TY - JOUR
T1 - Effects of Weather Conditions on the Public Demand for Weather Information via Smartphone in Multiple Regions of China
AU - Cao, Yuyao
AU - Zhang, Qinghong
AU - Sun, Juanzhen
AU - Li, Rumeng
AU - Huang, Yaohai
AU - Zhuang, Jing
AU - Xu, Jun
AU - Chen, Yun
N1 - Publisher Copyright:
© 2022 American Meteorological Society.
PY - 2022/7
Y1 - 2022/7
N2 - Understanding when weather information is required by the public is essential for evaluating and improving user-oriented weather services. Because of the popularity of smartphones, most people can easily access weather information via smartphone applications. In this study, we analyzed usage data for the Moji Weather smartphone application in 2017 and 2018 and devised a demand index to determine how often the weather information was used by the public under different weather conditions. Using hourly observations of surface temperature, wind intensity, precipitation, and visibility, we quantified the relationship between the demand for weather information and weather conditions in different regions of China. In general, the demand index increased with increases in local hourly precipitation or surface wind intensity in all regions; however, there were notable regional differences in the increasing trends. Extreme hot weather was found to in-crease the demand index in Northern China, Xinjiang, and the Sichuan Basin while in Southern China it increased more in response to extreme cold weather. We quantified the relationships between the demand index and weather conditions by performing a polynomial regression analysis for each weather element and region. The high-demand thresholds were found to vary among regions, suggesting the need for customized weather services for users in different geographical regions. The study also revealed the contribution of weather warnings to weather information demand in two megacities and showed that warnings were effective for conveying information about weather-related risks.
AB - Understanding when weather information is required by the public is essential for evaluating and improving user-oriented weather services. Because of the popularity of smartphones, most people can easily access weather information via smartphone applications. In this study, we analyzed usage data for the Moji Weather smartphone application in 2017 and 2018 and devised a demand index to determine how often the weather information was used by the public under different weather conditions. Using hourly observations of surface temperature, wind intensity, precipitation, and visibility, we quantified the relationship between the demand for weather information and weather conditions in different regions of China. In general, the demand index increased with increases in local hourly precipitation or surface wind intensity in all regions; however, there were notable regional differences in the increasing trends. Extreme hot weather was found to in-crease the demand index in Northern China, Xinjiang, and the Sichuan Basin while in Southern China it increased more in response to extreme cold weather. We quantified the relationships between the demand index and weather conditions by performing a polynomial regression analysis for each weather element and region. The high-demand thresholds were found to vary among regions, suggesting the need for customized weather services for users in different geographical regions. The study also revealed the contribution of weather warnings to weather information demand in two megacities and showed that warnings were effective for conveying information about weather-related risks.
KW - Data mining
KW - Extreme events
KW - Precipitation
KW - Social Science
KW - Societal impacts
UR - https://www.scopus.com/pages/publications/85134496249
U2 - 10.1175/WCAS-D-21-0155.1
DO - 10.1175/WCAS-D-21-0155.1
M3 - Article
AN - SCOPUS:85134496249
SN - 1948-8327
VL - 14
SP - 813
EP - 822
JO - Weather, Climate, and Society
JF - Weather, Climate, and Society
IS - 3
ER -