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Interrelations Between Transportation Development and Congestion: A Bibliometric Analysis Using VOSviewer Agustian, Renaldi; Reta, Reci Tiana; Septiyani, Yusan Nurul; Toruan, Erni Sari Lumban; Isradi, Muhammad
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1383

Abstract

The development of transportation has become one of the important indicators of regional progress, especially amid rapid urbanization. Congestion can be defined as a condition when the transportation system does not function smoothly. This study aims to explore the relationship between transportation development and congestion through a bibliometric approach using VOSviewer. VOSviewer is a software tool designed for creating and analyzing visual maps based on bibliometric or text data. Data were collected using the Publish or Perish software, which is connected to the Google Scholar academic database, with relevant publications from 2020–2025. The collected data were then exported and analyzed using VOSviewer software to perform keyword co-occurrence analysis, network keyword on relation, co-occurrence author, and visual mapping of the research network. The highest number of year publications was in 2024, with 248 articles. the keywords “traffic congestion” and “transportation” are linked through related keywords such as smart city, machine learning, intelligent transportation system, and artificial intelligence. These keywords represent the relationship between transportation and traffic congestion. This research can also provide scientific literature in the field of transportation planning and spatial planning so that as transportation develops and grows, sustainable spatial planning can be implemented
User Behavior in Public Transportation Mode Selection: A Systematic Literature Review Nurhasanah, Rini; Fatimah, Ghaida Tsauraya Nur; Sugih, Ageng; Toruan, Erni Sari Lumban; Handayani, Susanty
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1411

Abstract

Urban mobility in Indonesia faces major challenges due to rapid urbanization, increasing private vehicle ownership, congestion, and pollution. In regions like West Java, including Bandung Raya and Majalengka, these issues are compounded by user preferences driven by comfort, cost, and travel time, often favoring private vehicles. As a developing country, Indonesia also struggles with weak inter-agency coordination, low infrastructure investment, and public stigma toward public transportation. This study employs the Systematic Literature Review (SLR) method to collect, analyze, and synthesize findings from existing research on transportation modes. Data were sourced using the Publish or Perish (PoP) software, which conducts targeted searches on Google Scholar—chosen for its accessibility and diverse sources compared to databases like Scopus or Web of Science. A total of 1,000 publications from 2000 to 2025 were analyzed. Using VOSviewer, the study examined keyword correlations and trends in publication themes over time. The results indicate a notable rise in transportation mode research since 2010, peaking around 2020. Overlay Visualization from VOSviewer reveals the temporal progression of key terms, highlighting growing interdisciplinary interest in public transportation issues. These findings provide valuable insight into the academic development of transportation studies and support policy discussions on sustainable urban mobility in Indonesia.
Capacity in Transportation Systems: A Bibliometric of Local Road Capacity on the Middle City Scale Pramadita, Moch. Galih; Azhary, Dejan Fauzan; Satrio, Rio; Toruan, Erni Sari Lumban; Hamdayani, Susanty
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1430

Abstract

This study presents a bibliometric analysis of research on transportation system capacity with a specific focus on local road networks in medium-sized urban areas. Using data sourced from reputable databases and analyzed through VOSviewer software, the study identifies research trends, collaboration networks, and dominant themes in this field. The results indicate a significant rise in scholarly interest over the past decade, particularly in addressing urban mobility, road congestion, sustainability, and the integration of emerging technologies such as artificial intelligence and smart transportation systems. The visualization of keyword networks and publication patterns highlights the interdisciplinary nature of transportation studies, involving engineering, urban planning, and environmental concerns. The findings are expected to provide valuable insights for researchers, policymakers, and urban planners in formulating future transportation strategies that are efficient, adaptive, and sustainable.
A Bibliometric Literature Review Analysis of Public Sentiment Towards the Implementation of ETLE Cameras at Intersection Four Hidayat, Agung Nur; Luthfiansyah, Fahmi Nabhan; Maulana, Sevan Alif; Toruan, Erni Sari Lumban; Taufik, Mohamad
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1463

Abstract

The implementation of the Electronic Traffic Law Enforcement (ETLE) system at the Kadipaten intersection in Majalengka is a strategic step to improve traffic order through electronic camera-based surveillance. This study aims to evaluate public sentiment toward ETLE technology using a bibliometric approach and keyword visualization analysis. The Bibliometric method was used to collect and analyze 1,000 publications from Google Scholar, with the assistance of the Publish or Perish and VOSviewer software. The results indicate that the majority of studies highlight the important role of cameras in improving traffic efficiency and road safety. Keywords such as video camera, traffic camera, speed camera, and radar frequently appear, reflecting the high level of attention given to sensor technology and traffic monitoring. Keyword network visualization also reveals a strong connection between driver behavior, road design, and the effectiveness of ETLE cameras. This study provides recommendations to improve public acceptance through education, outreach, and the development of inclusive and transparent policies.
A Systematic Literature Review on the Challenges and Solutions in Public Transportation for Medium-Sized Setyawan, Yoga; Imarwan, Manu; Egan, Abiel; Toruan, Erni Sari Lumban; Taufik, Mohammad
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1464

Abstract

Public transportation in medium-sized cities faces unique challenges that are often overlooked in national policy formulation. Cities like Jatiwangi are experiencing rapid spatial and economic growth, yet this is not matched by the availability of adequate public transportation modes, in terms of infrastructure, services, and policies. This study employs a Systematic Literature Review (SLR) approach to identify the challenges and solutions in developing public transportation in medium-sized cities, based on 100 selected publications from the year 2000 to 2025. A bibliometric analysis was conducted using VOSviewer to map the relationships among keywords and dominant thematic clusters. The results reveal five main clusters reflecting concerns regarding technological integration, urban growth, policy solutions, infrastructure safety, and sustainable mobility. This review emphasizes the importance of a contextual, adaptive, and locally-driven approach to public transport in non-metropolitan cities. These findings are expected to serve as a foundation for more inclusive and efficient transportation policy decisions in the future.
Impact of Intelligent Transportation Systems (ITS) on Traffic Improvement for Middle City Scale: A Systematic Literature Review (SLR) Yudha, Ridho Fhaza Damar; Astapati, Damar Gusti; Pamungkas, Febri Kusbianto; Toruan, Erni Sari Lumban; Prasetijo, Joewono
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1465

Abstract

Intelligent Transportation Systems (ITS) have rapidly evolved as innovative solutions to improve traffic performance while reducing accident rates. This study is a Systematic Literature Review (SLR) aimed at analyzing the impact of ITS technology implementation on traffic improvement, particularly through the application of traffic warning systems and adaptive traffic management. Based on previous studies, traffic warning systems provide real-time information about road conditions and potential hazards, enhancing driver awareness and reducing the risk of accidents. In addition, adaptive traffic management utilizes sensors and optimization algorithms to adjust traffic light cycle times according to vehicle density, resulting in smoother traffic flow and reduced congestion. The findings of this SLR indicate that implementing ITS significantly contributes to lowering accident rates, improving road safety, and enhancing the efficiency of urban transportation networks.