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On the Computation of accessibility provided by shared mobility


Shared Mobility Services (SMS), e.g., Demand-Responsive Transit (DRT) or ride-sharing, can improve mobility in low-density areas, often poorly served by conventional Public Transport (PT). Such improvement is mostly quantified via basic performance indicators, like wait or travel time. However, accessibility indicators, measuring the ease of reaching surrounding opportunities (e.g., jobs, schools, shops, ...), would be a more comprehensive indicator. To date, no method exists to quantify the accessibility of SMS based on empirical measurements. Indeed, accessibility is generally computed on graph representations of PT networks, but SMS are dynamic and do not follow a predefined network. We propose a spatial-temporal statistical method that takes as input observed trips of a SMS acting as a feeder for PT and summarized such trips in a graph. On such a graph, we compute classic accessibility indicators. We apply our method to a MATSim simulation study concerning DRT in Paris-Saclay.
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Dates and versions

hal-04154712 , version 1 (12-07-2023)
hal-04154712 , version 2 (08-08-2023)


  • HAL Id : hal-04154712 , version 2


Severin Diepolder, Andrea Araldo, Tarek Chouaki, Santa Maiti, Sebastian Hörl, et al.. On the Computation of accessibility provided by shared mobility. hEART 2023: 11th Symposium of the European Association for Research in Transportation, Sep 2023, Zurich, Switzerland. ⟨hal-04154712v2⟩
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