The interaction between ICT and human activity-travel behavior

Kwan, Mei‐Po; Dijst, Martin; Schwanen, Tim

doi:10.1016/j.tra.2006.02.002

Cited by 45 publications

(30 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Many scholars nevertheless argue that increased ICT access and use have modified traditional patterns of activity and travel in time and space (Couclelis 2000;Kwan, Dijst, and Schwanen 2007;Lenz and Nobis 2007;Lyons 2009;Van Wee, Geurs, and Chorus 2013). For example, ICT might relax many traditional spatiotemporal constraints (e.g., commuting to a specific workplace at a specific time), freeing up time for traveling to other activities and possibly stimulating new destination choices based more on personal preferences than geographical proximity.…”

Section: Introductionmentioning

confidence: 99%

Does telework weaken urban structure–travel relationships?

Elldér

2015

JTLU

View full text Add to dashboard Cite

This paper investigates whether urban structure influences daily travel behavior differently when people telework in urban contexts. Regression models are applied to address whether and to what extent travel is associated with various measures of urban structure and key destination accessibility relative to the home location in Gothenburg, Sweden. The analysis treats groups of workers defined by teleworking practices. Micro-level data from the Swedish National Travel Survey 2011 capture individual travel behavior, while Swedish register data on the location of all firms and individuals combined with a GIS-based tool that measures travel times by car or public transport capture urban structure. Results indicate that telework weakens the relationship between urban structure and travel. Regression models of travel distance and time as functions of various geographical aspects of residential location display a much better fit for those not teleworking regularly. Telework allows various mobility strategies that together foster more spatially heterogeneous daily travel behavior, more dependent on personal attributes than on the home location relative to the workplace. Planners and policymakers should monitor whether the number of teleworkers continues to increase. If so, traditional distance-and location-based models and policies for predicting and planning transport may prove less accurate and effective than currently assumed.

show abstract

Section: Introductionmentioning

confidence: 99%

Does telework weaken urban structure–travel relationships?

Elldér

2015

JTLU

View full text Add to dashboard Cite

show abstract

“…The research and the operating results in this field show promising results: the outcomes of approaches for estimating human movements through urban spaces using ICT and mobile phone data (Ahas and Mark 2005;Ratti et al 2006;Kwan et al 2007;Reades et al 2007) have gained ground to the point of being able to identify fine-grained variations in urban movements and information on the real use of cities. These studies, providing a "longitudinal perspective" on the variability in human travel activities (Jarv et al 2014) through geographical mapping of mobile phone usage at different times of the day (Ratti et al 2006), offer interesting representations of the intensity of urban activities and their evolution through space and time.…”

Section: Mobility As a Policy Toolmentioning

confidence: 99%

“…On the evidence of several researches (Ahas and Mark 2005;Ratti et al 2006;Kwan at al. 2007;Reades et al 2007), mobile phone data offer multi-scalar maps to deal with the variability of the relationships, with time-dependent phenomena, with the heterogeneous rhythms of urban practices that are missing from traditional analysis, becoming a support for tracing fuzzy boundaries as perimeters of practices, useful for a "re-territorialization" 7 of urban policies.…”

Section: Towards a Role For Mobile Phone Data In Urban Policymentioning

confidence: 99%

Understanding Mobilities for Designing Contemporary Cities

Pucci¹,

Colleoni²

2016

Research for Development

View full text Add to dashboard Cite

“…First, and directly related to the aims of this paper, it should be noted that the definition used in GvW relates only to physical accessibility. In recent years the impact of ICT on travel behavior and-though not explicitly-accessibility has gained increasing attention, as reflected by the special issue on the interaction between ICT and human activity travel behavior in Transportation Research Part A (for the editorial, see Kwan et al, 2007; see references to papers elsewhere in this paper), and the special issue in the Journal of Transport Geography (Lyons, 2009; see references to papers elsewhere in this paper). Second, progress has been made in the area of the utility-based measures, in particular the logsum-based measures (see De Jong et al, 2007, for an overview).…”

Section: Summarizing Tablementioning

confidence: 99%

Information, communication, travel behavior and accessibility

Wee

Geurs

Chorus

2013

JTLU

View full text Add to dashboard Cite

Abstract:Over the past two decades many papers have been published on the impact of Information and Communication Technologies (ICT) on travel behavior, but the literature focusing on the impact of ICT on accessibility is relatively scarce. In this paper we give an overview of the impact of ICT on four components of accessibility as distinguished by Geurs and van Wee (2004): (1) the land-use component, (2) the transportation component, (3) the temporal component, and (4) the individual component. Conclusions are that first much more literature exists on the potential impacts of ICT on travel behavior than on its impact on accessibility. Second, we argue that ICT potentially has an impact on all four components of the concept of accessibility. Literature exists on the direct impacts but fails to incorporate impacts due to the interactions between the accessibility components. Third, there seems to be a major challenge in developing accessibility measures and indicators that include ICT, including those that measure the utility of accessibility. Fourth, in the area of ICT's impact on travel behavior, many research gaps exist. Examples are the impact of ICT on overall activity and trip patterns, the impact of ICT on activities and trips at the household and social-network level, ICT as a means of avoiding congestion or mitigating its effects, and the role of the phenomenon of self-selection in the context of ICT use. Finally, a major challenge is to develop models for activities, including ICT-impacts, which combine high levels of behavioral realism with (econometric) tractability.

show abstract

The interaction between ICT and human activity-travel behavior

Cited by 45 publications

References 12 publications

Does telework weaken urban structure–travel relationships?

Does telework weaken urban structure–travel relationships?

Understanding Mobilities for Designing Contemporary Cities

Information, communication, travel behavior and accessibility

Contact Info

Product

Resources

About