Paper Number
1555
Paper Type
Short
Description
Cities bring about economic dynamism through positive economic externalities; however, the concentration of people in dense locations has its costs — epidemics, social unrest, pollution, and congestion are some of the ills of cities. As cities evolve, they experience stress, and fault lines appear; the ability to pulse a city and provide early warning of these fault lines can prove advantageous for policymakers in managing and planning for cities. This paper outlines a research program that developed a city scanning tool to measure cities and detect aberrations as they surface. We aggregated data from various industry partners, governmental agencies, and public online sources to develop the measurement metric and applied social science theories to analyze and interpret the results. The results of this study contribute to information system (IS) research by showcasing the role IS research in city planning and for societal good.
Recommended Citation
Goh, Kim Huat; Boh, Waifong; and Dommaraju, Premchand, "A Social Science Approach Using Big Data for City Planning" (2022). ICIS 2022 Proceedings. 4.
https://aisel.aisnet.org/icis2022/it_policy/it_policy/4
A Social Science Approach Using Big Data for City Planning
Cities bring about economic dynamism through positive economic externalities; however, the concentration of people in dense locations has its costs — epidemics, social unrest, pollution, and congestion are some of the ills of cities. As cities evolve, they experience stress, and fault lines appear; the ability to pulse a city and provide early warning of these fault lines can prove advantageous for policymakers in managing and planning for cities. This paper outlines a research program that developed a city scanning tool to measure cities and detect aberrations as they surface. We aggregated data from various industry partners, governmental agencies, and public online sources to develop the measurement metric and applied social science theories to analyze and interpret the results. The results of this study contribute to information system (IS) research by showcasing the role IS research in city planning and for societal good.
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