TY - GEN
T1 - Data-Driven Agent-Based Model of Intra-Urban Activities
AU - Gong, Shuhui
AU - Cartlidge, John
AU - Bai, Ruibin
AU - Yue, Yang
AU - Li, Qingquan
AU - Qiu, Guoping
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/5
Y1 - 2020/5
N2 - We propose an agent-based model (ABM) to simulate city-scale intra-urban activities and movements. We calibrate the ABM for New York City, using NYC Open Data trip diaries and taxi journeys. Model validation demonstrates that the ABM is able to accurately predict activity demand across the city. Further, when a new hospital wing is opened in Queens, a central district of New York City, the ABM is shown to accurately predict increased shopping demand on Staten Island, an isolated area located at the edge of the city. This demonstrates the value of applying ABM to simulate intra-urban movements and activities, offering dynamic scenario testing that is not available in many other forms of modelling.
AB - We propose an agent-based model (ABM) to simulate city-scale intra-urban activities and movements. We calibrate the ABM for New York City, using NYC Open Data trip diaries and taxi journeys. Model validation demonstrates that the ABM is able to accurately predict activity demand across the city. Further, when a new hospital wing is opened in Queens, a central district of New York City, the ABM is shown to accurately predict increased shopping demand on Staten Island, an isolated area located at the edge of the city. This demonstrates the value of applying ABM to simulate intra-urban movements and activities, offering dynamic scenario testing that is not available in many other forms of modelling.
KW - activity analysis
KW - agent-based modeling
KW - travel behaviour analysis
UR - http://www.scopus.com/inward/record.url?scp=85085945528&partnerID=8YFLogxK
U2 - 10.1109/ICBDA49040.2020.9101327
DO - 10.1109/ICBDA49040.2020.9101327
M3 - Conference contribution
AN - SCOPUS:85085945528
T3 - 2020 5th IEEE International Conference on Big Data Analytics, ICBDA 2020
SP - 160
EP - 166
BT - 2020 5th IEEE International Conference on Big Data Analytics, ICBDA 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE International Conference on Big Data Analytics, ICBDA 2020
Y2 - 8 May 2020 through 11 May 2020
ER -