Capacity in Transportation Systems: A Bibliometric of Local Road Capacity on the Middle City Scale

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.

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Publication Details

Journal
RIGGS Journal of Artificial Intelligence and Digital Business
Published
2025-07-13
DOI
https://doi.org/10.31004/riggs.v4i2.1430
Primary Topic
Transportation Planning and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Capacity in Transportation Systems: A Bibliometric of Local Road Capacity on the Middle City Scale

Moch. Galih Pramadita, Dejan Fauzan Azhary, Rio Satrio, Erni Sari Lumban Toruan et al.
RIGGS Journal of Artificial Intelligence and Digital Business
Transportation Planning and Optimization
article

Capacity in Transportation Systems: A Bibliometric of Local Road Capacity on the Middle City Scale

Moch. Galih Pramadita, Dejan Fauzan Azhary, Rio Satrio, Erni Sari Lumban Toruan, Susanty Hamdayani
article en

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.

RIGGS Journal of Artificial Intelligence and Digital BusinessVol. 4(2)
Institute of Transportation and Logistic Trisakti (ID), Universitas Majalengka (ID)
Openalex Percentile: Top 79%
Transportation Planning and Optimization
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Capacity in Transportation Systems: A Bibliometric of Local Road Capacity on the Middle City Scale — Moch. Galih Pramadita, Dejan Fauzan Azhary, et al. · RIGGS Journal of Artificial Intelligence and Digital Business (2025) | TGRS Research Map | TGRS