UID:
almahu_9949385815202882
Format:
1 online resource (xxi, 197 pages)
ISBN:
9781315112954
,
1315112957
,
9781351623575
,
1351623575
,
9781351623582
,
1351623583
,
9781351623568
,
1351623567
Series Statement:
Routledge advances in regional economics, science and policy ; 34
Content:
"Big data is increasingly regarded as a new approach for understanding urban informatics and complex systems. Today, there is unprecedented data availability, with detailed remote-sensed data on the built environment, and rich mineable web-based sources in the form of social media, web mapping, information services and other sources of unstructured "big data". This book brings together a group of international contributors to consider the geographical implications of mobility, wellbeing and development within and across Chinese cities through location-based big data perspectives. The degree of urban sprawl, productive density, and vibrancy can be reflected from location-based social media big data. The challenge is to identify, map, and model these relationships to develop cities at different places in the urban hierarchical system that are more sustainable. This edited book aims to tackle these issues through two inter-related geographical scales: inter-city level and intra-city level. The text is designed for graduate courses in planning, geography, public policy and administration, and for international researchers who are involved in urban and regional economics and economic geography"--
Additional Edition:
Print version: Geography of mobility, wellbeing and development in China. Abingdon, Oxon ; New York, NY : Routledge, 2020 ISBN 9781138081321
Language:
English
Keywords:
Electronic books.
;
Electronic books.
;
Electronic books
DOI:
10.4324/9781315112954
URL:
https://www.taylorfrancis.com/books/9781315112954
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