Implementing a Mobility Platform to Connect Hubs in Rural Areas

Authors: E. Neidhardt

Abstract:

Mobility, for many people, is an important factor in the satisfaction of daily needs and many people are dependent on public transport. In rural areas with a low population density, it is difficult to provide public transportation with sufficient coverage and frequency. Therefore, the available public transport is unattractive. As a result, people use their own car, which is not desirable from a sustainable point of view and not possible for children and elderly people. Sometimes people organize themselves and volunteer transport services are created. These services are similar to demand-oriented taxis. However, these transport services are usually independent from each other and from the available line-based public transport, limiting both their usability and sustainability. We have developed a platform to improve usability and sustainability by connecting the different demand-oriented transport offerings with the line-based public transport. The system was implemented and tested in a rural area in Germany, but the SARS-CoV-2 pandemic limited real live operation.

Keywords: demand-oriented, HubChain, living lab, public transport

References:

[1] U. Schneidewind and K. Borschert. „Wissenschaft für Nachhaltigkeit - Herausforderung und Chance für das baden-württembergische Wissenschaftssystem“, Stuttgart, 2013
[2] J. Berg and J. Ihlström, “The Importance of Public Transport for Mobility and Everyday Activities among Rural Residents”, (S. Sciences, Ed.) Open Access Journal, vol. 8(2), 2019, pp. 1-13.
[3] P. Bakker, “Large scale Demand Responsive Transit Systems - A Local Suburban Transport Solution for the Next Millennium?” in Proceedings of European Transport Conference, Stream: Public Transport Planning and Management, 1999
[4] M. P. Enoch, S. Potter, G. P. Parkhurst, M. Smith, „Why do Demand Responsive Transport Systems fail?” in 85th annual meeting of the TRB, 2006
[5] E. Neidhardt and A. Sauerländer-Biebl, “Provisioning a demand-orientated bus system for public transportation”, 15th World Conference on Transport Research. Mumbai, 2018
[6] L. C. T. Tcheumadjeu, S. Ruppe, “Traffic Data Platform based on the Service Oriented Architecture (SOA)”, 12th World Conference on Transport Research (WCTR), 2010, Lissabon.
[7] Stadtwerke Osnabrück AG., „Hub Chain project“, https://www.hubchain.de/aktuelles/, 2021
[8] “Apache ActiveMQ”, http://activemq.apache.org, 2019
[9] “SUMO, Simulation of Urban Mobility”, https://sumo.dlr.de/index.html, 2019
[10] „Internet Protokoll basierte Kommunikationsdienste im ÖV - Das Projekt IP-KOM-ÖV“, https://www.vdv.de/ip-kom-oev.aspx, 2020
[11] Q. Tang and E. Neidhardt, “Simulation-based method of a dynamicalon-demand transportationproblem” in Proceedings of WTC 2019, 3rd World Transport Convention, Beijing, 2019
[12] Marco Dorigo and L. M. Gambardella, “Ant colony system: a cooperative learning approach to the traveling salesman problem” in IEEE Transactions on Evolutionary Computation vol.1, 1997, pp. 53 - 66
[13] E. Neidhardt, “Eine Mobilitätsplattform für den bedarfsorientierten Verkehr”, unpublished