Bigdata 2016 - Special Issue: Smart cards, big data and travel behaviour

Special Issue: Smart cards, big data and travel behaviour
Guest Editors:
Jonathan Corcoran, The University of Queensland, jj.corcoran-AT-uq.edu.au
Mark Hickman, The University of Queensland, m.hickman1-AT-uq.edu.au
Jiwon Kim, The University of Queensland, jiwon.kim-AT-uq.edu.au
Yan Liu, The University of Queensland, yan.liu-AT-uq.edu.au
Introduction
Understanding the spatio-temporal patterns of people’s travel behaviour is a key research endeavour in transport studies. Data captured through traditional survey methods have long served as the major data source through which travel behaviour has been examined. Yet, it is recognised that such survey data have major drawbacks that include high collection costs and small sample sizes. There is an increasing trend toward the use of devices such as smart phones and smart cards. This trend automatically leaves an ever growing body of information tracing people’s activities in both space and time. Such information, or ‘big data’, has been widely recognised as a novel data source offering new opportunities to investigate and understand spatio-temporal patterns of travel behaviour, at a level of detail previously unattainable through traditional survey data.
Despite the growing interest in applications of ‘big data’, their utility has arguably yet to be fully realised in transport research, wherein many opportunities and challenges remain. Challenges persist in the augmentation of conventional statistical methods such that they are able to analyse ‘big data’. In addition, techniques are needed that are able to infer important information in addition to spatial and temporal patterns, including trip purpose, personal characteristics, and socio-economic, environmental and contextual factors influencing people’s trip-making. In this context, a focused discourse on ‘big data’ from smart cards and its applications in analysing travel behaviour is needed.
This special issue will focus on the methods and tools used to analyse smart card data and on the resulting analysis of travel behaviour. Topics of interest include, but are not limited to:
? Statistical methods of analysing smart card data
? Big data analytics for smart card data
? Integration of smart card data with other behavioural data
? Integration of smart card data with socio-economic, environmental, and/or other contextual data sources to understand travel behaviour
? Passenger level-of-service attributes and evaluation using smart card data
? Trip purpose or activity inference using smart card data
? Origin-destination-, tour-, and trip-making patterns from smart card data
? Temporal dynamics of travel behaviour from smart card data
? Empirical analysis of mode, tour, or path choice
? Empirical analysis of waiting and transfer behaviour
? Behavioural changes over time observed from smart card data
Submission Method
For this special issue, authors are encouraged to use Elsevier’s online multimedia tools and submit supplementary materials such as simulation code and data, video, and AudioSlides along with their manuscripts. All submissions will go through the journal’s standard peer-review process. For guidelines to prepare your manuscript and for manuscript submission, please visit http://ees.elsevier.com/trc. When submitting your manuscript, please choose “SI: Smart Cards” for “Article Type”. This is to ensure that your submission will be considered for this special issue instead of being handled as a regular paper.
Important Dates
Submission website opens: December 15, 2015
Submission of full paper due: February 29, 2016
Feedback from first-round reviews: July 1, 2016
Feedback from second-round reviews (if indicated): October 31, 2016
Final manuscripts due: December 15, 2016
Planned publication: 2017
Inquiries
All inquiries regarding this call for papers should be directed to Guest Editors or to the Editor-in-Chief, Dr. Yafeng Yin (yafeng-AT-ce.ufl.edu).