Social networks, ICT use and activity-travel patterns. Data collection and first analyses

Conference Contribution

Berg, van den, P.E.W., Arentze, T.A. & Timmermans, H.J.P. (2008). Social networks, ICT use and activity-travel patterns. Data collection and first analyses. DDSS, 9th International Conference on Design & Decision, 7-10 July 2008 - The Netherlands (pp. 1-16). In Scopus Cited 50 times. Read more: Medialink/Full text

Abstract

 

New information and communication technologies (ICT’s), gain importance

and are changing people’s daily lives. With the introduction of new ICT’s,

alternatives for face-to-face contacts and physical presence are provided. In

that sense, ICT may offer a substitute to physical travel. Other potential

relationships between telecommunication and travel are neutrality,

complementation or modification. The relationship between ICT and activitytravel

patterns has received a substantial amount of attention recently.

However, a link with the wider activity patterns of individuals and households

and environmental characteristics is missing in existing studies. The spatial

and mobility impacts of social networks are not well known either. However,

social networks are crucial to an understanding of travel behaviour. The most

important part of travel demand for non-work purposes in terms of distance

travelled is for socializing with network members. Hence, individuals’ social

network characteristics are relevant for their propensity to perform social

activities. The study of social networks can provide new insights to understand

the generation of social activities and travel involved. In order to increase our

understanding of the interrelationships between properties of the built

environment, ICT-use, social networks and activity-travel patterns, these links

should be the starting point for analysis. This paper presents a data collection

instrument that was developed to study these links and the results of an

application of the instrument in a survey among a large sample of households

in the Eindhoven region, and discusses the implications of the findings for

planning support models.