Conflating point of interest (POI) data: A systematic review of matching methods
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 …
have been increasingly used to understand human-place interactions, support urban …
Activity-travel pattern inference based on multi-source big data
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 …
(ATP) using multi-source big data; the increasing number of publications over time on this …
Estimation of trip purposes in public transport during the COVID-19 pandemic: The case of Santiago, Chile
The COVID-19 pandemic strongly affected the mobility of people. Several studies have
quantified these changes, for example, measuring the effectiveness of quarantine measures …
quantified these changes, for example, measuring the effectiveness of quarantine measures …
A bus passenger flow prediction model fused with point-of-interest data based on extreme gradient boosting
W Lv, Y Lv, Q Ouyang, Y Ren - Applied Sciences, 2022 - mdpi.com
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 …
prediction can help improve urban bus planning and service quality and reduce the cost of …
[HTML][HTML] Unveiling mobility patterns beyond home/work activities: A topic modeling approach using transit smart card and land-use data
N Aminpour, S Saidi - Travel Behaviour and Society, 2025 - Elsevier
In this paper, a probabilistic topic modeling algorithm called Latent Dirichlet Allocation (LDA)
is implemented to infer trip purposes from activity attributes revealed from smart card transit …
is implemented to infer trip purposes from activity attributes revealed from smart card transit …
Spatio-temporal intention learning for recommendation of next point-of-interest
H Li, P Yue, S Li, C Zhang, C Yang - Geo-spatial Information …, 2024 - Taylor & Francis
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 …
to enhance the user travel experience. Recent research advocates deep-learning methods …
Delineating Urban Community Life Circles for Large Chinese Cities Based on Mobile Phone Data and POI Data—The Case of Wuhan
H Jiao, M **ao - ISPRS International Journal of Geo-Information, 2022 - mdpi.com
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 …
introduced and widely applied to Chinese community planning and public service facilities …
Differences in Urban Development in China from the Perspective of Point of Interest Spatial Co-Occurrence Patterns
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 …
(POIs) serve as representations of the spatial distribution of urban functions. Analyzing POI …
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 …
CIAM: A data-driven approach for classifying long-term engagement of public transport riders at multiple temporal scales
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 …
patterns in demand by individuals over time. However, the lack of continuous, long-term …