TY - GEN
T1 - Big data technologies in support of real time capturing and understanding of electric vehicle customers dynamics
AU - Qiu, Robin G.
AU - Wang, Katie
AU - Li, Shan
AU - Dong, Jin
AU - Xie, Ming
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/10/21
Y1 - 2014/10/21
N2 - Energy overconsumption and greenhouse gas emission have been contributing to air pollutions and the global warming for years. The unceasingly increasing number of fossil fuels based vehicles around the world is considered as one of main factors making to the situation worse year by year. Electric vehicles (EV) are promoted as a viable and promising alternative transportation means for customers. However, there is an array of issues hindering EVs from the fast adoption in the global auto market. As these issues bear different priorities that surely vary with marketplaces, it becomes essential for EV makers and governments to capture and understand the dynamics of EV consumers in real time. This paper explores how the emerging big data technologies can be applied to facilitate the process of deciphering the acceptance and behavior of EV customers from marketplace to marketplace. A data-collecting web system is discussed. IBM BigInsights platform technologies, including Hadoop, Streams, SPSS modeler and text analytics, are utilized for looking into the insights of collected data. Examples are provided to show the promising future of big data technologies in the field of customer analytics in today's globalized economy.
AB - Energy overconsumption and greenhouse gas emission have been contributing to air pollutions and the global warming for years. The unceasingly increasing number of fossil fuels based vehicles around the world is considered as one of main factors making to the situation worse year by year. Electric vehicles (EV) are promoted as a viable and promising alternative transportation means for customers. However, there is an array of issues hindering EVs from the fast adoption in the global auto market. As these issues bear different priorities that surely vary with marketplaces, it becomes essential for EV makers and governments to capture and understand the dynamics of EV consumers in real time. This paper explores how the emerging big data technologies can be applied to facilitate the process of deciphering the acceptance and behavior of EV customers from marketplace to marketplace. A data-collecting web system is discussed. IBM BigInsights platform technologies, including Hadoop, Streams, SPSS modeler and text analytics, are utilized for looking into the insights of collected data. Examples are provided to show the promising future of big data technologies in the field of customer analytics in today's globalized economy.
UR - http://www.scopus.com/inward/record.url?scp=84910031254&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84910031254&partnerID=8YFLogxK
U2 - 10.1109/ICSESS.2014.6933559
DO - 10.1109/ICSESS.2014.6933559
M3 - Conference contribution
AN - SCOPUS:84910031254
T3 - Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS
SP - 263
EP - 267
BT - Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS
A2 - Prasad Babu, M. Surendra
A2 - Wenzheng, Li
A2 - Tsui, Eric
PB - IEEE Computer Society
T2 - 2014 5th IEEE International Conference on Software Engineering and Service Science, ICSESS 2014
Y2 - 27 June 2014 through 29 June 2014
ER -