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    <title>Schoebel, A.</title>
    <link>http://repub.eur.nl/res/aut/16240/</link>
    <description>List of Publications</description>
    <language>en</language>
    <image>
      <url>http://repub.eur.nl/static-eur/img/logo.png</url>
      <title>RePub, Erasmus University Rotterdam</title>
      <link>http://repub.eur.nl</link>
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    <item>
      <title>Editorial on Optimization in Public Transport
 (Article)</title>
      <link>http://repub.eur.nl/res/pub/31538/</link>
      <pubDate>2012-02-01T00:00:00Z</pubDate>
      <description>An increasing need for mobility in a society with limited resources calls for efficient and energy-friendly transport systems. It is widely agreed that the environmental impact of ever increasing transport volumes can be significantly reduced by shifting the demand from private transport modes to more environmentally-friendly public transport systems. These systems can help to reduce road congestion, and contribute to reductions in air pollution, noise, or impact on nature. Aiming at an increased market share of public transport systems, it is important to design these systems such that they reflect the mobility needs of the population. In particular, in order to be able to attract car drivers into the public transport system, the service level and reliability provided by the latter must be increased significantly.

</description>
    </item> <item>
      <title>Delay management with rerouting of passengers (Article)</title>
      <link>http://repub.eur.nl/res/pub/37693/</link>
      <pubDate>2012-02-01T00:00:00Z</pubDate>
      <description>The question of delay management (DM) is whether trains should wait for a delayed feeder train or should depart on time. In classical DM models, passengers are assumed to take their originally planned routes. After the wait-depart decisions are made, passengers will certainly change to the best-possible route according to these decisions. In this paper, we propose a model where such a rerouting of passengers is incorporated in the DM process. To describe the problem, we represent it as an event-activity network similar to the one used in classical DM, with some additional events to incorporate origin and destination of the passengers. We present an integer programming formulation of this problem. Furthermore, we discuss the variant in which we assume fixed costs for maintaining connections, and we present a polynomial algorithm for the special case of only one origindestination pair that we later use to derive a strong lower bound for the integer program. Finally, computational experiments based on real-world data from Netherlands Railways show that significant improvements with respect to the passengers' traveling times can be obtained by taking the rerouting of passengers into account in the model. </description>
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