GIS-based transit trip allocation methods converting stop-level boarding and alighting trips into TAZ trips
ridership - forecasting, ridership - modelling, technology - geographic information systems, technology - passenger information, planning - methods, planning - surveys
Transit travel forecasting models, stop-level activities, zone-level aggregation of stop-activities, AVL/APC data, GIS-based method, case study
This study introduces a framework to improve the utilization of new data sources such as automated vehicle location (AVL) and automated passenger counting (APC) systems in transit ridership forecasting models. The direct application of AVL/APC data to travel forecasting requires an important intermediary step that links stops and activities – boarding and alighting – to the actual locations (at the traffic analysis zone (TAZ) level) that generated/attracted these trips. GIS-based transit trip allocation methods are developed with a focus on considering the case when the access shed spans multiple TAZs. The proposed methods improve practical applicability with easily obtained data. The performance of the proposed allocation methods is further evaluated using transit on-board survey data. The results show that the methods can effectively handle various conditions, particularly for major activity generators. The average errors between observed data and the proposed method are about 8% for alighting trips and 18% for boarding trips.
Permission to publish the abstract has been given by Taylor&Francis, copyright remains with them.
Jung, Y., & Casello, J.M. (2019). GIS-based transit trip allocation methods converting stop-level boarding and alighting trips into TAZ trips. Transportation Planning and Technology, Vol. 42(8), pp. 848-867.