This paper presents a comprehensive dataset of how public perceptions and its statistical implication on the behavioral adaptation toward the acceptability of bus reform scheme proposed by the government of Aceh, Indonesia. Studies indicate that public response to such a proposed policy is significantly related to the effectiveness of its implementation. Given the absence of studies from the developing countries context, a stated preference (SP) questionnaire is developed to investigate the public's consciousness concerning bus reform acceptance. A paper-pencil based questionnaire survey performed by direct interview was conducted in late 2017 and early 2018. The questionnaires were distributed with a total of 450 questionnaires valid. The most pertinent inquiries in our questionnaires were designated to attain (i) attitudinal indicators toward the acceptance of bus reform policy, (ii) attitudinal indicators related to perceived appropriateness of the policy, (iii) perceived awareness of problem private-mode in society, (iv) private-mode dependency, (v) inhibition of freedom of movements and (vi) correct and acceptable policy. We implemented a 4-point Likert scale such as 1 to 4 (strongly disagree to strongly agreed) in order to style the questionnaire easy to answer. A valid dataset was analyzed using Confirmatory Factor Analysis (CFA) for revealing how public perception has statistically significant explained the perceived effectiveness of the proposed bus reform policy.
AKDP movement has been declining lately based on an interview survey conducted on AKDP operators that it can be seen that the number of people using L-300 cars is on average above 5 passengers and the average does not meet the available passenger seats of 11 to 16 seats . The current condition shows that people tend to use private transportation / cars compared to public transportation. Judging from the condition of the AKPD in Aceh today many people use private vehicles to make movements. The purpose of this study was to determine the performance of AKDP transport in Aceh Province using the load factor approach. The method used is the Directorate General of Land Transportation method in 2002 and refers to the Decree of Dirjendat No. 274, 1996. Data collection was carried out by means of a static survey using the interview method. From the calculation results it can be seen that the load factor of the regular operating AKDP is 64.55%. This reflects that the level of service is still in good condition ie on regular routes totaling 44 routes, while the total number of routes is 321 which operates irregularly. By not operating 277 routes on a regular basis it can be seen that people tend to use private vehicles when traveling. Keywords: AKDP; Public Transport Performance; Minibus; Load Factor __________________________ Abstrak Pergerakan AKDP Akhir-akhir ini semakin menurun berdasarkan survei wawancara yang telah dilakukan terhadap operator AKDP bahwa dapat diketahui jumlah yang menggunakan mobil L-300 rata-rata di atas 5 penumpang dan rata-rata tidak memenuhi kursi penumpang yang tersedia yaitu 11 sampai dengan 16 seat. Kondisi saat ini, menunjukkan masyarakat cenderung menggunakan angkutan pribadi/ mobil dibandingkan dengan angkutan umum. Dilihat dari kondisi AKPD di Aceh saat ini banyak masyarakat menggunakan kendaraan pribadi dalam melakukan pergerakan. Tujuan penelitian ini adalah ingin mengetahui kinerja angkutan AKDP di Provinsi Aceh dengan pendekatan load factor. Metode yang digunakan adalah metode Ditjen Perhubungan Darat tahun 2002 dan mengacu pada SK Dirjendat No. 274, 1996. Pengambilan data dilakukan dengan cara survei statis dengan metode wawancara. Dari hasil perhitungan dapat diketahui nilai load factor AKDP yang beroperasi reguler adalah 64,55 %. Ini mencerminkan bahwa tingkat pelayanan masih dalam keadaan baik, yaitu pada trayek reguler yang berjumlah 44 trayek, sedangkan jumlah trayek seluruhnya adalah 321 yang beroperasi tidak reguler. Dengan tidak beroperasinya 277 trayek secara reguler dapat diketahui bahwa masyarakat cenderung menggunakan kendaraan pribadi dalam berpergian. Kata Kunci: AKDP; Kinerja Angkutan Umum; Mini Bus; Load Factor __________________________
Consumption of plastic waste in Indonesia is very high disrupting environmental sustainability, plastic waste takes hundreds of years to decompose making it a problem to be addressed immediately. So, in recent times, research has been carried out to utilize plastic waste into plastic-mix asphalt technology. One of them is by modifying the asphalt mixture with plastic bottle waste the type of Polyethylene Terephthalate (PET) as an additive. In addition, this study also used additional filler in the form of pine flower ash (PFA). This study aims to determine the characteristics of the AC-WC asphalt concrete mixture through Marshall testing of the substitution of PET into 60/70 penetration asphalt and filler ABP with using wet mixing methods and dry mixing methods. This research was started by examining the physical properties of asphalt, modified asphalt, and aggregates. Furthermore, the manufacture of test specimens with variations in asphalt content was carried out to determine the optimum bitumen content (OBC) and obtained OBC values of 5.29%, 5.79%, and 6.29%. Then made a PET substitution test object of 3%, 5%, and 7% and a combination of filler PFA 6% of the total weight of the filler on each asphalt content with wet mixing method and dry mixing method through Marshall test. The results of this study indicate that the stability for both methods of mixing the best levels is found in the substitution of 7% PET and the combination of ABP filler with an asphalt content of 6.29%, 1226.12 kg for the wet mixing method and 1291.43 kg for the dry mixing method. The durability value for the wet mixing method was obtained at 90.87% and for the dry mixing method it was obtained at 91.55%, both of these durability tests had met the specifications of 90%.
The necessity of people and goods to be moved from one place to another place has increased dramatically in recent years. It requires numbers of connectivity among the regions. Besides, policy changes in sea transportation sector including development of sea transport infrastructures as well as shipping/ferry lines to support fulfilling these needs are introduced. The ferry line from Kuala Langsa Port, Indonesia to Penang Port, Malaysia was introduced to encounter the need of mobility between those regions. In consequence, it is important to estimate future transport demand. This study is conducted to familiarize the use of machine learning methods in modelling and forecasting trip generation and trip attraction. Time-series trip generation and attraction data from Kuala Langsa to Penang and vice versa and socio-economic data were employed to develop the model. The result shows that gross domestic regional product (GDRP) and population variables has significant influence to generate trips between these ports.
There are different preferences in the decision-making process of humans due to stochasticity. Therefore, this study was conducted to investigate the preferences in selecting a particular mode of travel. This involved using discrete choice modeling. The predictive performance of the model was also evaluated with the contribution of each variable to the model. This is useful for stakeholders to evaluate which factors have significant contributions enabling them to adjust policy accordingly. This study made use of surveys which incorporate revealed and stated preferences in the City of Langsa, Aceh, Indonesia to produce 13 variables including trip attributes and socio-demographic characteristics. This study employs tree distinguished models based on age classes within the sample: all-data, old-age class, and young-age class. Seven variables namely trip frequency, willingness to travel frequency, level of education, household transport expenditure, number of family members, travel cost , and travel time exhibit significancy in every model albeit with diverse extents. With negative vectors, travel cost appears to have the greatest magnitude of scale parameter among variables in every model. Furthermore, each model managed to predict the outcome of alternative 1 extremely well, scoring nearly a perfect 100% a piece. However, no model yields a good accuracy rate in predicting alternative 2, with all models scoring below 15%. All models exhibit good overall accuracy rates, correctly predicting in at least 7 out of 10 times.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.