Money on the Move: Big Data of Bank Card Transactions as the New Proxy for Human Mobility Patterns and Regional Delineation. The Case of Residents and Foreign Visitors in Spain

被引:36
作者
Sobolevsky, Stanislav [1 ]
Sitko, Izabela [2 ]
des Combes, Remi Tachet [1 ]
Hawelka, Bartosz [2 ]
Murillo Arias, Juan [3 ]
Ratti, Carlo [1 ]
机构
[1] MIT, SENSEable City Lab, Cambridge, MA 02139 USA
[2] Salzburg Univ, Dept Geoinformat Z GIS, A-5020 Salzburg, Austria
[3] New Technol, BBVA, Madrid, Spain
来源
2014 IEEE INTERNATIONAL CONGRESS ON BIG DATA (BIGDATA CONGRESS) | 2014年
关键词
big data; bank card transactions; regional delineation; human mobility; network analysis;
D O I
10.1109/BigData.Congress.2014.28
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Increasing availability of big data, which documents human activity in space and time, offers new solutions to well-known operational problems. Recent studies have demonstrated how topological community detection in large- scale networks of human interactions and mobility can produce geographically cohesive regions, which are meaningful for the regional division of countries. So far, those networks have mainly been built based on the country- wide datasets of telephone calls, typically available for residents of a country. However, it is natural to expect that foreign visitors explore a country in a different way, with patterns that vary depending on nationality. Understanding those differences can be of a great importance for the touristic industry and transportation planning. In this study, we demonstrate the potential of a new type of extensive data, namely bank card transactions executed in a variety of businesses by the domestic and foreign customers of a Spanish bank. We confirm applicability of this data to the regional delineation inline with other datasets and reveal new opportunities related to the distinction of customers by their origin. We point out the important differences between the optimal regional structure derived from the mobility of residents and of foreign visitors. The definition of the mobility network appears to be a crucial component of the methodology, and is potentially sensitive to the dataset being used. While a reasonable comparison of results obtained based on different data of course requires the consistency of such definition. We propose a novel, consistent way of constructing mobility networks using transactional data; a way transposable to a variety of other datasets. Finally, we perform a quantitative study of the impact of tourists' nationality on their mobility behavior. We find a surprisingly consistent trend between the distance from a given country to Spain, and the mobility characteristics of visitors coming from this country, i. e. the parameters of the gravity model estimation.
引用
收藏
页码:136 / 143
页数:8
相关论文
共 27 条
[1]  
Amini A., 2014, ARXIV14015743
[2]  
[Anonymous], 2006, NETWORKS COMMUNICATI
[3]   The potential of public transport smart card data [J].
Bagchi, M ;
White, PR .
TRANSPORT POLICY, 2005, 12 (05) :464-474
[4]  
Blondel V., 2011, VOICE BORDER DO CELL
[5]  
Blondel V., 2010, BRUSSELS STUDIES
[6]  
Calabrese F., 2011, Proceedings of the 2011 IEEE Third International Conference on Privacy, Security, Risk and Trust and IEEE Third International Conference on Social Computing (PASSAT/SocialCom 2011), P223, DOI 10.1109/PASSAT/SocialCom.2011.247
[7]   Uncovering space-independent communities in spatial networks [J].
Expert, Paul ;
Evans, Tim S. ;
Blondel, Vincent D. ;
Lambiotte, Renaud .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2011, 108 (19) :7663-7668
[8]   Community detection in graphs [J].
Fortunato, Santo .
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2010, 486 (3-5) :75-174
[9]   Happiness and the Patterns of Life: A Study of Geolocated Tweets [J].
Frank, Morgan R. ;
Mitchell, Lewis ;
Dodds, Peter Sheridan ;
Danforth, Christopher M. .
SCIENTIFIC REPORTS, 2013, 3
[10]   Digital Footprinting: Uncovering Tourists with User-Generated Content [J].
Girardin, Fabien ;
Blat, Josep ;
Calabrese, Francesco ;
Dal Fiore, Filippo ;
Ratti, Carlo .
IEEE PERVASIVE COMPUTING, 2008, 7 (04) :36-43