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Opening the search space for the design of a future transport system using ‘big data’
KTH, School of Technology and Health (STH), Health Systems Engineering, Health Care Logistics.
KTH, School of Technology and Health (STH), Health Systems Engineering, Health Care Logistics.
2017 (English)In: 15th International Conference on Computers in Urban Planning and Urban Management, 2017, Springer Berlin/Heidelberg, 2017, Vol. Part F4, 247-261 p.Conference paper (Refereed)
Abstract [en]

The advent of ‘big data’ already enables a wide range of conveniences to citizens. However, the dominant utilization of this data for systematic improvement is geared towards operations such as informing on real-time events in cities. The impact of big data on the long-term planning and design purposes in cities is still unclear. This chapter presents an application of big data where locations, suitable for deploying charging infrastructure for vehicles, are mined. We conducted an experiment to observe the impact of this information on designs of Electrical Road Systems (ERS). Results prove that insights mined from big data outside the design process do influence the designing process and the resulting designs. Therefore it seems promising to further explore this influence on the quality of designing.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2017. Vol. Part F4, 247-261 p.
Keyword [en]
Big data, Design process, Transport system
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:kth:diva-214645DOI: 10.1007/978-3-319-57819-4_14Scopus ID: 2-s2.0-85028673684ISBN: 9783319578187 (print)OAI: oai:DiVA.org:kth-214645DiVA: diva2:1142296
Conference
15th International Conference on Computers in Urban Planning and Urban Management, 2017, Adelaide, Australia, 11 July 2017 through 14 July 2017
Note

QC 20170919

Available from: 2017-09-19 Created: 2017-09-19 Last updated: 2018-01-13Bibliographically approved

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  • Other locale
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