2024 年 15 巻 p. 2124-2141
The present work aims to identify critical bus stops by analyzing spatial patterns associated with bus journey time at different temporal scales using historical GPS trajectory data collected from existing bus route network in Kolkata city, India. Statistical KS test was used to decide the temporal scale for analysis, and the existence of spatial patterns were visually checked with a natural breaks map. Moran’s I-index was instrumental in finding overall spatial pattern and LISA method was adopted to identify the critical bus stops (high journey time and/or high variability). Result shows the presence of two separate sets of critical bus stops during peak and lean periods. The reason for criticality varies depending on both type of criticality (whether a critical bus stop is making subsequent bus stops critical or not) and time-period of occurrence. Such insights may guide the operators and policymakers in formulating suitable strategies for improving bus service.