Revisit: Choice Modelling
Using Emerging Data Sources, Special issue of Journal of Choice Modelling; Deadline now 30 Apr 2018
Please find below the call for papers for a special issue of the Journal of Choice Modelling on Choice Modelling Using Emerging Data Sources. The special issue will include both methodological and applied papers on the innovative use of emerging data sources in various domains of choice modelling ranging from health, consumer choice, transport, etc.
Submission is open from now till April 2018 and the accepted papers will be available online on a rolling basis.
Full details are available below. We are happy to answer any queries you may have.
Charisma Choudhry (firstname.lastname@example.org) and Anita Rao (email@example.com)
Guest Editors for the Special Issue
Choice Modelling Using Emerging Data Sources
Background and Scope:
Choice modellers have traditionally relied on manually collected survey data which are expensive to obtain and thereby generally have limited sample sizes and lower update frequencies. Moreover, such data are prone to reporting errors. On the other hand, over the last decade, passively collected data sources, which are typically very large and commonly termed as ‘Big Data’, have emerged as a very promising source of long, medium and short-term choices. These range from GPS tracks, mobile phone records, credit card transactions, social media data, supermarket scanner and loyalty card data, health records, online browsing information, etc. These passive data sources not only provide information about the choices made in different contexts but also about the attributes of the unchosen alternatives, which is very often not the case in traditional data sources. Further, they also provide useful insights about the decision makers. For instance, social media data provide information about the general likes and dislikes of the user as well details of the characteristics and composition of his/her online social network.
Data sources like these, which are continuously generating invaluable information, have already gained widespread interest among the choice modelling community. However, there are significant challenges associated with utilizing the full potential of these data sources due to the missing information (socio-demographics of the decision maker and his/her choice set for instance), privacy issues, potential biases etc. Further methodological issues often arise due to the sheer volume of the data which challenge the applicability of the same modelling techniques as used in the traditional choice modelling data.
The special issue of Journal of Choice Modelling invites paper both on methodological research on choice modelling using emerging data sources and its applications in various domains of choice modelling ranging from health, consumer choice, transport, etc. Potential topics of interest include (but are not limited to) the following:
- Innovative use of emerging data sources for choice modelling
- Cross comparison of choice models developed using traditional and emerging data sources
- Methodologies to account for the limitations of the emerging data sources
- Application and validation issues of choice models estimated using such data sources
Submission deadline: 15 Jan 2018
Date for full publication: 15 Dec 2018
(the accepted papers will however be available online on a rolling basis)
Charisma Choudhury, Choice Modelling Centre, Institute for Transport Studies, University of Leeds
Anita Rao, The University of Chicago Booth School of Business
Special Issue Submission Guidelines
The submission website for this journal is located at:
To ensure that all manuscripts are correctly identified for inclusion into the special issue, authors should select the name of the special issue when they upload their manuscripts as SI: Emerging Data Sources.