Recent progress in activity-based travel demand modeling: rising data and applicability
A Tajaddini, G Rose, KM Kockelman… - … and Technologies for …, 2020 - books.google.com
Over 30 years have passed since activity-based travel demand models (ABMs) emerged to
overcome the limitations of the preceding models which have dominated the field for over 50 …
overcome the limitations of the preceding models which have dominated the field for over 50 …
How do young people move around in urban spaces?: Exploring trip patterns of generation-Z in urban areas by examining travel histories on Google Maps Timeline
Generation Zs have become dominant in the urban areas of various metropolitan cities
worldwide, including in developing countries such as Indonesia. Their number has been …
worldwide, including in developing countries such as Indonesia. Their number has been …
Application of a taxi-based mobile atmospheric monitoring system in Cangzhou, China
Increasing air pollution as a result of rapid urbanization is of growing concern worldwide,
particularly in populous developing countries. Sparse routine monitoring stations are not …
particularly in populous developing countries. Sparse routine monitoring stations are not …
A machine learning-based ensemble model for estimating diurnal variations of nitrogen oxide concentrations in Taiwan
Air pollution is inextricable from human activity patterns. This is especially true for nitrogen
oxide (NO x), a pollutant that exists naturally and also as a result of anthropogenic factors …
oxide (NO x), a pollutant that exists naturally and also as a result of anthropogenic factors …
The impact of Cold-start emissions on air pollution exposure during active travel
In emissions modeling, emissions released during cold starts are often underestimated,
especially at the network level. This study quantifies the impact of cold-start emissions on …
especially at the network level. This study quantifies the impact of cold-start emissions on …
The Impact of Individual Mobility on Long-Term Exposure to Ambient PM2.5: Assessing Effect Modification by Travel Patterns and Spatial Variability of PM2.5
The impact of individuals' mobility on the degree of error in estimates of exposure to ambient
PM 2.5 concentrations is increasingly reported in the literature. However, the degree to …
PM 2.5 concentrations is increasingly reported in the literature. However, the degree to …
Impact of short-and long-term exposure to air pollution on lipid profile in adults aged 20 to 69 years in Tehran Province, Iran
There are inconsistent findings concerning the impact of air pollution on different lipid
measures and there is a lack of data for the highly polluted Middle East and North Africa …
measures and there is a lack of data for the highly polluted Middle East and North Africa …
Machine Learning-Based Activity Pattern Classification Using Personal PM2.5 Exposure Information
JS Park, S Kim - International Journal of Environmental Research and …, 2020 - mdpi.com
The activity pattern is a significant factor in identifying hotspots of personal exposure to air
pollutants, such as PM2. 5. However, the recording process of an activity pattern can be …
pollutants, such as PM2. 5. However, the recording process of an activity pattern can be …
Comparative Analysis of AERMOD-Predicted Pollutant Concentrations by Input Source Type in Atlanta, GA
This research investigates the differences in AERMOD-predicted pollutant concentrations
across input source types (AREAPOLY, VOLUME, LINE, RLINE, and RLINEXT without …
across input source types (AREAPOLY, VOLUME, LINE, RLINE, and RLINEXT without …
Long-term Association between NO2 and Human Mobility: A Two-year Spatiotemporal Study during the COVID-19 Pandemic in Southeast Asia
Z Liu, Y Li, A Law, JYK Tan, WH Chua, Y Zhu, CC Feng… - medRxiv, 2022 - medrxiv.org
Since the COVID-19 pandemic, governments have implemented lockdowns and movement
restrictions to contain the disease outbreak. Previous studies have reported a significant …
restrictions to contain the disease outbreak. Previous studies have reported a significant …