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Person

Christopher J. Pettit

Alternate Name:
Chris Pettit
Report

The potential of new technologies to disrupt housing policy


This study examined disruptive digital technologies, investigating their potential for reshaping housing markets and reconfiguring housing policy. It provides housing policy makers and practitioners with a nuanced understanding of how technology is already restructuring housing markets and affecting housing assistance programs, as well as insights into likely future developments.
Report

Understanding the disruptive technology ecosystem in Australian urban and housing contexts: a roadmap


This research reviews different emerging digital and disruptive technologies in relation to housing. One key conclusion is that the sharing or ‘gig’ economy, with the likes of Airbnb, is already disrupting the housing sector.
Conference paper

A data-driven collaborative-planning approach for developing sustainable medium-density housing in cities


Australia’s cities face significant social, economic and environmental challenges, driven by population growth and rapid urbanisation. The pressure to increase the availability of housing, including a move to a more compact urban form, will lead to greater levels of high-density and medium-density stock. This research is attentive to the lack of medium-density dwellings and associated...
Conference paper

Validating mobile phone generated bicycle route data in support of active transportation


As our cities continue to growth in an era of urbanization there is a need to harness the power of big data to support data driven planning. Yet we need to ensure this data in credible and reliable, particularly when obtained from smart phone apps through crowdsourced approaches. The goal of this paper is to...
Article

They know where you go: dockless bike sharing looms as the next disruptor – if key concerns are fixed


Beyond the benefits of dockless bike sharing for people’s mobility and health, these services are producing an ever more useful byproduct: journey data, which could be a powerful tool for city planners and policymakers

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