Delineation of an urban community life circle based on a machine-learning estimation of spatiotemporal behavioral demand
C Li, W Xia, Y Chai - Chinese Geographical Science, 2021 - Springer
Delineating life circles is an essential prerequisite for urban community life circle planning.
Recent studies combined the environmental contexts with residents' global positioning …
Recent studies combined the environmental contexts with residents' global positioning …
Activity‐based model based on multi‐day cellular data: Considering the lack of personal attributes and activity type
Y Guo, F Yang, H Yan, S Xie, H Liu… - IET Intelligent Transport …, 2023 - Wiley Online Library
Cellular data is a sequence of base station‐interaction data that records user ID, timestamp,
location area code (LAC), and cell identity (CID). With long observation periods, the data …
location area code (LAC), and cell identity (CID). With long observation periods, the data …
A comparison of time-use behavior in metropolitan areas using pattern recognition techniques
M Allahviranloo, L Aissaoui - Transportation Research Part A: Policy and …, 2019 - Elsevier
A better understanding of the connection of urban forms and travel behavior is critical to the
operation of the existing and the design of the future transportation infrastructure. A …
operation of the existing and the design of the future transportation infrastructure. A …
Activity-based model based on long short-term memory network and mobile phone signalling data
Y Guo, F Yang, S Xie, Z Yao - Transportmetrica A: Transport …, 2024 - Taylor & Francis
With the advent of big data era, activity-based model (ABM) has once again become hot
topics in the traffic planning. Traffic big data can reflect individual travel patterns, making it …
topics in the traffic planning. Traffic big data can reflect individual travel patterns, making it …