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Analysis of Runway Pavement Thickness Using FAA and LCN Methods Yacub, Garin; Aulia, Askia Esa; Birahmatika, Lilla Anjani; Purba, Jhon Hardy
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v11i4.64080

Abstract

Runways are crucial components of airport air transportation systems, serving as the primary surfaces for aircraft takeoffs and landings. To withstand the repetitive loading from various aircraft types, runway pavements must be designed with precise thickness in accordance with applicable technical standards. Despite the availability of various design guidelines, a notable research gap exists in the comparative evaluation of these methods for high-traffic runways to balance structural safety with modern economic and environmental sustainability goals. This study addresses this gap by analyzing the pavement thickness of Runway 3 at Soekarno-Hatta International Airport using two widely applied calculation methods: the Federal Aviation Administration (FAA) method and the Load Classification Number (LCN) method. The analysis utilized secondary data obtained directly from PT Angkasa Pura II, encompassing the dominant aircraft type (Boeing 737-800), annual aircraft movement volume, subgrade California Bearing Ratio (CBR) value (6%), and the specifications of the applied pavement materials. Calculations indicate that the FAA method requires a total pavement thickness of 990 mm, whereas the LCN method yields a lower thickness requirement of 889 mm. These findings demonstrate that the LCN method is more efficient than the FAA method within the context of Runway 3. The practical implications of this 101 mm difference in thickness are highly significant; the application of the LCN method directly contributes to reduced construction costs, minimizes material consumption, and supports sustainability objectives by lowering carbon emissions during the production and construction phases. In conclusion, this study strongly recommends the adoption of the LCN method in the development of modern airport infrastructure, as it has proven capable of meeting stringent safety standards while comprehensively optimizing economic efficiency and infrastructure sustainability.
Pemetaan Tingkat Konflik Berdasarkan Pelanggaran Menggunakan Metode Traffic Conflict Technique (TCT) di Jalan Laswi Kota Bandung Birahmatika, Lilla Anjani; Astor, Yackob; Erlita; Diangel, Cherry Aulia
Jurnal Teknik Sipil Terapan Vol. 8 No. 2 (2026): E-ISSN 2714-7843
Publisher : Jurnal Teknik Sipil Terapan (JTST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47600/jtst.v8i2.1379

Abstract

Traffic conflicts are an indicator that can be used to identify potential accidents before they occur. Jalan Laswi in Bandung City is an urban arterial road with high traffic activity, where various violations, such as U-turns, crossings, and counter-traffic, are still found, potentially increasing traffic conflicts. This study aims to identify the types of conflicts, determine the level of seriousness of the conflicts based on violations using the Traffic Conflict Technique (TCT) method, and map the distribution of conflict levels on Jalan Laswi in Bandung City. Data collection was conducted through a survey of traffic volume, traffic conflicts, vehicle speeds, and distance between vehicles over three days of observation. Analysis was conducted using Time to Accident (TA) and Traffic Conflict (TC) parameters. The results show that conflicts are dominated by U-turns, crossings, and counter-traffic, with the highest concentration in Segment 3. The highest TA value of 0.52 seconds is categorized as a non-serious conflict, while the lowest value of 0.10 seconds is categorized as a serious conflict. The highest conflict rate reached 100,504 conflicts per 1,000 vehicles in Segment 3 northbound, while the lowest conflict rate was 0.131 conflicts per 1,000 vehicles in Segment 1 northbound. The results of the study indicate that the TCT method is effective in identifying priority locations for handling and supporting preventive traffic safety efforts.