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ISPRS Int. J. Geo-Inf. 2015, 4(3), 1512-1529; doi:10.3390/ijgi4031512

Investigation of Travel and Activity Patterns Using Location-based Social Network Data: A Case Study of Active Mobile Social Media Users

GIScience Research Group, Institute of Geography, Heidelberg University, Berliner Straße 48, Heidelberg 69120, Germany
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Academic Editor: Wolfgang Kainz
Received: 4 May 2015 / Revised: 18 July 2015 / Accepted: 31 July 2015 / Published: 20 August 2015
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Abstract

Due to its relatively high availability and low cost, location-based social network (LBSN) (e.g., Foursquare) data (a popular type of volunteered geographic information) seem to be an alternative or complement to survey data in the study of travel behavior and activity analysis. Illustrating this situation, recently, a number of studies attempted to use LBSN data (e.g., Foursquare check-ins) to investigate patterns of human travel and activity. Of particular note is that compared to other individual-level characteristics of users, such as age, profession, education, income and so forth, gender is relatively highly available in the profiles of Foursquare users. Moreover, considering gender differences in travel and activity analysis is a popular research topic and is helpful in better understanding the changes in women’s roles in family, labor force participation, society and so forth. Therefore, this paper empirically investigates how gender influences the travel and activity patterns of active local Foursquare users in New York City. Empirical investigations of gender differences in travel and activity patterns are conducted at both the individual and aggregate level. The empirical results reveal that there are gender differences in the travel and activity patterns of active local users in New York City at both the individual and aggregate level. Finally, the results of the empirical study and the extent to which LBSN data can be exploited to produce travel diary data are discussed. View Full-Text
Keywords: volunteered geographic information; location-based social network; GIS; travel behavior; activity space; gender difference. volunteered geographic information; location-based social network; GIS; travel behavior; activity space; gender difference.
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Sun, Y.; Li, M. Investigation of Travel and Activity Patterns Using Location-based Social Network Data: A Case Study of Active Mobile Social Media Users. ISPRS Int. J. Geo-Inf. 2015, 4, 1512-1529.

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