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Integrating big data into a sustainable mobility policy 2.0 planning support system

Ivana Semanjski UGent, Rik Bellens UGent, Sidharta Gautama UGent and Frank Witlox UGent (2016) SUSTAINABILITY. 8(11).
abstract
It is estimated that each of us, on a daily basis, produces a bit more than 1 GB of digital content through our mobile phone and social networks activities, bank card payments, location-based positioning information, online activities, etc. However, the implementation of these large data amounts in city assets planning systems still remains a rather abstract idea for several reasons, including the fact that practical examples are still very strongly services-oriented, and are a largely unexplored and interdisciplinary field; hence, missing the cross-cutting dimension. In this paper, we describe the Policy 2.0 concept and integrate user generated content into Policy 2.0 platform for sustainable mobility planning. By means of a real-life example, we demonstrate the applicability of such a big data integration approach to smart cities planning process. Observed benefits range from improved timeliness of the data and reduced duration of the planning cycle to more informed and agile decision making, on both the citizens and the city planners end. The integration of big data into the planning process, at this stage, does not have uniform impact across all levels of decision making and planning process, therefore it should be performed gradually and with full awareness of existing limitations.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
smart city, smartphones, urban data analytics, big data, decision making, sustainable mobility, transport planning, Policy 2.0, SMART CITIES, BEHAVIOR, FRAMEWORK, IMPACT
journal title
SUSTAINABILITY
Sustainability
volume
8
issue
11
issue title
Urban sustainability and planning support systems
article number
1142
pages
19 pages
Web of Science type
Article
Web of Science id
000389316200062
JCR category
ENVIRONMENTAL STUDIES
JCR impact factor
1.789 (2016)
JCR rank
47/105 (2016)
JCR quartile
2 (2016)
ISSN
2071-1050
DOI
10.3390/su8111142
language
English
UGent publication?
yes
classification
A1
copyright statement
Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
id
8132038
handle
http://hdl.handle.net/1854/LU-8132038
date created
2016-11-02 13:49:36
date last changed
2017-10-24 13:13:29
@article{8132038,
  abstract     = {It is estimated that each of us, on a daily basis, produces a bit more than 1 GB of digital content through our mobile phone and social networks activities, bank card payments, location-based positioning information, online activities, etc. However, the implementation of these large data amounts in city assets planning systems still remains a rather abstract idea for several reasons, including the fact that practical examples are still very strongly services-oriented, and are a largely unexplored and interdisciplinary field; hence, missing the cross-cutting dimension. In this paper, we describe the Policy 2.0 concept and integrate user generated content into Policy 2.0 platform for sustainable mobility planning. By means of a real-life example, we demonstrate the applicability of such a big data integration approach to smart cities planning process. Observed benefits range from improved timeliness of the data and reduced duration of the planning cycle to more informed and agile decision making, on both the citizens and the city planners end. The integration of big data into the planning process, at this stage, does not have uniform impact across all levels of decision making and planning process, therefore it should be performed gradually and with full awareness of existing limitations.},
  articleno    = {1142},
  author       = {Semanjski, Ivana and Bellens, Rik and Gautama, Sidharta and Witlox, Frank},
  issn         = {2071-1050},
  journal      = {SUSTAINABILITY},
  keyword      = {smart city,smartphones,urban data analytics,big data,decision making,sustainable mobility,transport planning,Policy 2.0,SMART CITIES,BEHAVIOR,FRAMEWORK,IMPACT},
  language     = {eng},
  number       = {11},
  pages        = {19},
  title        = {Integrating big data into a sustainable mobility policy 2.0 planning support system},
  url          = {http://dx.doi.org/10.3390/su8111142},
  volume       = {8},
  year         = {2016},
}

Chicago
Semanjski, Ivana, Rik Bellens, Sidharta Gautama, and Frank Witlox. 2016. “Integrating Big Data into a Sustainable Mobility Policy 2.0 Planning Support System.” Sustainability 8 (11).
APA
Semanjski, I., Bellens, R., Gautama, S., & Witlox, F. (2016). Integrating big data into a sustainable mobility policy 2.0 planning support system. SUSTAINABILITY, 8(11).
Vancouver
1.
Semanjski I, Bellens R, Gautama S, Witlox F. Integrating big data into a sustainable mobility policy 2.0 planning support system. SUSTAINABILITY. 2016;8(11).
MLA
Semanjski, Ivana, Rik Bellens, Sidharta Gautama, et al. “Integrating Big Data into a Sustainable Mobility Policy 2.0 Planning Support System.” SUSTAINABILITY 8.11 (2016): n. pag. Print.