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A meta-analytic review of the association between the built environment and integrated usage of rail transport and bike-sharing

Transportation research interdisciplinary perspectives, 2023-09, Vol.21, p.100860, Article 100860

2023

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On Hyperparameter Optimization of Machine Learning Methods Using a Bayesian Optimization Algorithm to Predict Work Travel Mode Choice

IEEE access, 2023, Vol.11, p.19762-19774

2023

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Classification of Imbalanced Travel Mode Choice to Work Data Using Adjustable SVM Model

Applied sciences, 2021-12, Vol.11 (24), p.11916

2021

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Evaluation of Applicability and Accuracy of Bus Travel Time Prediction in High and Low Frequency Bus Routes Using Tree-Based ML Techniques

Journal of soft computing in civil engineering, 2023-04, Vol.7 (2), p.74-97

2023

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Understanding and Predicting the Usage of Shared Electric Scooter Services on University Campuses

Applied sciences, 2022-09, Vol.12 (18), p.9392

2022

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Machine learning techniques for evaluating the nonlinear link between built-environment characteristics and travel behaviors: A systematic review

Travel, behaviour & society, 2023-10, Vol.33, p.100640, Article 100640

2023

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Potentials of digital twin system for analyzing travel behavior decisions

Travel, behaviour & society, 2025-01, Vol.38, p.100902, Article 100902

2025

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Predicting the use frequency of ride-sourcing by off-campus university students through random forest and Bayesian network techniques

Transportation research. Part A, Policy and practice, 2020-06, Vol.136, p.262-281

2020

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Addressing issues in the use of Google tools for assessing pedestrian built environments

Journal of transport geography, 2018-12, Vol.73, p.185-198

2018

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The equitable use concept in sidewalk design

Cities, 2019-05, Vol.88, p.181-190

2019

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Measurement Quality Appraisal Instrument for Evaluation of Walkability Assessment Tools Based on Walking Needs

Sustainability, 2021-10, Vol.13 (20), p.11342

2021

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Targeting Sustainable Transportation Development: The Support Vector Machine and the Bayesian Optimization Algorithm for Classifying Household Vehicle Ownership

Sustainability, 2022-09, Vol.14 (17), p.11094

2022

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Approaching Sustainable Bike-Sharing Development: A Systematic Review of the Influence of Built Environment Features on Bike-Sharing Ridership

Sustainability, 2022-05, Vol.14 (10), p.5795

2022

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Applying non-parametric models to explore urban life satisfaction in European cities

Cities, 2020-10, Vol.105, p.102851, Article 102851

2020

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A new assessment model to evaluate the microscale sidewalk design factors at the neighbourhood level

Journal of transport & health, 2017-06, Vol.5, p.97-112

2017

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An Advanced Machine Learning Approach to Predicting Pedestrian Fatality Caused by Road Crashes: A Step toward Sustainable Pedestrian Safety

Sustainability, 2022-02, Vol.14 (4), p.2436

2022

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Evaluating the capability of walkability audit tools for assessing sidewalks

Sustainable cities and society, 2018-02, Vol.37, p.475-484

2018

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Exploring effective micro-level items for evaluating inclusive walking facilities on urban streets (applied in Johor Bahru, Malaysia)

Sustainable cities and society, 2019-08, Vol.49, p.101563, Article 101563

2019

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Proposing a new score to measure personal happiness by identifying the contributing factors

Measurement : journal of the International Measurement Confederation, 2020-02, Vol.151, p.107115, Article 107115

2020

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Comparative Analysis of the Optimized KNN, SVM, and Ensemble DT Models Using Bayesian Optimization for Predicting Pedestrian Fatalities: An Advance towards Realizing the Sustainable Safety of Pedestrians

Sustainability, 2022-08, Vol.14 (17), p.10467

2022

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Hybrid Bayesian Network Models to Investigate the Impact of Built Environment Experience before Adulthood on Students’ Tolerable Travel Time to Campus: Towards Sustainable Commute Behavior

Sustainability, 2022-01, Vol.14 (1), p.325

2022

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Nonlinear Relationships between Vehicle Ownership and Household Travel Characteristics and Built Environment Attributes in the US Using the XGBT Algorithm

Sustainability, 2022-03, Vol.14 (6), p.3395

2022

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How Sustainable Is People’s Travel to Reach Public Transit Stations to Go to Work? A Machine Learning Approach to Reveal Complex Relationships

Sustainability, 2022-04, Vol.14 (7), p.3989

2022

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Investigating the Use of Active Transportation Modes Among University Employees Through an Advanced Decision Tree Algorithm

Civil and Sustainable Urban Engineering, 2021-11, Vol.1 (1), p.26-49

2021

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A meta-analytic review of the association between the built environment and integrated usage of rail transport and bike-sharing

On Hyperparameter Optimization of Machine Learning Methods Using a Bayesian Optimization Algorithm to Predict Work Travel Mode Choice

Classification of Imbalanced Travel Mode Choice to Work Data Using Adjustable SVM Model

Evaluation of Applicability and Accuracy of Bus Travel Time Prediction in High and Low Frequency Bus Routes Using Tree-Based ML Techniques

Understanding and Predicting the Usage of Shared Electric Scooter Services on University Campuses

Machine learning techniques for evaluating the nonlinear link between built-environment characteristics and travel behaviors: A systematic review

Potentials of digital twin system for analyzing travel behavior decisions

Predicting the use frequency of ride-sourcing by off-campus university students through random forest and Bayesian network techniques

Addressing issues in the use of Google tools for assessing pedestrian built environments

The equitable use concept in sidewalk design

Measurement Quality Appraisal Instrument for Evaluation of Walkability Assessment Tools Based on Walking Needs

Targeting Sustainable Transportation Development: The Support Vector Machine and the Bayesian Optimization Algorithm for Classifying Household Vehicle Ownership

Approaching Sustainable Bike-Sharing Development: A Systematic Review of the Influence of Built Environment Features on Bike-Sharing Ridership

Applying non-parametric models to explore urban life satisfaction in European cities

A new assessment model to evaluate the microscale sidewalk design factors at the neighbourhood level

An Advanced Machine Learning Approach to Predicting Pedestrian Fatality Caused by Road Crashes: A Step toward Sustainable Pedestrian Safety

Evaluating the capability of walkability audit tools for assessing sidewalks

Exploring effective micro-level items for evaluating inclusive walking facilities on urban streets (applied in Johor Bahru, Malaysia)

Proposing a new score to measure personal happiness by identifying the contributing factors

Comparative Analysis of the Optimized KNN, SVM, and Ensemble DT Models Using Bayesian Optimization for Predicting Pedestrian Fatalities: An Advance towards Realizing the Sustainable Safety of Pedestrians

Hybrid Bayesian Network Models to Investigate the Impact of Built Environment Experience before Adulthood on Students’ Tolerable Travel Time to Campus: Towards Sustainable Commute Behavior

Nonlinear Relationships between Vehicle Ownership and Household Travel Characteristics and Built Environment Attributes in the US Using the XGBT Algorithm

How Sustainable Is People’s Travel to Reach Public Transit Stations to Go to Work? A Machine Learning Approach to Reveal Complex Relationships

Investigating the Use of Active Transportation Modes Among University Employees Through an Advanced Decision Tree Algorithm

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