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Analysis of the relationship between internet usage and allocation of time for personal travel and out of home activities: Case study of Scotland in 2005/6

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Abstract

There is much debate among transportation researchers, practitioners, and policymakers regarding how the opening up of the online world is impacting on people's physical spatio-temporal patterns. This paper presents a novel analysis of the relationship between internet usage and time use, with time spent traveling (during the course of a 24-h day) and aggregate time spent at out-of-home activities analyzed separately. The empirical analysis draws on the Scottish Household Survey, which contains a unique combination of a one-day travel diary paired with a pseudo-diary of online behavior that captures three distinct dimensions of internet activity: the amount of time that respondents spend online per week, the types of tele-activities that they perform, and where they access the internet. The empirical findings include both ceteris paribus statistical association of specific dimensions of internet usage and aggregate (multi-dimensional) relationships. The latter suggest that (in the context of this dataset), internet usage correlates positively, net of confounding effects, with both time spent traveling and time spent at out-of-home activities.

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... At the conceptual level, experts agree upon four ways by which ICT may influence activity and travel choice: substitution (replacement of actual activity with the virtual one), complementarity (generation of further need for travel due to the use of ICT), modification (modifying the travel that would not emerge without ICT), and neutrality (no influence) (Ben-Elia et al., 2014;Mokhtarian, 2003). Among these, views supporting substitution and complementarity effects have a dominant share among transportation scholars (Le Vine et al., 2016). These four types of effects may not be mutually exclusive (Mokhtarian et al., 2006). ...
... Even if previous studies account for the links between social media use, teleconferencing, distance learning, etc. and their travel-based counterparts (Dong et al., 2018;Mokhtarian, 2003), the only two ICT related activity durations we can pull from data were related to teleworking and online shopping. In addition to the key variables, we controlled for sociodemographics, personal attitudes, and built environment factors that were usually used as controls in the previous studies (Chakrabarti, 2018; Le Vine et al., 2016;Shin, 2019). The built environment variables we used cover land-use mixture, frequency of transit services during peak hours, pedestrian-oriented intersection density, and regional growth center designation. ...
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There has been a growing interest in the association between online activities and daily activity-travel patterns. An analysis of this relationship is even more crucial considering the major disruptions to out-of-home activity participation and travel due to the COVID-19 pandemic. This study contributes to the literature by exploring the relationships between Information and Communication Technology (ICT) use (focusing on telework and online shopping) and time spent traveling using different transportation modes. Using Tobit regression models, we investigate the impacts of ICT use on three travel alternatives: (1) automobile, (2) public transit, and (3) active travel. The results show that the effects of ICT use vary across these three travel modes. For example, all else being equal, respondents with higher durations of telework tend to spend less time on auto and transit. Respondents with higher durations of online shopping spend more time walking and bicycling. This study also explores whether the effects of ICT use on travel durations vary across groups with different socio-demographics and residential location characteristics. For instance, the study finds the greater the level of land-use mixture, the stronger the association between online shopping and time spent bicycling and walking. The research findings can inform planners and decision-makers on the relationships between ICT use and overall travel behavior in order to assess travel demand under different levels of ICT use.
... Due to the rapidly-changing nature of ICT, many of these studies took place before the proliferation of social media and smartphones. Instead, researchers have had to rely on imprecise proxies such as household internet penetration (Sivak and Schoettle, 2012) or some combination of total internet use, email and online chatting (Kenyon, 2010;Le Vine et al. 2014a, 2014b, 2016. ...
... In addition, the dependent variables of these studies tend to cover broad indicators of travel behaviour such as distance driven (Le Vine et al., 2014a), out-of-home activity (Le Vine et al., 2016), driver licensing (Sivak and Schoettle, 2012;Le Vine et al., 2014b) and even the impact on peak car (van Wee, 2015). ...
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In an era of rapidly-expanding social media and smartphone use, there is much interest in understanding the impact that information and communication technology (ICT) can have on travel behaviour. In particular, some have conjectured that the prevalence of social media use among the millennial generation may be partially responsible for a shift away from car driving and toward more sustainable travel modes. This paper uses a purpose-designed survey to examine the relationship between physical and virtual social interaction. It quantified the frequency of interaction with members of one's social network through telephone, email, texting and social media and explored the association with face-to-face social interaction. Multiple regression and structural equation modelling revealed that in general, more frequent ‘virtual’ interaction was associated with more frequent face-to-face interaction, not less, even after controlling for income, age, gender, extroversion, and other covariates. The relationships differed in strength across different age groups; notably, social media interaction was only associated with face-to-face interaction amongst 18–29 year olds. This provides no evidence to support the hypothesis that social media use is reducing travel demand amongst the younger generation.
... Current studies show mixed results on overall ICT usage and travel behavior. While some studies have found that smartphone apps and Internet use complement daily travel (Kroesen and Handy, 2015;Le Vine et al., 2016;Srinivasan and Reddy Athuru, 2004;Wang and Law, 2007), others have shown no significant relationship between ICT use and daily travel (Kong et al., 2020), or a slightly stronger substitutional effect between the two (Konrad and Wittowsky, 2018). ...
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... They concluded that social media use could not reduce travel demand among younger people. In addition, Vine et al., (2016) indicated that internet usage correlated positively with time spent at out-of-home activities and travelling. Finally, it should be noted that new theoretical and methodological advances are employed for discussing the interrelationship between ICT, activity, time use and mobility (Ben-Elia et al., 2018). ...
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This paper highlights key questions regarding information and communication technology that have the greatest potential for collaborative and comparative research between the US and Europe. The paper begins with a brief summary of information and communication technology relevant to transportation and of key differences in the US and Europe that make collaborative and comparative research rewarding. It then turns to an analysis of the impact of information and communication technology on travel behavior, i.e. transportation use broken down by type of activity. Finally, potential research questions regarding the impact of information and communication technology on industrial organization, spatial form, and transportation networks are examined.
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The Internet is a critically important research site for sociologists testing theories of technology diffusion and media effects, particularly because it is a medium uniquely capable of integrating modes of communication and forms of content. Current research tends to focus on the Internet’s implications in five domains: 1) inequality (the “digital divide”); 2) community and social capital; 3) political participation; 4) organizations and other economic institutions; and 5) cultural participation and cultural diversity. A recurrent theme across domains is that the Internet tends to complement rather than displace existing media and patterns of behavior. Thus in each domain, utopian claims and dystopic warnings based on extrapolations from technical possibilities have given way to more nuanced and circumscribed understandings of how Internet use adapts to existing patterns, permits certain innovations, and reinforces particular kinds of change. Moreover, in each domain the ultimate social implications of this new technology depend on economic, legal, and policy decisions that are shaping the Internet as it becomes institutionalized. Sociologists need to study the Internet more actively and, particularly, to synthesize research findings on individual user behavior with macroscopic analyses of institutional and political-economic factors that constrain that behavior.
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