Data analytics in the supply chain management: Review of machine learning applications in demand forecasting
A Aamer, LP Eka Yani… - Operations and Supply …, 2020 - journal.oscm-forum.org
In today's fast-paced global economy coupled with the availability of mobile internet and
social networks, several business models have been disrupted. This disruption brings a …
social networks, several business models have been disrupted. This disruption brings a …
A systematic review of machine learning classification methodologies for modelling passenger mode choice
Abstract Machine Learning (ML) approaches are increasingly being investigated as an
alternative to Random Utility Models (RUMs) for modelling passenger mode choice. These …
alternative to Random Utility Models (RUMs) for modelling passenger mode choice. These …
To walk or not to walk? Examining non-linear effects of streetscape greenery on walking propensity of older adults
Population aging is a conspicuous demographic trend shaping the world profoundly.
Walking is a critical travel mode and physical activity for older adults. As such, there is a …
Walking is a critical travel mode and physical activity for older adults. As such, there is a …
Examining non-linear built environment effects on elderly's walking: A random forest approach
Previous studies often assume a pre-specified relationship between walking and the built
environment. Using data from 702 older adults in Nanjing (China), this study employs a …
environment. Using data from 702 older adults in Nanjing (China), this study employs a …
Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models
Some recent studies have shown that machine learning can achieve higher predictive
accuracy than logit models. However, existing studies rarely examine behavioral outputs …
accuracy than logit models. However, existing studies rarely examine behavioral outputs …
Nonlinear and synergistic effects of TOD on urban vibrancy: Applying local explanations for gradient boosting decision tree
Urban vibrancy can facilitate human activities and social interactions, attract capital and
talent, enhance competitiveness and creativity, maintain resilience, and finally achieve a …
talent, enhance competitiveness and creativity, maintain resilience, and finally achieve a …
Non-linear associations between built environment and active travel for working and shopping: An extreme gradient boosting approach
Active travel has environmental, social, and public health-related benefits. Researchers from
diverse domains have extensively studied built-environment associations with active travel …
diverse domains have extensively studied built-environment associations with active travel …
Predicting the travel mode choice with interpretable machine learning techniques: A comparative study
MT Kashifi, A Jamal, MS Kashefi… - Travel Behaviour and …, 2022 - Elsevier
Prediction of mode choice for travelers has been the subject of keen interest among
transportation planners. Traditionally, mode choice analysis is conducted by statistical …
transportation planners. Traditionally, mode choice analysis is conducted by statistical …
Predicting types of occupational accidents at construction sites in Korea using random forest model
K Kang, H Ryu - Safety Science, 2019 - Elsevier
Although industrial accident rates are gradually decreasing in Korea, the construction
industry's accident rate is still higher compared with other industries. Human errors, mentally …
industry's accident rate is still higher compared with other industries. Human errors, mentally …
Identifying key factors associated with ridesplitting adoption rate and modeling their nonlinear relationships
Ridesharing is critical for promoting transportation sustainability. As a new form of
ridesharing services, ridesplitting has rarely been studied. Based on the Chicago …
ridesharing services, ridesplitting has rarely been studied. Based on the Chicago …