TY - CHAP
T1 - Big data in emerging cities
AU - Roy Chowdhury, Pranab K.
AU - Sutherland, Susanna H.
AU - Ernst, Kathleen M.
AU - Pawlowski, Alexander
AU - Schmidt, Erik H.
AU - Caspersen, Janna R.
AU - Zhao, Ziliang
AU - Bhaduri, Budhendra L.
N1 - Publisher Copyright:
© 2018 selection and editorial matter, Laurie A. Schintler and Zhenhua Chen.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - Emergence of big data collection and analysis techniques offer unique opportunities for efficient urban planning. This chapter discusses big data in urban science and its challenges and opportunities in urban planning, with a special focus on the energy and mobility sectors. Through examples and case studies, we illustrate the present state of big data application and highlight how urban areas, especially those emerging with new growth, can utilize big data to efficiently meet energy and mobility challenges.
AB - Emergence of big data collection and analysis techniques offer unique opportunities for efficient urban planning. This chapter discusses big data in urban science and its challenges and opportunities in urban planning, with a special focus on the energy and mobility sectors. Through examples and case studies, we illustrate the present state of big data application and highlight how urban areas, especially those emerging with new growth, can utilize big data to efficiently meet energy and mobility challenges.
UR - http://www.scopus.com/inward/record.url?scp=85050267786&partnerID=8YFLogxK
U2 - 10.4324/9781315270838
DO - 10.4324/9781315270838
M3 - Chapter
AN - SCOPUS:85050267786
SN - 9781138282186
SP - 277
EP - 291
BT - Big Data for Regional Science
PB - Taylor and Francis
ER -
