Digital Social Networks and Travel Behaviour in Urban Environments

Pnina O. Plaut is a professor of transport and urban planning and policy at the Faculty of Architecture and Town Planning, Technion-IIT. Her research interests focus on smart cities and new mobility services and the nexus among ICT social networks, travel behaviour and urban environments. She is Initiator and Chair of the EU Horizon 2020 COST Action TU1305 titled: Social Networks and Travel Behaviour.Dalit Shach-Pinsly is an architect and urban designer who is currently a senior lecturer at the Technion–IIT. Her research deals with measuring and evaluating diverse qualitative aspects of the urban environment, such as the Security Rating Index (SRI), presented in her article in LAND journal. She is Co-Initiator of the EU Horizon 2020 COST Action TU1305 titled: Social Networks and Travel Behaviour.

• Introduction; Part I: ICT Social Networks and Travel Behaviour - Theory and Practice 1. Social networks theory: definitions and practice; 2. How to define Social Network in the context of mobilities?; 3. Opinion dynamics and complex networks; 4. Social Media and Travel Behaviour; 5. The Relationship between Social Networks and Spatial Mobility: A Mobile-Phone-Based Study in Estonia; 6. On the Relative Importance of Social Influence in Transport-Related Choice Behaviour: Empirical Evidence from Three Stated Choice Experiments; 7. Social networks in transit: exploring the development of new network-based travel practices; Part II: The Urban Perspective of ICT Social Networks and Travel Behaviour 8. A typology of urban analysis models: disciplines and levels; 9. Travel behaviour and social networks interactions with the urban environment, a review; 10. Modelling the city in dialogue with new social media and modes of travel behaviour; 11. Revisiting urban models with ICT data? Some examples from Brussels; 12. The evolution of natural cities from the perspective of location-based social media; Epilogue Looking into the near future of ICT-enabled travel; Index