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The complexity underlying the adoption and adaptation behaviours towards new technologies and disruptions

How people would adopt a new type of travel alternatives, how their acceptance would be influenced by their egoistic and altruism traits, how people move from one stage of adoption to another stage of adoption, and how the trade-offs between alternatives have taken place?

As different people have different needs and preferences, their acceptance towards different alternatives of travel modes and activity choices are different across socio-demographic groups. This is influenced by their personality, but also by their internal and external constraints, including social norms, time pressures, and intra-household interactions. It is important to understand the complexity underlying the decision in order to provide a better transport alternatives. Such understanding is essential to examine the system level impacts of new innovations (e.g. demand-responsive-transport service, SuperApps in South East Asia countries, wegfinder in Korneuburg, Corperate MaaS system, and Neighbourhood Telecommuting centres in Sweden) or when we need to disrupt regular transport activities due to pandemic (e.g. COVID-19) and/or other disruptions. In these research, we mostly use panel data set to capture individual behavioural change over a longer time period.

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