Analysis of movement patterns based on origin-destination matrix
Keywords:
destination origin matrix (MAT), land use, movement patternsAbstract
Background: Transportation is a crucial element in the development of a region. The commonly used planning model is the trip distribution model, which is represented in the form of a Destination Origin Matrix (MAT). This study examines transportation and traffic patterns in North Sinjai District, focusing on origin–destination movements. It highlights the role of the Destination Origin Matrix (MAT) in modeling mobility, planning transport systems, and understanding socio-economic and land use influences on movement. Methods: This research was conducted in North Sinjai District, an urban area divided into seven zones based on community activity centers: trade and services, settlements, education, offices, health, worship, and public spaces. The study mapped origin–destination movements and assessed regional function management using literature review, observation, questionnaires, and interviews. The study in North Sinjai District involved 300 respondents across seven zones. Findings: Results show adults dominated respondents, with students as the largest occupational group. Private motorcycles were the most used vehicles. Health zones had the highest origin movements, trade and services zones the highest destinations, while residential and public spaces were the lowest. Desire Line analysis indicated strong interactions between health, offices, and trade zones, guiding land use management priorities and infrastructure allocation. Conclusion: The study indicates that strategic planning of regional transport flows, especially through the Destination Origin Matrix, can identify sector-specific needs, highlighting the requirement for enhanced infrastructure in the health zone. Novelty/Originality of this article: The novelty of this research lies in applying a detailed Destination Origin Matrix at a sub-district urban scale to guide resource allocation for specific community activity zones, particularly addressing health sector demand.
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