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Computational Urban Planning and Management for Smart Cities

  • S.C.M. Geertman (Editor)
  • , Qingming Zhan (Editor)
  • , Andrew Allan (Editor)
  • , Chris Pettit (Editor)
  • Wuhan University
  • University of Adelaide
  • University of New South Wales

Research output: Book/Report › Book › Academic

Abstract

The world is on the cusp of advancing to a sixth wave of technologically based innovation, which will significantly impact our rapidly-growing urban environments. However, political and social resistance hold us back from the transformational potential of technological innovation, to empower both urban decision-makers and citizens to make informed choices about their urban futures. This volume brings together a collection of chapters that encapsulates the state-of the-art research in data driven methods for harnessing the potential of computational planning and management for smart cities. The scholarly works are organised around three thematic lenses: (I) smart cities and their data and governance; (II) computational planning of smart cities; and (III) mobility and transportation modelling . Each chapter addresses the potential of technologically based innovation in urban environments and provides innovative methods and a series of research findings to guide cities in harnessing its potential. This volume provides an important contribution to the body of knowledge interfacing data, technology and smart cities as we strive to plan more liveable, sustainable and productive cities of the future.
Original languageEnglish
Place of PublicationCham
PublisherSpringer
Number of pages511
ISBN (Electronic)978-3-030-19424-6
ISBN (Print)978-3-030-19423-9
Publication statusPublished - 1 Jun 2019

Publication series

NameLecture Notes in Geoinformation and Cartography
PublisherSpringer

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • computational planning
  • smart cities
  • big data
  • mobility
  • transport modelling

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