MATEC Web Conf.
Volume 334, 2021The VI International Scientific and Practical Conference “Information Technologies and Management of Transport Systems” (ITMTS 2020)
|Number of page(s)||9|
|Section||Intelligent Transport Systems|
|Published online||15 January 2021|
Innovative Approach to Sustainable Mobility and Transport Through Big Data From ICT – Pilot Study in Cracow, Poland
Cracow University of Technology, 24 Warszawska str., Krakow, 31-155, Poland
* Corresponding author: email@example.com
New challenges of urban transport are connected to sustainability, the growing urban population globally, life quality and quality of urban environment, reduction of pollution and energy consumption. Sustainable urban mobility is no more dependent only on passenger transport efficiency, but also on transport accessibility of commuting services, acceptable level of comfort, safety and security of urban public transport and many more. Although a huge amount of data are available from modern communication services, the question of how to use those big data efficiently to improve urban mobility is unknown. Positive changes of mobility attitudes and travel behavior of citizens are going slowly, which means that personal motivation do not follow big data availability. This motivation is dependent on quality of public transport offer and services, among which information services are suspected to play a crucial role. Modern ICT methods of transport information delivery are based on Internet and social media, which through commonly used mobile devices are available at every stage of journey. In this article authors try, based on the pilot survey, to check how young Krakow citizens use social media in every day travels and commuting. The overall goal of the author’s study is to answer the question: how to use big data coming from ICT in order to upgrade urban transport sustainability.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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