Demand-Responsive Transport (DRT) is one of the most valid solutions to tackle the problems affecting public transport today, both in urban and rural areas. Despite its undoubted advantages, it still remains underdeveloped compared to its great potential. The purpose of this paper is to understand the role that on-demand transport plays in the strategic choices of public transport authorities (PTAs): to this end, this study examined the DRT services of three geographically distant European cities, in order to test different social, cultural and regulatory backgrounds, examining their main characteristics. Tampere, Braunschweig and Genoa were selected for the purposes of this work; data and information were collected by viewing the official websites of public transport companies and by direct contact via mail/telephone with the managers responsible for on-call transport. The data collected were then analyzed based on specific Key Performance Indicators (KPIs) identified in academic literature. The results of this paper show that the role of on-call service in the strategic decisions of PTAs depends on the cultural context of reference; some cities focus more on urban services, others on rural transport. In all three case studies examined, on-demand transport is an important aspect of local mobility and with wide room for growth.
This manuscript is based on cooperation between the universities in Tampere, Finland and Braunschweig, Germany. New tram lines are being built or extended in both cities to provide better connections to public transportation and increase accessibility. This research presents case studies from each city that have successfully increased public transport (PT) ridership during recent years. The aim of this study is to compare and analyse the effects of tram expansion projects in Tampere and Braunschweig from the public transport network users’ viewpoint. These cities were selected because they are of similar size in terms of population and have similar modal shares of PT. Changes in accessibility to the city centres were analysed considering the tramline extensions. This was determined by calculating the travel time differences of the current network and the future network for both cities. For this total travel time, the ArcGIS Pro Service Area Tool was used to calculate the time taken to reach every grid of the investigation areas. The results vary due to the tram expansion and changes in the existing bus network.
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