Big Data Analytics

A Case Study of Public Opinion Towards the Adoption of Driverless Cars

Rasmus Brødsgaard Buch, Samaneh Beheshti-Kashi, Thomas Alexander Sick Nielsen, Aseem Kinra

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

With the growth of textual data and the simultaneous advancements in Text Analytics enabling the exploitation of this huge amount of unstructured data, companies are provided with the opportunity to tap into the previously hidden knowledge. However, how to use this valuable source, still is not unveiled for various domains, such as also for the transportation sector. Accordingly, this research aims at examining the potential of textual data in transportation. For this purpose, a case study was designed on public opinion towards the adoption of driverless cars. This case study was framed together with the Danish road directorate, which is, in this case, the problem owner. Traditionally, public opinion is often captured by means of surveys. However, this paper provides demonstrations in which public opinion towards the adoption of driverless cars is examined through the exploitation of newspaper articles and tweets using topic modelling, document classification and sentiment analysis. These analyses have for instance shown that Text Analytics may be a supplementary tool to surveys, since they may extract additional knowledge which may not be captured through the application of surveys. In this case, the Danish Road Directorate can use these result to supplement their strategies and expectations towards the adoption of driverless cars by incorporating the public’s opinion more carefully.
Original languageEnglish
Title of host publicationDynamics in Logistics : Proceedings of the 6th International Conference LDIC 2018, Bremen, Germany
EditorsM. Freitag, H. Kotzab, J. Pannek
Number of pages5
Place of PublicationCham
PublisherSpringer
Publication date2018
Pages347-351
ISBN (Print)9783319742243
ISBN (Electronic)9783319742250
DOIs
Publication statusPublished - 2018
EventThe 6th International Conference on Dynamics in Logistics. LDIC 2018 - Bremer Institut für Produktion und Logistik, Bremen, Germany
Duration: 20 Feb 201822 Feb 2018
Conference number: 6
http://www.ldic-conference.org/

Conference

ConferenceThe 6th International Conference on Dynamics in Logistics. LDIC 2018
Number6
LocationBremer Institut für Produktion und Logistik
CountryGermany
CityBremen
Period20/02/201822/02/2018
Internet address

Cite this

Buch, R. B., Beheshti-Kashi, S., Nielsen, T. A. S., & Kinra, A. (2018). Big Data Analytics: A Case Study of Public Opinion Towards the Adoption of Driverless Cars. In M. Freitag, H. Kotzab, & J. Pannek (Eds.), Dynamics in Logistics: Proceedings of the 6th International Conference LDIC 2018, Bremen, Germany (pp. 347-351). Cham: Springer. https://doi.org/10.1007/978-3-319-74225-0_47
Buch, Rasmus Brødsgaard ; Beheshti-Kashi, Samaneh ; Nielsen, Thomas Alexander Sick ; Kinra, Aseem. / Big Data Analytics : A Case Study of Public Opinion Towards the Adoption of Driverless Cars. Dynamics in Logistics: Proceedings of the 6th International Conference LDIC 2018, Bremen, Germany. editor / M. Freitag ; H. Kotzab ; J. Pannek. Cham : Springer, 2018. pp. 347-351
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title = "Big Data Analytics: A Case Study of Public Opinion Towards the Adoption of Driverless Cars",
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Buch, RB, Beheshti-Kashi, S, Nielsen, TAS & Kinra, A 2018, Big Data Analytics: A Case Study of Public Opinion Towards the Adoption of Driverless Cars. in M Freitag, H Kotzab & J Pannek (eds), Dynamics in Logistics: Proceedings of the 6th International Conference LDIC 2018, Bremen, Germany. Springer, Cham, pp. 347-351, Bremen, Germany, 20/02/2018. https://doi.org/10.1007/978-3-319-74225-0_47

Big Data Analytics : A Case Study of Public Opinion Towards the Adoption of Driverless Cars. / Buch, Rasmus Brødsgaard; Beheshti-Kashi, Samaneh; Nielsen, Thomas Alexander Sick; Kinra, Aseem.

Dynamics in Logistics: Proceedings of the 6th International Conference LDIC 2018, Bremen, Germany. ed. / M. Freitag; H. Kotzab; J. Pannek. Cham : Springer, 2018. p. 347-351.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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AU - Kinra, Aseem

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N2 - With the growth of textual data and the simultaneous advancements in Text Analytics enabling the exploitation of this huge amount of unstructured data, companies are provided with the opportunity to tap into the previously hidden knowledge. However, how to use this valuable source, still is not unveiled for various domains, such as also for the transportation sector. Accordingly, this research aims at examining the potential of textual data in transportation. For this purpose, a case study was designed on public opinion towards the adoption of driverless cars. This case study was framed together with the Danish road directorate, which is, in this case, the problem owner. Traditionally, public opinion is often captured by means of surveys. However, this paper provides demonstrations in which public opinion towards the adoption of driverless cars is examined through the exploitation of newspaper articles and tweets using topic modelling, document classification and sentiment analysis. These analyses have for instance shown that Text Analytics may be a supplementary tool to surveys, since they may extract additional knowledge which may not be captured through the application of surveys. In this case, the Danish Road Directorate can use these result to supplement their strategies and expectations towards the adoption of driverless cars by incorporating the public’s opinion more carefully.

AB - With the growth of textual data and the simultaneous advancements in Text Analytics enabling the exploitation of this huge amount of unstructured data, companies are provided with the opportunity to tap into the previously hidden knowledge. However, how to use this valuable source, still is not unveiled for various domains, such as also for the transportation sector. Accordingly, this research aims at examining the potential of textual data in transportation. For this purpose, a case study was designed on public opinion towards the adoption of driverless cars. This case study was framed together with the Danish road directorate, which is, in this case, the problem owner. Traditionally, public opinion is often captured by means of surveys. However, this paper provides demonstrations in which public opinion towards the adoption of driverless cars is examined through the exploitation of newspaper articles and tweets using topic modelling, document classification and sentiment analysis. These analyses have for instance shown that Text Analytics may be a supplementary tool to surveys, since they may extract additional knowledge which may not be captured through the application of surveys. In this case, the Danish Road Directorate can use these result to supplement their strategies and expectations towards the adoption of driverless cars by incorporating the public’s opinion more carefully.

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PB - Springer

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Buch RB, Beheshti-Kashi S, Nielsen TAS, Kinra A. Big Data Analytics: A Case Study of Public Opinion Towards the Adoption of Driverless Cars. In Freitag M, Kotzab H, Pannek J, editors, Dynamics in Logistics: Proceedings of the 6th International Conference LDIC 2018, Bremen, Germany. Cham: Springer. 2018. p. 347-351 https://doi.org/10.1007/978-3-319-74225-0_47