Big Data and Thriving Cities : Innovations in Analytics to Build Sustainable, Resilient, Equitable and Livable Urban Spaces

The recent global diffusion of new technologies, combined with the use of big data analytics, can help policymakers promote the effective development of future cities that provide living and work environments in which citizens can thrive. In partic...

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Bibliographic Details
Main Author: Monroe, Trevor
Format: Working Paper
Language:English
en_US
Published: World Bank, Washington, DC 2017
Subjects:
Online Access:http://documents.worldbank.org/curated/en/842181488514624285/Big-data-and-thriving-cities-innovations-in-analytics-to-build-sustainable-resilient-equitable-and-livable-urban-spaces
http://hdl.handle.net/10986/26299
id okr-10986-26299
recordtype oai_dc
spelling okr-10986-262992021-05-25T08:58:50Z Big Data and Thriving Cities : Innovations in Analytics to Build Sustainable, Resilient, Equitable and Livable Urban Spaces Monroe, Trevor urbanization ICT urban development geospatial data big data crowdsourcing urban crime resilient cities social inclusion remote sensing satellite imagery mega cities green cities competitive cities municipal governance traffic sensors cameras traffic open data GPS digital listening social media The recent global diffusion of new technologies, combined with the use of big data analytics, can help policymakers promote the effective development of future cities that provide living and work environments in which citizens can thrive. In particular, innovative applications of geospatial and sensing technologies and the penetration of mobile phone technology are providing unprecedented data collection This data can be analyzed for many purposes, including tracking population and mobility, private sector investment, and transparency in federal and local government. To help development practitioners within and beyond the World Bank take advantage of these trends, this brief profiles a sample of big data applications to support improved urban development in low- and middle-income countries. It also cites potential opportunities for big data analytics to help developing nations achieve sustainable urban growth, while reducing the economic differential with high-income countries. 2017-03-16T21:21:34Z 2017-03-16T21:21:34Z 2017-03 Working Paper http://documents.worldbank.org/curated/en/842181488514624285/Big-data-and-thriving-cities-innovations-in-analytics-to-build-sustainable-resilient-equitable-and-livable-urban-spaces http://hdl.handle.net/10986/26299 English en_US CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Working Paper Africa East Asia and Pacific Latin America & Caribbean South Asia Colombia Haiti Kenya Philippines Syrian Arab Republic Tanzania Vietnam
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
en_US
topic urbanization
ICT
urban development
geospatial data
big data
crowdsourcing
urban crime
resilient cities
social inclusion
remote sensing
satellite imagery
mega cities
green cities
competitive cities
municipal governance
traffic sensors
cameras
traffic
open data
GPS
digital listening
social media
spellingShingle urbanization
ICT
urban development
geospatial data
big data
crowdsourcing
urban crime
resilient cities
social inclusion
remote sensing
satellite imagery
mega cities
green cities
competitive cities
municipal governance
traffic sensors
cameras
traffic
open data
GPS
digital listening
social media
Monroe, Trevor
Big Data and Thriving Cities : Innovations in Analytics to Build Sustainable, Resilient, Equitable and Livable Urban Spaces
geographic_facet Africa
East Asia and Pacific
Latin America & Caribbean
South Asia
Colombia
Haiti
Kenya
Philippines
Syrian Arab Republic
Tanzania
Vietnam
description The recent global diffusion of new technologies, combined with the use of big data analytics, can help policymakers promote the effective development of future cities that provide living and work environments in which citizens can thrive. In particular, innovative applications of geospatial and sensing technologies and the penetration of mobile phone technology are providing unprecedented data collection This data can be analyzed for many purposes, including tracking population and mobility, private sector investment, and transparency in federal and local government. To help development practitioners within and beyond the World Bank take advantage of these trends, this brief profiles a sample of big data applications to support improved urban development in low- and middle-income countries. It also cites potential opportunities for big data analytics to help developing nations achieve sustainable urban growth, while reducing the economic differential with high-income countries.
format Working Paper
author Monroe, Trevor
author_facet Monroe, Trevor
author_sort Monroe, Trevor
title Big Data and Thriving Cities : Innovations in Analytics to Build Sustainable, Resilient, Equitable and Livable Urban Spaces
title_short Big Data and Thriving Cities : Innovations in Analytics to Build Sustainable, Resilient, Equitable and Livable Urban Spaces
title_full Big Data and Thriving Cities : Innovations in Analytics to Build Sustainable, Resilient, Equitable and Livable Urban Spaces
title_fullStr Big Data and Thriving Cities : Innovations in Analytics to Build Sustainable, Resilient, Equitable and Livable Urban Spaces
title_full_unstemmed Big Data and Thriving Cities : Innovations in Analytics to Build Sustainable, Resilient, Equitable and Livable Urban Spaces
title_sort big data and thriving cities : innovations in analytics to build sustainable, resilient, equitable and livable urban spaces
publisher World Bank, Washington, DC
publishDate 2017
url http://documents.worldbank.org/curated/en/842181488514624285/Big-data-and-thriving-cities-innovations-in-analytics-to-build-sustainable-resilient-equitable-and-livable-urban-spaces
http://hdl.handle.net/10986/26299
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