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Physical Sciences and Mathematics Commons™
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Articles 1 - 3 of 3
Full-Text Articles in Physical Sciences and Mathematics
Grand Challenges For The Spatial Information Community, Leye Wang, Ouri Wolfson
Grand Challenges For The Spatial Information Community, Leye Wang, Ouri Wolfson
Journal of Spatial Information Science
The spatial information (SI) community has an opportunity to address major societal and scientific problems including public health, climate change, air pollution, transportation, and others. Beyond the significant contributions made by the SI community, more can be done by focusing the efforts of the community, and generalizing them. Focus can be achieved by an IMAGENET-like spatial information database and competition. Generalization can be achieved by solving spatio-temporal information problems in disciplines such as neuroscience, chemistry, biology, astronomy, and engineering.
Spatial Data Science For Sustainable Mobility, Martin Raubal
Spatial Data Science For Sustainable Mobility, Martin Raubal
Journal of Spatial Information Science
The constant rise of urban mobility and transport has led to a dramatic increase in greenhouse gas emissions. In order to ensure livable environments for future generations and counteract climate change, it will be necessary to reduce our future CO2 footprint. Spatial data science contributes to this effort in major ways, also fuelled by recent progress regarding the availability of spatial big data, computational methods and geospatial technologies. This paper demonstrates important contributions from Spatial data science to mobility pattern analysis and prediction, context integration, and the employment of geospatial technologies for changing people's mobility behavior. Among the interdisciplinary research …
Using Mobility Data As Proxy For Measuring Urban Vitality, Patrizia Sulis, Ed Manley, Chen Zhong, Michael Batty
Using Mobility Data As Proxy For Measuring Urban Vitality, Patrizia Sulis, Ed Manley, Chen Zhong, Michael Batty
Journal of Spatial Information Science
In this paper, we propose a computational approach to Jane Jacobs' concept of diversity and vitality, analyzing new forms of spatial data to obtain quantitative measurements of urban qualities frequently employed to evaluate places. We use smart card data collected from public transport to calculate a diversity value for each research unit. Diversity is composed of three dynamic attributes: intensity, variability, and consistency, each measuring different temporal variations of mobility flows. We then apply a regression model to establish the relationship between diversity and vitality, using Twitter data as a proxy for human activity in urban space. Final results (also …