TY - GEN
T1 - Digital Transformation and Divide of Cities through the COVID-19 Pandemic
AU - Zaman, Rafida
AU - Choi, Baek Young
AU - Song, Sejun
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The COVID-19 pandemic has affected almost all sectors of society in a short period. In this paper, we study the impact of the COVID-19 pandemic on smart cities through analyses of 311 data of cities and the residents in the United States. We have compared various aspects of municipal governments' service platforms and citizens' requests during pre-COVID, the lockdown, and the rest of the pandemic duration. Among multiple observations from the data, we discover the noticeable changes in the digital transformation of citizens' voices during the COVID-19 pandemic. We observe disparities in service adaptation across many cities, where only a few cities have quickly added pandemic responsive service types and favorable 311 mobile apps in addition to phone and online web services. Besides the digital transformation of residents and municipal governments, we also find that various aspects of divides of residents, such as economic, COVID-related health, and demands are closely related to each other. We have built a comprehensive website that dynamically collects 311 data from municipal open data of cities in the United States that other researchers or urban planners can use to understand citizens' voices better and draw insights.
AB - The COVID-19 pandemic has affected almost all sectors of society in a short period. In this paper, we study the impact of the COVID-19 pandemic on smart cities through analyses of 311 data of cities and the residents in the United States. We have compared various aspects of municipal governments' service platforms and citizens' requests during pre-COVID, the lockdown, and the rest of the pandemic duration. Among multiple observations from the data, we discover the noticeable changes in the digital transformation of citizens' voices during the COVID-19 pandemic. We observe disparities in service adaptation across many cities, where only a few cities have quickly added pandemic responsive service types and favorable 311 mobile apps in addition to phone and online web services. Besides the digital transformation of residents and municipal governments, we also find that various aspects of divides of residents, such as economic, COVID-related health, and demands are closely related to each other. We have built a comprehensive website that dynamically collects 311 data from municipal open data of cities in the United States that other researchers or urban planners can use to understand citizens' voices better and draw insights.
KW - 311 data
KW - Digital Divide
KW - Digital Transformation
KW - Open Municipal Data
KW - Smart Cities
KW - the COVID-19 Pandemic
UR - http://www.scopus.com/inward/record.url?scp=85142033760&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85142033760&partnerID=8YFLogxK
U2 - 10.1109/ISC255366.2022.9922044
DO - 10.1109/ISC255366.2022.9922044
M3 - Conference contribution
AN - SCOPUS:85142033760
T3 - ISC2 2022 - 8th IEEE International Smart Cities Conference
BT - ISC2 2022 - 8th IEEE International Smart Cities Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IEEE International Smart Cities Conference, ISC2 2022
Y2 - 26 September 2022 through 29 September 2022
ER -