Harnessing Big Data and Analytics Solutions in Support of Smart City Services

Shailesh Kumar Pandey, Mohammad Tariq Khan, Robin G. Qiu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Connecting and leveraging different types of electronic data sources (e.g., mobile and networked sensors, devices, and systems) to create an integrated platform is always a challenging task. To meet the needs of smart city development, developing that platform to process collected data in real time to support smart city services becomes essential. A robust and scalable framework for integrating big data and analytics solutions thus is required, aimed at providing seamless integration of heterogeneous data to manage city transportation, traffic, energy consumption, schools, hospitals, and other public services in a smart and sustainable manner. This paper extends our preliminary framework studies by discussing how we can implement physical and social sensing using the proposed big data and analytics platform to enable better and smarter services than ever before in great detail. With the support of big data and analytics technologies, we use city mobility services to demonstrate the great potential of the proposed integration and aggregation framework. Specifically, real time data from Citi Bike is collected, processed, and modeled. The developed prototype in support of city mobility management and operations shows a variety of potential benefits of the proposed digital ecosystem platform.

Original languageEnglish (US)
Title of host publicationAdvances in Service Science - Proceedings of the 2018 INFORMS International Conference on Service Science
EditorsHui Yang, Robin Qiu
PublisherSpringer Science and Business Media B.V.
Pages117-128
Number of pages12
ISBN (Print)9783030047252
DOIs
StatePublished - 2019
EventINFORMS International Conference on Service Science, ICSS 2018 - Phoenix, United States
Duration: Nov 3 2018Nov 3 2018

Publication series

NameSpringer Proceedings in Business and Economics
ISSN (Print)2198-7246
ISSN (Electronic)2198-7254

Conference

ConferenceINFORMS International Conference on Service Science, ICSS 2018
Country/TerritoryUnited States
CityPhoenix
Period11/3/1811/3/18

All Science Journal Classification (ASJC) codes

  • General Economics, Econometrics and Finance
  • General Business, Management and Accounting

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