WIT Press


Analysis Of The Interaction Between Travel Demand And Rail Capacity Constraints

Price

Free (open access)

Volume

128

Pages

11

Page Range

197 - 207

Published

2012

Size

382 kb

Paper DOI

10.2495/UT120181

Copyright

WIT Press

Author(s)

L. D’Acierno, M. Gallo, B. Montella & A. Placido

Abstract

In urban contexts, the adoption of policies to promote the use of public transport systems represents a useful tool for decision-makers to reduce the environmental impact of private car use. Especially in high-density contexts most travel demand can be satisfied efficiently by means of high-quality rail systems. However, in the event of breakdowns, since faulty trains cannot usually be overtaken and their removal could pose extreme difficulties especially in metropolitan systems with two separate tunnels, re-establishing the regular service could involve inconveniently long travel times. Hence, emergency management has to take into account effects on travel demand. In this framework, we analyse such effects for different levels of degraded services in order to define the best strategy to adopt to minimise user discomfort. We extend ideas proposed elsewhere in the literature by introducing capacity constraints of rail vehicles in order to provide more realistic simulated effects. Finally, we describe the application of the proposed approach in the case of the Naples metro system. Keywords: travel demand analysis, traffic assignment models, capacity constraints, rail passenger systems, public transport management, microsimulation approach. 1 Introduction In any context, the management of transportation systems is a key issue which can affect both life quality and economic development. In large urban agglomerations, an efficient public transport system can help abate the negative externalities of private car use (such as congestion, air and noise pollution,

Keywords

travel demand analysis, traffic assignment models, capacity constraints, rail passenger systems, public transport management, microsimulation approach.