Purpose-driven public transport: creating a clear conversation about public transport goals

Public Transport Ontology for Passenger Information Retrieval

Passenger information aims at improving the user-friendliness of public transport systems while influencing passenger route choices to satisfy transit user’s travel requirements. The integration of transit information from multiple agencies is a major challenge in implementation of multi-modal passenger information systems. The problem of information sharing is further compounded by the multi-l...

Transport Infrastructures Safety: a Case Study about Public Policy-making Transport Infrastructures Safety: a Case Study about Public Policy-making

Public transport risk assessment through fault tree analysis

This study focused on the public transport risk assessment in District one of ​​Tehran through Fault Tree Analysis involving the three criteria of human, vehicle and road in Haddon matrix. In fact, it examined the factors contributing to the occurrence of road accidents at several urban black spots within District 1. Relying on road safety checklists and survey of experts, this study made an ef...

Public Transport Vs Private Transport

16 • IATSS RESEARCH Vol.27 No.2, 2003 THE ATTRACTIVENSS AND EFFICIENCY OF PUBLIC TRANSPORT – Is It Affected by the Nature of Ownership? – Corinne MULLEY John D. NELSON Senior Lecturer in Transport Economics Senior Lecturer in Public Transport Systems Transport Operations Research Group (TORG) Transport Operations Research Group (TORG) School of Civil Engineering and Geosciences School of Civil ...

Public transport fleet scheduling for minimizing total transfer waiting time

Public transportation has been one of the most important research fields in the two last decades. The purpose of this paper is to create a schedule for public transport fleets such as buses and metro trains with the goal of minimizing the total transfer waiting time. We extend previous research works in the field of transit schedule with considering headways of each route as decision variables....