Potential Mobilities Possible basic terminology Kaufmann's motility Definitions and meanings for potential mobilities Active and passive potential mobilities Potential mobilities and practiced ones A model for potential mobilities Conclusion Contents note continued: 5. Mobility or Mobilities? Example 1: Public versus personal terrestrial mobilities Example 2: Virtual mobility via mobile phones versus areal mobility Conclusion pt. Aerial Business Travel Definition and classification Motivations and goals Relative magnitude Spatial patterns Interrelationships with leisure tourism Conclusion pt.
Terminals Central railway stations Central bus stations International airport terminals Conclusion Opportunities Through Daily Virtual Mobilities Location: From destiny to opportunity Locational destiny in the industrial age Locational anchoring in the post-industrial age ss Locational opportunities in the information age Conclusion Conclusion Book summary The daily, the spatial and the mobile Management of daily spatial mobilities.
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Ask a librarian. Wilson, Aharon Kellerman, and Aboriginal, Torres Strait Islander and other First Nations people are advised that this catalogue contains names, recordings and images of deceased people and other content that may be culturally sensitive. Book , Online - Google Books. Second and more importantly was the transition from stationary devices to mobile devices and the move from place-based to person based telecommunications Sharmeen et al. Mobile telephony and broadband were major game changers allowing people to renegotiate their mandatory and non-mandatory activities more effectively through various channels including voice, text, email and instant messaging van den Berg et al.
For example, mobile e-devices enable individuals to engage in activities remotely reducing the need of physical co-presence. With this evolution, new thoughts started appearing how ICT and mobility possibly interact. ICT is loosening the bond between activities and fixed locations and times, which has expanded the ways of engaging in activities including simultaneous time use, multitasking, etc. Mokhtarian et al.
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As a result, the notion of temporal and spatial fragmentation of activities has been proposed Lenz and Nobis The activity fragmentation theory suggested ICT is associated with the breakup of activities into smaller temporal chunks that can take place in different places and times Ben-Elia et al. This idea explained the infringement of home activities on workplaces during the day and work activities at the home during the evening Alexander et al.
However the theory of fragmentation was not able to explain how this comes about. In addition the notion of travel time as dead time was being assertively challenged especially on public transport both for work related and leisure related activities Jain and Lyons ; Line et al. In recent years, research on travel time use in the context of different national cultures and with different transportation modes are expanded greatly, especially research on developing countries. Despite the mounting evidence of more mobile and complex interrelationships between ICT and human behaviours the lack of an adequate theory remains a persistent problem.
A more elaborate framework involving the notion of a fluid tapestry of relationships between physical and virtual activity participation was suggested by Mokhtarian and Tal This framework has not been properly studied and thus has not yet materialized into a full blown theory whilst the simplicity of the substitution—complementarity description still maintains its appeal see 2nd roundtable discussion in the Epilogue , despite the fact that most researchers agree it is obsolete.
Not only is there a lack of sound theory to date but it seems that with the emergence of the 3rd Internet generation—the Internet of Things IoT —we are on the verge of a new era of transportation and ICT fusion into an intricate personal mobility tool kit Grieco and Urry IoT will connect a multitude of objects and appliances online with tremendous implications for everyday life.
People might not need to deal with everyday maintenance tasks like grocery shopping if their refrigerator or pantry will be able to recognize what they need and order supplements online Hubers et al. Naturally contemplating about the future of autonomous mobility is beyond this editorial but it should also be noted as a potential source for large scale changes in lifestyles, time use, activity participation and possibly even urban form Fagnant and Kockelman ; Krueger et al.
As the degree of uncertainty and innovation grows so does the need for novel methodologies to tackle the inherent behavioural complexity.
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Luckily, the increasing use of ICT themselves—via mobile phones and apps, smartcards, credit-cards etc. It has been recently shown that travel demand, transportation management and urban planning have paid increasing attention to big data. In recent years, big data and social media data are employed by transport modellers for modelling transport related issues Hasan and Ukkusuri ; Hasan et al.
At the same time researchers are actively using dedicated apps to monitor and learn about dynamic spatiotemporal behaviours. Nevertheless neither passive big data nor apps are a panacea and many obstacles remain in their application Chen et al.
Daily Spatial Mobilities: Physical and Virtual
In this regard, with the rise of the Internet City and the implementation of smart city strategy Zhen et al. We should not forget to mention the exciting applications of experience-based panels, serious games and virtual reality as non-traditional approaches for studying adoption of innovation Stathopoulos et al. Of course, not all of these topics have been covered in the special issue. Ettema proposes activity theory as a framework to analyse the impact of smartphone apps on travel and activities. Based on an explorative analysis on Whatsapp and travel feedback apps, his study suggests that the activity systems of each app differ largely in terms of object, motive, outcomes, community and rules.
Mulley and Ma use 3-year panel data collected by GPS tracking and a conventional survey methodology in northern Adelaide, South Australia, to examine whether the social marketing program which targeted reducing vehicle kilometres travelled, TravelSmart , had a sustained impact.
Their results indicate that both driving time the driving distances of TravelSmart participants have a declining trend over the 3 tears, albeit with variations among participants with different socio-demographic and built environment characteristics. Song, Fan, Li and Ji develop Python scripts to modify and extend visualization techniques based on a data cube of four dimensions—space, date, time, and user.
The visualizations of two-dimensional slices of the data cube provide novel insights to the impacts of National Holiday on smartcard usage and disparities among various user groups. Zegras, Li, Kilic et al. Their experiment reveals various potential social and technical challenges. Non-random, non-participation and non-response seems to exist. Using a household survey of full-time paid employees who conducted e-activities at home in Nanjing, they analyse the characteristics and patterns of home-based e-working and e-shopping.
Besides, the complementary impact of telecommuting on daily travel is lower in larger metropolitan statistical areas. Their results demonstrate that shopping online does not have a significant effect on overall shopping activity frequency, yet affects shopping trip rates. Dong, Cirillo and Diana extend the traditional analysis of leisure activity participation by including leisure activities that require the use of a personal computer. Specifically, they examine the substitution effects with both in-home and out-of-home leisure activities and the time budget allocated to each of them, based on data extracted from the American Time Use Survey.
Their findings indicate that there is little substitution effects between leisure with personal computer and the relative time spent on it, with in-home and out-of-home leisure episodes. Their results also indicate that the items carried, advance planning, and work-related travel attributes heavily influence activity participation while travelling.
This is only the starting point in ICT and travel research. Technological developments have had, and still have, a major impact on our society and daily life and they are likely to continue playing significant role in the future. Therefore, there are still many unanswered questions which need to be addressed and investigated in-depth. Certainly, this requires concerted efforts and contributions of scholars from worldwide.
Exclusión y desigualdad espacial: retrato desde la movilidad cotidiana | Jirón M. | Revista INVI
Special thanks to Prof. Kay Axhausen, Editor in Chief, Ms. Suganya Manikandan and Mr. Gopi Mohan Journal publishing office, Prof. Jason Cao, University of Minnesota, for motivating the special issue proposal and all the dedicated reviewers that supported the peer-review of this special issue. Skip to main content. Advertisement Hide. Download PDF.
ICT, activity space—time and mobility: new insights, new models, new methodologies.