ANALYSIS OF REAL RELATIVE ASYMMETRY IN URBAN TRANSPORTATION NETWORK PROBLEMS USING SPACE SYNTAX, REDS, AND MACHINE LEARNING CONCEPTS

ANALYSIS OF REAL RELATIVE ASYMMETRY IN URBAN TRANSPORTATION NETWORK PROBLEMS USING SPACE SYNTAX, REDS, AND MACHINE LEARNING CONCEPTS

In the context of urban growth and increasing population density, urban transportation networks face significant challenges such as traffic congestion, infrastructure limitations, and traffic law violations. This study integrates three analytical approaches—Space Syntax, Resolving Efficient Dominati...

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Bibliographic Details
Main Authors: Robiatul Adawiyah, Fitriyatul Mardiyah, Dafik Dafik, Ika Hesti Agustin, Excelsa Suli Wildhatul Jannah, Marsidi Marsidi
Format: Article
Language:English
Published: Universitas Pattimura 2025-07-01
Series:Barekeng
Subjects:
machine learning
reds
space syntax
urban transportation
Online Access:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/16299
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