme, public support is regarded as a prerequisite for its implementation. Therefore, a framework of structural equation model (SEM) is used to search explanatory power for the appropriateness of CC considering unobserved variable (latent variable) from psychometric data obtained from SP questionare. Causal paths among psychological determinants and their strength are measured and analyzed along with proposal acceptability from a psychological perspective. The findings from analysis with a SEM approach shows that a number of psychological determinants provide an explanation for the acceptability of the proposed scheme. The findings from analysis with a SEM approach shows that a number of psychological determinants provide an explanation for the appropriateness of the proposed scheme. Latent variables representing the validity of the CC scheme, such as ACE, APC and REC appear to have a significant explanation. These emerge as psychological determinants contributing a positive correlation with enhancement of appropriateness CC policy. Empirical result further shows that males have positive scores for the latent variables of car dependency (CDC) and inhibition freedom of movement (IFM). Furthermore, the variable of annual income, it has a positive correlation with recognition of the effects of CC in mitigating congestion and environmental problems (REC), car dependency (CDC) and awareness of the problems of cars in society (APC). This means that respondents with higher incomes are more concerned with the problems manifested by motorization while, on the contrary, the path coefficient between annual income (AI) and car dependency (CDC) has a value of 0.270. This discloses an automobile dependency. These findings should provide insight that designing a more acceptable policy in respecting to the acceptance of public in large.

Stochastic Production Frontier Models to Explore Constraints on Household Travel Expenditures Considering Household Income Classes Sofyan M. Saleh; Sugiarto Sugiarto
Aceh International Journal of Science and Technology Vol 5, No 1 (2016): April 2016
Publisher : Graduate Program of Syiah Kuala University

This paper explores the variation of household travel expenditure frontiers (HTEFs) prior to CC reform in Jakarta. This study incorporates the variation of household income classes into the modeling of HTEFs and investigates the degree to which various determinants influence levels of HTEF. The HTEF is defined as an unseen maximum (capacity) amount of money that a certain income class is willing to dedicate to their travel. A stochastic production frontier is applied to model and explore upper bound household travel expenditure (HTE). Using a comprehensive household travel survey (HTS) in Jakarta in 2004, the observed HTE spending in a month is treated as an exogenous variable. The estimation results obtained using three proposed models, for low, medium and high income classes, show that HTEFs are significantly associated with life stage structure attributes, socio-demographics and life environment factors such as professional activity engagements, which is disclosed to be varied across income classes. Finding further reveals that considerable differences in average of HTEFs across models. This finding calls for the formulation of policies that consider the needs to be addressed for low and medium income groups in order to promote more equity policy thereby leading to more acceptable CC reform.

Co-Authors affirnando selian Asrarul Maula Cut Mutiawati Cut Mutiawati Desky Aulia Pratama Farach Dina Febby Salsha Nabilla Fitrika Mita Suryani Fitrika Mita Suryani humaira humaira Lulusi Lulusi M. Isya Muhammad Fauzan Muhammad Isya nanda rizka amalia Renni Angraini Ruhdi Faisal Ruhdi Faisal Sugiarto Sugiarto yasara rizli Yusria Darma

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