Connectivity Assessment of Public Transportation Stops in Istanbul: A GIS-Integrated Approach

Year 2025, Volume: 12 Issue: 4, 415 - 424, 12.01.2026

Esra Gizem Uğur , Zaide Duran

https://doi.org/10.26650/ijegeo.1826138

https://izlik.org/JA36BM47UG

Abstract

The growing population and the continuous expansion of urban areas have increased the demand for transportation systems, emphasizing the need to enhance transport infrastructure in a more efficient, integrated, and sustainable way. Integration plays a crucial role in ensuring that different modes of public transport operate harmoniously, facilitating transfers, and enabling passengers to travel easily between destinations. Numerous studies have demonstrated that such integration improves both user satisfaction and the overall use of public transport. This can be achieved through the interconnection of public transport lines and the establishment of effective transfer opportunities. This study aims to evaluate the connectivity levels of stations along Istanbul’s M7 metro line. The analysis was conducted in the QGIS environment using open-source datasets for the road network and public transport stops. A Simplified Connectivity Index (SCI) was developed by incorporating variables such as speed, passenger capacity, frequency, working hours, and distance from the origin point for all lines accessible within a defined service area of each M7 station. The findings indicate a strong relationship between SCI (connectivity) values and the number of direct transfer options, passenger volumes, and nearby non-bus stops, while a moderate relationship was observed with the number of available modes. Among the 17 analyzed stations, connectivity levels were classified as good for 5 stations, average for 4, and weak for 8, indicating uneven multimodal integration along the M7 metro line.

Keywords

Connectivity , Accessibility , Public Transportation , GIS , Network Analysis

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