Affiliation:
1. Delft University of Technology, Delft, The Netherlands
2. University of Hamburg, Hamburg, Germany
Abstract
The COVID-19 pandemic poses an unprecedented challenge for public transport systems. The capacity of transport systems has been significantly reduced because of the social distancing measures. Therefore, new avenues to increase the resilience of public urban mobility need to be explored. In this work, we investigate the integration of bike sharing and public transport systems to compensate for limited public transport capacity under the disruptive impacts of the COVID-19 pandemic. As a first step, we develop a data analysis model to integrate the demand of the two underlying systems. Next, we build an optimization model for the design and operation of hybrid mixed-fleet bike sharing systems. We analyze the case of the subway and public bike sharing systems in Milan to assess this approach. We find that the bike sharing system (in its current state) can only compensate for a minor share of the public transport capacity, as the needs in fleet and station capacity are very high. However, the resilience of public urban mobility further increases when new design concepts for the bike sharing system are considered. An extension to a hybrid free-floating bike and docked e-bike system doubled the covered demand of the system. An extension of the station capacity of about 37% yields an additional increase of the covered demand by 6.5%–7.5%. On the other hand, such a hybrid mixed-fleet bike sharing system requires many stations and a relatively large fleet to provide the required mobility capacity, even at low demand requirements.
Subject
Mechanical Engineering,Civil and Structural Engineering
Reference43 articles.
1. WHO. Rolling Updates on Coronavirus Disease (COVID-19). 2020. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/events-as-they-happen. Accessed June 18, 2020.
2. How COVID-19 and the Dutch ‘intelligent lockdown’ change activities, work and travel behaviour: Evidence from longitudinal data in the Netherlands
3. The effect of COVID-19 and subsequent social distancing on travel behavior
4. Early mandated social distancing is a strong predictor of reduction in peak daily new COVID-19 cases
5. ITF-OECD. Covid-19 Transport Brief: Re-Spacing our Cities for Resilience. 2020. https://www.itf-oecd.org/sites/default/files/respacing-cities-resilience-covid-19.pdf.
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