Dr Henrikki Tenkanen, gave a talk on "Capturing time in space – Investigating equity in transport with multidimensional analyses of accessibility and mobility”.
Abstract:
Bio:
Understanding the spatial patterns of accessibility and mobility is a key to comprehend the functioning of our societies. Hence, their analysis has become increasingly important not only for scientific research but also for practical spatial planning in cities where planners and decision makers face difficult, complex and intertwined issues about urban sprawl, climate change, sustainability, equity, and efficiency, just to name a few. While both spatial accessibility and mobility have been widely studied, the understanding of their relation to each other, and how time and temporal change affect accessibility and mobility has been rather limited this far. In the era of ‘big data’, the wealth of temporally sensitive spatial data has made it possible, better than ever, to capture and understand the temporal realities of spatial accessibility and mobility, also with different travel modes. Currently, however, there is a lack of tools to measure and provide information about how equitable cities are from the transportation perspective, comparing different travel modes realistically to each other. In this presentation, discuss how open data and multidimensional accessibility and mobility analytics can provide new insights about the equity in transport, which is the focus on my current research project that has just started.
Article for the food stores - how competitive is the mobile phone data that us accessible for the spatial configuration. It is the uneven data which is available for improving the accuracy of the phone data . The travel time is calculated to see the open grocery store at each hour . Gini index could be clarified
Multimodal centrality with input- analysis - centrality layer.
The modal equity and centrality of the transport which is basically located in the city centre detail which covers the north
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