Abstract
Climate change places cities at increasing risk and poses a serious challenge for adaptation. As a response, novel sources of data combined with data-driven logics and advanced spatial modelling techniques have the potential for transformative change in the role of information in urban planning. However, little practical guidance exists on the potential opportunities offered by mobile phone data for enhancing adaptive capacities in urban areas. Building upon a review of spatial studies mobilizing mobile phone data, this paper explores the opportunities offered by such digital information for providing spatially-explicit assessments of urban vulnerability, and shows the ways these can help developing more dynamic strategies and tools for urban planning and disaster risk management. Finally, building upon the limitations of mobile phone data analysis, it discusses the key urban governance challenges that need to be addressed for supporting the emergence of transformative change in current planning frameworks.
Highlights
In this paper we explored the perspective of urban planning and showed how such data are extremely useful, mainly because their high spatio-temporal resolution have the potential for supporting transformative climate change adaptation pathways within cities from L-MICs
As a main outcome of this review, it can be concluded that the continued use of data from mobile phone operators should be supported as it provides valuable information for urban adaptation
We used the MOVE framework [7] as starting point, because it provides a comprehensive framework of the multiple components of adaptation in the context of climate change and natural hazard
Summary
Climate change places cities at increasing risk and poses a serious challenge for adaptation. The way current urban planning strategies integrate assessments of populations vulnerable to climate-related hazards have to be put into the perspective of a 1.5◦C warmer world and rapidly changing climatic conditions. These, in turn, allow for quantifying the population sizes and causal mechanisms behind human vulnerability to climate risks Such an approach means that answers on how to plan for climate change are pre-defined by population trends and climatic conditions observed in the past. Longitudinal censuses are not always undertaken at the same period of the year at each follow-up round due to logistical difficulties of data collection This biases vulnerability assessments when urbanization is growing at fast rates or when significant seasonality exists in climatic events. Spatially-explicit population changes across multiple temporal scales are difficult to assess and limit the application of census-based population maps in urban planning
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