Akademik Veri Yönetim Sistemi
International Journal of Civil Engineering, 2026 (SCI-Expanded, Scopus)
Promoting public transit (PT) is a major goal in sustainable urban mobility, which requires planning of PT accessibility, and considers non-motorized modes and the development of PT analysis zones (PTAZs). Traditional travel demand forecasting focuses on private motorized transportation by defining traffic analysis zones (TAZs), which can be very large to allow for accessibility to PT stops. This study introduces a geographic information system (GIS)-based multidimensional PTAZ (MDPTAZ) delineation method that integrates demand and considers points of interest (POIs) and supply with PT service points (PTSPs), using a hierarchical seed selection process with fishnet grids, density-based spatial clustering of applications with noise (DBSCAN) clustering, and Thiessen polygons. The case study for PT network in Konya, Türkiye, consolidates 3851 stops into 2426 PTSPs, and incorporates 5602 POIs. The best MDPTAZ delineation had 2253 zones, which are mostly within 300–500 m walking range. Sensitivity tests with varying fishnet size (ε) and DBSCAN distance (δ) yield with varying zone counts from 1484 to 4618 showed that increasing ε broadened the area range and central zones remained similar due to POI and PTSP dominance, while a larger δ increased cluster span and central zone size due to chain effect. Compared with POI-based or PTSP-based zoning, MDPTAZ eliminated impractically small or very large zones and lowered the share of fishnet-only zones lacking demand and supply points. The framework is adaptable to analyses supporting sustainable urban mobility plans, emphasizing non-motorized and public transport modes.