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Potential effects of ICT on face-to-face meeting opportunities: a GIS-based time-geographic approach

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  • Yin, Ling
  • Shaw, Shih-Lung
  • Yu, Hongbo

Abstract

People in modern societies are increasingly experiencing the impacts of information and communication technologies (ICT) on their daily activities and their interactions with other people. These changing activity and interaction patterns due to the use of ICT have important implications to human activity and travel patterns. There are scant studies offering a spatiotemporal analytical framework that can help researchers examine the interactions between ICT and human activities at the individual level. Time geography offers a useful approach of studying individual activities and human interactions in a space-and-time context. By extending a time-geographic analytical framework, this study uses an example of arranging a face-to-face (F2F) meeting between two people to illustrate how potential F2F meeting opportunities can be impacted under four different scenarios of phone access levels. This spatiotemporal analytical framework and the various phone access scenarios are implemented in a space–time geographic information system (GIS) to demonstrate the feasibility of this analytical framework. In addition, this time-geographic framework offers analysis functions in support of quantitative assessments of ICT’s impacts on human activities.

Suggested Citation

  • Yin, Ling & Shaw, Shih-Lung & Yu, Hongbo, 2011. "Potential effects of ICT on face-to-face meeting opportunities: a GIS-based time-geographic approach," Journal of Transport Geography, Elsevier, vol. 19(3), pages 422-433.
    • Handle: RePEc:eee:jotrge:v:19:y:2011:i:3:p:422-433
    DOI: 10.1016/j.jtrangeo.2010.09.007
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    Cited by:

    1. Steven Farber & Tijs Neutens & Juan-Antonio Carrasco & Carolina Rojas, 2014. "Social Interaction Potential and the Spatial Distribution of Face-to-Face Social Interactions," Environment and Planning B, , vol. 41(6), pages 960-976, December.
    2. Downs, Joni A. & Horner, Mark W., 2012. "Probabilistic potential path trees for visualizing and analyzing vehicle tracking data," Journal of Transport Geography, Elsevier, vol. 23(C), pages 72-80.
    3. Jiwu Wang & Xuewei Hu & Chengyu Tong, 2021. "Urban Community Sustainable Development Patterns under the Influence of COVID-19: A Case Study Based on the Non-Contact Interaction Perspective of Hangzhou City," Sustainability, MDPI, vol. 13(6), pages 1-20, March.
    4. Fang, Zhixiang & Shaw, Shih-Lung & Tu, Wei & Li, Qingquan & Li, Yuguang, 2012. "Spatiotemporal analysis of critical transportation links based on time geographic concepts: a case study of critical bridges in Wuhan, China," Journal of Transport Geography, Elsevier, vol. 23(C), pages 44-59.
    5. Xiao Li & Steven Farber, 2016. "Spatial representation in the social interaction potential metric: an analysis of scale and parameter sensitivity," Journal of Geographical Systems, Springer, vol. 18(4), pages 331-357, October.
    6. Yang Xu & Shih-Lung Shaw & Ziliang Zhao & Ling Yin & Zhixiang Fang & Qingquan Li, 2015. "Understanding aggregate human mobility patterns using passive mobile phone location data: a home-based approach," Transportation, Springer, vol. 42(4), pages 625-646, July.

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