การวิเคราะห์ช่องว่างระหว่างอุปสงค์และอุปทานของระบบขนส่ง สาธารณะโดยอิงจากข้อมูลตารางเวลาการเดินทาง

Abstract

Bridging a gap between demand and supply in transit service is crucial for public transportation management as planning actions can be implemented to generate supply in high demand areas or improve inefficient use of a transit service at low transit demand areas, for instance. Thus, the aim of this study is to introduce feasible approaches in measuring the gap, namely gap type 1 and gap type 2. Gap type 1 measures the gap in the unit of the number of public transit riders per area, while the gap type 2 measures the gap as a normalized index. Gap type 1 provides a value that is more realistic than the gap type 2, but requires a detailed passenger data. Gap type 2 is a practical alternative when the detailed passenger data is unavailable by using its weighting scheme to estimate demand values along with a newly proposed normalization method called M-score, which enables a longitudinal gap analysis where yearly gap patterns and trends can be observed and compared. As a case study example, a five-year gap analysis of Calgary transit is presented. A new perspective of hourly gaps presented in this work along with the proposed gap measurement approaches contribute to the field of public transit system planning and service improvement.