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Big Data Applications in Geography and Planning: An Essential Companion

Big Data Applications in Geography and Planning: An Essential Companion

          
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About the Book

This unique book demonstrates the utility of big data approaches in human geography and planning. Offering a carefully curated selection of case studies, it reveals how researchers are accessing big data, what this data looks like and how such data can offer new and important insights and knowledge. Contributions from key scholars working in the field bring together an international series of case studies on demography and migration, retail and consumer analytics, health care planning, urban planning and transport studies. Chapters also discuss how data sets leveraged from commercial and public agency sources can greatly improve the data traditionally worked with in academic geography, regional science and planning. While addressing the challenges and limitations of big data, the book also demonstrates the usefulness of data sets held by commercial agencies and explores data linkage between big data and traditional public domain data sources. Focusing on the applications of big data to investigate issues in a spatial context, this book will be an essential guide for scholars and students of planning, mobility and human geography, particularly those who specialise in economic and transport geography. Its use of key case studies to demonstrate the applications of big data analytics in planning will also be useful for planners in these fields.

Table of Contents:
Contents: 1 Introduction to Big Data Applications in Geography and Planning 1 Mark Birkin, Graham Clarke, Jonathan Corcoran and Robert Stimson 2 Using social media advertising data to estimate migration trends over time 8 Monica Alexander 3 Estimating household mobility using novel big data 25 Nik Lomax 4 Using linked consumer and administrative data to model demographic changes in London’s city fringe 43 Justin van Dijk, Guy Lansley and Paul Longley 5 Combining large linked social service microdata and geospatial data to identify vulnerable populations in New Zealand 52 Lukas Marek, James Greenwell, Matthew Hobbs, John McCarthy, Jesse Wiki, Malcolm Campbell, Simon Kingham and Melanie Tomintz 6 The changing geography of clinical misery in England: lessons in spatio-temporal data analysis 64 Alexis Comber, Chris Brunsdon, Martin Charlton and John Cromby 7 Utilising smartphone data to explore spatial influences on physical activity 78 Francesca Pontin 8 Spatial extent and classification of retail agglomerations 92 Les Dolega 9 Applications of store loyalty card big data in the location planning process 106 Nick Hood, Graham Clarke, Andy Newing and Tim Rains 10 Online content of local interest and how it attracts individuals online 120 Emmanouil Tranos and Christoph Stich 11 Smart cities, big data: an overview 143 Robert Stimson and Chris Pettit 12 Is Sydney a 30-minute city? Big data analytics assisting to bring political rhetoric into practice 168 Simone Leao, Mohammad Hassan, Taha Rashidi and Chris Pettit 13 Data and public participation in national strategic planning 188 Eliahu Stern, Sheizaf Rafaeli and Arza Churchman 14 Goldmine or minefield? The methodological challenges associated with the analysis of the FixMyStreet neighbourhood problems dataset 205 Alasdair Rae and Elvis Nyanzu 15 Big data applications in urban transport research in Chinese cities: an overview 219 Sui Tao, Min Zhang and Jiangyue Wu 16 Unpacking the weather–transit ridership relationship using big data in Brisbane and beyond 244 Ming Wei, Yan Liu, Thomas Sigler and Jonathan Corcoran 17 Spatial microsimulation models for rail travel: a West Yorkshire case study 255 Eusebio Odiari, Mark Birkin, Susan Grant-Muller and Nick Malleson Index


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Product Details
  • ISBN-13: 9781789909784
  • Publisher: Edward Elgar Publishing Ltd
  • Publisher Imprint: Edward Elgar Publishing Ltd
  • Height: 244 mm
  • No of Pages: 288
  • Width: 169 mm
  • ISBN-10: 1789909783
  • Publisher Date: 07 May 2021
  • Binding: Hardback
  • Language: English
  • Sub Title: An Essential Companion


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