Data-Driven Computation of the Accessibility Provided by Demand-Responsive Transport
Pierfrancesco Leonardi, Vincenza Torrisi, Andrea Araldo, Matteo, Ignaccolo

TL;DR
This paper introduces a novel data-driven method to quantify the accessibility benefits of integrating Demand-Responsive Transport with conventional public transit, highlighting increased and more equitable access to opportunities.
Contribution
It proposes a new approach to measure accessibility in DRT systems, overcoming the challenge of modeling dynamic routes, and demonstrates its effectiveness through a case study in Italy.
Findings
DRT significantly increases accessibility compared to traditional bus lines.
Accessibility distribution becomes more equitable with DRT deployment.
The method enables planners to focus on accessibility improvements.
Abstract
Conventional Public Transport (PT) cannot support the mobility needs in weak demand areas. Such areas could be better served by integrating, within PT, Demand-Responsive Transport (DRT), in which bus routes dynamically adapt to user demand. While the literature has focused on the level of service of DRT, it has overlooked its contribution to accessibility, which measures the ease of accessing opportunities (e.g, schools, jobs, other residents). Therefore, the following simple question remains unanswered: How many additional opportunities per hour can be reached when DRT is deployed? However, no method exists to quantify the accessibility resulting from the integration of conventional PT and DRT. We propose a novel method to compute isochrone-based accessibility. The main challenge is that, while accessibility isochrones are computed on top of a graph-model of the transport system, no…
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Taxonomy
TopicsUrban and Freight Transport Logistics · Smart Parking Systems Research · Transportation and Mobility Innovations
