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Towards Smart Public Transport Data

Authors:
Paloma Cáceres García de Marina
Almudena Sierra Alonso
Belén Vela Sánchez
José María Cavero Barca
Carlos Enrique Cuesta Quintero

Keywords: -Public transport; accessibility; smart city; open datasets; linked data.

Abstract:
If I was a mother of twins, could I find a route to enable me to get around with my twin baby stroller using public transport? In spite of the relevance of mobility in Smart Cities, there are not many websites or apps with which to generate public transport routes for people with special needs. Of those that do exist, Google Maps is a relevant tool that is employed to calculate routes and find points of interest, while Google Transit Feed Specification (GTFS) is a format used to specify public transport data that allows public transport agents to provide a “feed” complying with this specification. GTFS is employed by Google to calculate a route and represent it on Maps. However, Google Maps does not provide detailed information regarding specific facilities such as accessibility to transit, and GTFS does not specify the structure required to provide that public transport accessibility information. Worse still, it is not easy to find specific and detailed accessibility information that can be downloaded and processed so as to develop services for users. In this work, we propose a systematic method with which to provide accessible public transport datasets in order to improve mobility in Smart Cities. The steps in the process include the extraction of data from the Internet to the generation of open and linked datasets. Moreover, we show a case study in which both datasets for users with special needs and an app prototype that uses those datasets to generate accessible subway routes are developed.

Pages: 66 to 71

Copyright: Copyright (c) IARIA, 2018

Publication date: March 25, 2018

Published in: conference

ISSN: 2519-8378

ISBN: 978-1-61208-622-4

Location: Rome, Italy

Dates: from March 25, 2018 to March 29, 2018