Abstract
Public transport operations are subject to inherent uncertainties. In the era of Advanced Public Transport Systems (APTS), operators can collect, process and analyze real-time system conditions as well as deploy real-time operations management strategies. Proactive service management requires operators to continuously monitor service performance and assess the implications of alternative interventions by forecasting and simulating how the system will evolve under various scenarios. Operations management decisions need to consider the prevailing and evolving supply and demand uncertainties as well as the capability of both service provider and service users to adapt to changing conditions. Despite the importance of considering these interactions, there is a pronounced division in the public transport modelling sphere between public transport operations and public transport
Original language | English |
---|---|
Title of host publication | Modelling Intelligent Multi-Modal Transit Systems |
Editors | A. Nuzzolo, W.H.K. lam |
Publisher | CRC Press |
Pages | 108-129 |
ISBN (Electronic) | 9781315368986 |
ISBN (Print) | 9781498743532 |
DOIs | |
Publication status | Published - 2016 |