Zhaoya Gong: Measuring Functional Urban Shrinkage with Multi-Source Geospatial Big Data: A Case Study of the Beijing-Tianjin-Hebei Megaregion

Thursday 25 February 2021, 12:30pm to 1:30pm

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Lancaster University (Teams)

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Alumni, Applicants, External Organisations, Postgraduates, Prospective International Students, Prospective Postgraduate Students, Prospective Undergraduate Students, Staff

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Event Details

DSNE Seminar with Zhaoya Gong, University of Birmingham

Traditional ways of measuring urban shrinkage are focused on tracking population loss at the city level and are unable to capture the spatially heterogeneous shrinking patterns inside a city. Consequently, the spatial mechanism and patterns of urban shrinkage inside a city remain less understood, which is unhelpful for developing accommodation strategies for shrinkage. The smart city initiatives and practices have provided a rich pool of geospatial big data resources and technologies to tackle the complexity of urban systems. Given this context, we propose a new measure for the delineation of shrinking areas within cities by introducing a new concept of functional urban shrinkage, which aims to capture the mismatch between urban built-up areas and the areas where significantly intensive human activities take place. Combining geospatial big data with urban land-use functions obtained from land surveys and Points-Of-Interests data, the framework further enables the comparison between cities from dimensions characterized by indices of spatial and urban functional characteristics and the landscape fragmentation; thus, it has the capacity to facilitate an in-depth investigation of fundamental causes and internal mechanisms of urban shrinkage. With a case study of the Beijing-Tianjin-Hebei megaregion using data from various sources collected for the year of 2018, we demonstrate the validity of this approach and its potential generalizability for other spatial contexts in facilitating timely and better-informed planning decision support.

Biography:

Dr Zhaoya Gong is a quantitative human geographer and Geographic Information Scientist. His research interests centre on two interwoven themes, namely leveraging computational and data sciences to advance geographic information science, and dynamic processes of urbanisation and complex modalities of spatial structures generated at various scales, as articulated by interactions of land use and transportation/mobility systems, with respect to the social, economic, and environmental sustainability of resulting urban settlements.

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Contact Details

Name Simone Gristwood
Email

s.gristwood@lancaster.ac.uk