Bringing new types of data closer into practice in transport planning and modelling

Time: Mon 2017-10-16 09.30 - 17.00

Location: D3, Lindstedtsvägen 5, Floor 3, KTH Campus

In the last decade, there has been increase of interest and effort in utilizing new and richer type of data (or commonly called as “Big Data”) in transport analysis and modelling. In many cases it was motivated with a decreasing of response rate for traditional travel diary collection methods and the need to reduce the cost by utilizing widely available new mobile technologies. At some other cases it was motivated by the need for a more accurate spatio-temporal description of how people travel over longer periods of time or because of the new revelation of transport as a service. Drawing and utilizing insights from this ubiquitous data, however, remains a challenge due to fast moving technologies, its unprecedented degrees of heterogeneity and lack of theoretical underpinning. Furthermore, with the increase of data type and depth involve, the data management and the security and privacy issues of the users are becoming a serious concern of various different authorities.
In an effort to bring these types of data closer to practical use in transport planning and analyses, this workshop will discuss three following topics: 1) the current use of travel diary in the Swedish transport research and practice, 2) GPS, GSM, accelerometer, and fusion data analysis, and 3) security, privacy, and practical issues in collecting and utilising the big data in practice.
This workshop is expected to understand better the challenges and opportunities of new type of data that are not usually found in traditional data analysis problems, and to further push the feasibility of integrating this new type of data to improve transport planning and modelling framework in Sweden

To register, please contact Lennart Leo ( lennart.leo@abe.kth.se) before 3 October 2017.

More information: Workshop on big data

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2017-10-16T09:30 2017-10-16T17:00 Bringing new types of data closer into practice in transport planning and modelling Bringing new types of data closer into practice in transport planning and modelling
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