TY - CHAP
T1 - Technology Enabled Data for Sustainable Transport Policy
AU - Grant-Muller, Susan M.
AU - Abdelrazek, Mahmoud
AU - Budnitz, Hannah
AU - Cottrill, Caitlin D.
AU - Crawford, Fiona
AU - Choudhury, Charisma F.
AU - Cunningham, Teddy
AU - Harrison, Gillian
AU - Hodgson, Frances C.
AU - Hong, Jinhyun
AU - Martin, Adam
AU - O’Brien, Oliver
AU - Papaix, Claire
AU - Tsoleridis, Panagiotis
N1 - Publisher Copyright:
© 2021 Elsevier Ltd. All rights reserved
PY - 2021/1/1
Y1 - 2021/1/1
N2 - The explosive growth of New and Emerging Data Forms (NEDF) has enabled profound new insights into human behavior, especially related to mobility. NEDF are facilitated by technologies such as smartphones, sensor networks and distributed computing architectures, which are all becoming increasingly advanced and widespread. NEDF, which may offer large sample sizes of high resolution data, offer great potential for informing sustainable transport policy, as well as the development of crosssectoral policies, covering public-health, environment, land-use, and social equity. However, many challenges in exploiting NEDF exist including accessing data in public/private ownership; understanding the representativeness, measuring/accommodating biases/missing data; and the integration of traditional data with new forms to maximize overall utility. Questions remain on whether NEDF can be used to actively influence travel choice/behavior, the new skills and additional resources needed by stakeholders to realize data potential and the ethical challenges for all engaging with the data.
AB - The explosive growth of New and Emerging Data Forms (NEDF) has enabled profound new insights into human behavior, especially related to mobility. NEDF are facilitated by technologies such as smartphones, sensor networks and distributed computing architectures, which are all becoming increasingly advanced and widespread. NEDF, which may offer large sample sizes of high resolution data, offer great potential for informing sustainable transport policy, as well as the development of crosssectoral policies, covering public-health, environment, land-use, and social equity. However, many challenges in exploiting NEDF exist including accessing data in public/private ownership; understanding the representativeness, measuring/accommodating biases/missing data; and the integration of traditional data with new forms to maximize overall utility. Questions remain on whether NEDF can be used to actively influence travel choice/behavior, the new skills and additional resources needed by stakeholders to realize data potential and the ethical challenges for all engaging with the data.
KW - Big data
KW - Ethics
KW - Influencing technologies
KW - New and emerging data forms
KW - Policy
KW - Transport modeling
UR - http://www.scopus.com/inward/record.url?scp=85123179079&partnerID=8YFLogxK
U2 - 10.1016/B978-0-08-102671-7.10627-X
DO - 10.1016/B978-0-08-102671-7.10627-X
M3 - Chapter
AN - SCOPUS:85123179079
SN - 9780081026717
VL - 6
SP - 135
EP - 141
BT - International Encyclopedia of Transportation
PB - Elsevier
ER -
