Big Data Support of Urban Planning and Management The Experience in China /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Shen, Zhenjiang (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Li, Miaoyi (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Advances in Geographic Information Science,
• Θέματα: Energy policy.; Energy and state.; Transportation.; Environmental management.; Economic geography.; Regional planning.; Urban planning.; Data mining.; Energy Policy, Economics and Management.; Water Policy/Water Governance/Water Management.; Economic Geography.; Landscape/Regional and Urban Planning.; Data Mining and Knowledge Discovery.
• Φυσική περιγραφή: XXX, 456 p. 254 illus., 232 illus. in color. online resource.
• ISBN: 9783319519296
• ISSN: 1867-2434
• DOI: 10.1007/978-3-319-51929-6

In the era of big data, this book explores the new challenges of urban-rural planning and management from a practical perspective based on a multidisciplinary project. Researchers as contributors to this book have accomplished their projects by using big data and relevant data mining technologies for investigating the possibilities of big data, such as that obtained through cell phones, social network systems and smart cards instead of conventional survey data for urban planning support. This book showcases active researchers who share their experiences and ideas on human mobility, accessibility and recognition of places, connectivity of transportation and urban structure in order to provide effective analytic and forecasting tools for smart city planning and design solutions in China.