Abstract
This chapter aims to develop an empirical roadmap for the public sector on how to implement automated transport in the urban context. This is a theory-driven and empirics-tested approach, meaning that innovation concepts and smart city frameworks will be mapped with examples from the real-life urban cases. It is expected that smart city aims to solve actual real-life global problems, and thus United Nations sustainable development goals in the case of cities are used. As a framework, main drivers and barriers will be analysed in order to provide public sector decision-makers both negative and positive effects of the automated urban transport.
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