Collecting Social Network Data to Study Social Activity-Travel Behavior: An Egocentric Approach
This paper presents a data collection effort designed to incorporate the social dimension in social activity-travel behavior by explicitly studying the link between individuals' social activities and their social networks. The main hypothesis of the data collection effort is that individuals...
Saved in:
Published in | Environment and planning. B, Planning & design. Vol. 35; no. 6; pp. 961 - 980 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
London, England
SAGE Publications
2008
Pion Ltd, London |
Series | Environment and Planning B: Planning and Design |
Online Access | Get full text |
Cover
Loading…
Summary: | This paper presents a data collection effort designed to incorporate the social dimension in social activity-travel behavior by explicitly studying the link between individuals' social activities and their social networks. The main hypothesis of the data collection effort is that individuals' travel behavior is conditional upon their social networks; that is, a key cause of travel behavior is the social dimension represented by social networks. With this hypothesis in mind, and using survey and interview instruments, the respondents' social networks are collected using an egocentric approach that is constituted by the interplay between their individual social structures and their social activity behavior. More explicitly, individuals' networks are a context within which to elicit social activity-travel generation, spatial distribution, and information communication and technology use. The resultant dataset links aspects, in novel ways, that have been rarely studied together, and provides a sound base of theory and method to study and potentially give new insights about social activity-travel behavior. |
---|---|
Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 0265-8135 1472-3417 |
DOI: | 10.1068/b3317t |