[HTML][HTML] Mining daily activity chains from large-scale mobile phone location data
L Yin, N Lin, Z Zhao - Cities, 2021 - Elsevier
Understanding residents' daily activity chains provides critical support for various
applications in transportation, public health and many other related fields. Recently, mobile …
applications in transportation, public health and many other related fields. Recently, mobile …
Activity type detection of mobile phone data based on self-training: Application of the teacher–student cycling model
Incorporating mobile phone data, known for its high spatial and temporal resolution and
extensive population coverage, into Activity-Based Models (ABM) for understanding …
extensive population coverage, into Activity-Based Models (ABM) for understanding …
[PDF][PDF] Collection of Revealed Preference Mobility data of City Tourists–a Two-part Survey Design
Before the global Covid-19 pandemic, city tourism had been experiencing remarkable
growth. Between 2014 and 2019, the market share grew from 22% to 30%(IPK International …
growth. Between 2014 and 2019, the market share grew from 22% to 30%(IPK International …
Toward practical algorithms for activity chain optimization
D Esztergár-Kiss, V Remeli - Transportation Letters, 2021 - Taylor & Francis
ABSTRACT Activity Chain Optimization (ACO) is the task of finding a minimum-cost tour that
visits exactly one location for each required activity while respecting time window …
visits exactly one location for each required activity while respecting time window …