Point of interest (POI) data provide digital representations of places in the real world, and
have been increasingly used to understand human-place interactions, support urban …

We provide a comprehensive review of the literature on inferring activity-travel patterns
(ATP) using multi-source big data; the increasing number of publications over time on this …

The COVID-19 pandemic strongly affected the mobility of people. Several studies have
quantified these changes, for example, measuring the effectiveness of quarantine measures …

Bus operation scheduling is closely related to passenger flow. Accurate bus passenger flow
prediction can help improve urban bus planning and service quality and reduce the cost of …

Next point-of-interest (POI) recommendation has been applied by many internet companies
to enhance the user travel experience. Recent research advocates deep-learning methods …

In the recent decade, a new concept, urban community life circle (CLC), has been
introduced and widely applied to Chinese community planning and public service facilities …

An imbalance in urban development in China has become a contradiction. Points of Interest
(POIs) serve as representations of the spatial distribution of urban functions. Analyzing POI …

Incorporating mobile phone data, known for its high spatial and temporal resolution and
extensive population coverage, into Activity-Based Models (ABM) for understanding …

Many human activities, including daily travel, show a mix of stable, intermittent and changing
patterns in demand by individuals over time. However, the lack of continuous, long-term …

ABSTRACT Public Map Service Platforms (PMSPs) provide embedded map services in
domains such as forests and rivers. Users from different domains (Domain Users) prefer …