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Whilst there is an increasing capability to instrument smart cities using fixed and mobile sensors to produce the big data to better understand and manage transportation use, there still exists a wide gap between the sustainability goals of smart cities, e.g., to promote less private car use at peak times, with respect to their ability to more dynamically support individualised shifts in multi-modal transportation use to help achieve such goals. We describe the development of the tripzoomdoi:10.3390/s150613069 pmid:26053752 pmcid:PMC4507639 fatcat:vycbyr6fhfc7tjxdbzc4mvpd5u