Urban legislation assessment by data analytics with smart city characteristics

Xu Du, Diane Liporace, Aparna Varde

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

2 Citations (Scopus)

Abstract

Smart cities receive great attention today especially in conjunction with ubiquitous computing. People feel the need to access information about their cities anywhere anytime. They wish to be actively involved with local government bodies for policy decisions affecting urban lifestyle. Accordingly, this paper describes our research on urban policy management. We analyze urban legislation, more specifically, ordinances or local laws. We categorize ordinances based on smart city characteristics they address. This work deploys data warehousing, XML data management and data mining over categorized ordinances. Interesting findings include relative importance of smart city characteristics considering the focus given by urban agencies. This research helps agencies assess their current ordinance policies with decision support for the future. It also provides urban residents at-a-glance information about their cities and policies with analysis. This work has broader impacts of enhancing smart cities and ubiquitous computing by making useful information widely accessible with suitable inferences.

Original languageEnglish
Title of host publication2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2017
EditorsHimadri Nath Saha, Satyajit Chakrabarti
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages20-25
Number of pages6
ISBN (Electronic)9781538611043
DOIs
StatePublished - 5 Jan 2018
Event8th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2017 - New York City, United States
Duration: 19 Oct 201721 Oct 2017

Publication series

Name2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2017
Volume2018-January

Other

Other8th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2017
CountryUnited States
CityNew York City
Period19/10/1721/10/17

Fingerprint

Legislation
Ubiquitous computing
Data warehouses
XML
Information management
Data mining
Access to Information
Local Government
Data Mining
Policy Making
Research
Smart city
Life Style

Keywords

  • Data mining
  • Data warehousing
  • Ordinances
  • Smart city
  • Urban policy
  • XML data management

Cite this

Du, X., Liporace, D., & Varde, A. (2018). Urban legislation assessment by data analytics with smart city characteristics. In H. N. Saha, & S. Chakrabarti (Eds.), 2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2017 (pp. 20-25). (2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UEMCON.2017.8248972
Du, Xu ; Liporace, Diane ; Varde, Aparna. / Urban legislation assessment by data analytics with smart city characteristics. 2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2017. editor / Himadri Nath Saha ; Satyajit Chakrabarti. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 20-25 (2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2017).
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Du, X, Liporace, D & Varde, A 2018, Urban legislation assessment by data analytics with smart city characteristics. in HN Saha & S Chakrabarti (eds), 2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2017. 2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 20-25, 8th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2017, New York City, United States, 19/10/17. https://doi.org/10.1109/UEMCON.2017.8248972

Urban legislation assessment by data analytics with smart city characteristics. / Du, Xu; Liporace, Diane; Varde, Aparna.

2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2017. ed. / Himadri Nath Saha; Satyajit Chakrabarti. Institute of Electrical and Electronics Engineers Inc., 2018. p. 20-25 (2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2017; Vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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AU - Liporace, Diane

AU - Varde, Aparna

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Y1 - 2018/1/5

N2 - Smart cities receive great attention today especially in conjunction with ubiquitous computing. People feel the need to access information about their cities anywhere anytime. They wish to be actively involved with local government bodies for policy decisions affecting urban lifestyle. Accordingly, this paper describes our research on urban policy management. We analyze urban legislation, more specifically, ordinances or local laws. We categorize ordinances based on smart city characteristics they address. This work deploys data warehousing, XML data management and data mining over categorized ordinances. Interesting findings include relative importance of smart city characteristics considering the focus given by urban agencies. This research helps agencies assess their current ordinance policies with decision support for the future. It also provides urban residents at-a-glance information about their cities and policies with analysis. This work has broader impacts of enhancing smart cities and ubiquitous computing by making useful information widely accessible with suitable inferences.

AB - Smart cities receive great attention today especially in conjunction with ubiquitous computing. People feel the need to access information about their cities anywhere anytime. They wish to be actively involved with local government bodies for policy decisions affecting urban lifestyle. Accordingly, this paper describes our research on urban policy management. We analyze urban legislation, more specifically, ordinances or local laws. We categorize ordinances based on smart city characteristics they address. This work deploys data warehousing, XML data management and data mining over categorized ordinances. Interesting findings include relative importance of smart city characteristics considering the focus given by urban agencies. This research helps agencies assess their current ordinance policies with decision support for the future. It also provides urban residents at-a-glance information about their cities and policies with analysis. This work has broader impacts of enhancing smart cities and ubiquitous computing by making useful information widely accessible with suitable inferences.

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KW - Urban policy

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M3 - Conference contribution

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PB - Institute of Electrical and Electronics Engineers Inc.

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Du X, Liporace D, Varde A. Urban legislation assessment by data analytics with smart city characteristics. In Saha HN, Chakrabarti S, editors, 2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2017. Institute of Electrical and Electronics Engineers Inc. 2018. p. 20-25. (2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2017). https://doi.org/10.1109/UEMCON.2017.8248972