A meta-analytic review of the association between the built environment and integrated usage of rail transport and bike-sharing von Aghaabbasi, Mahdi, Chalermpong, Saksith

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On Hyperparameter Optimization of Machine Learning Methods Using a Bayesian Optimization Algorithm to Predict Work Travel Mode Choice von Aghaabbasi, Mahdi, Ali, Mujahid, Jasinski, Michal, Leonowicz, Zbigniew, Novak, Tomas

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Classification of Imbalanced Travel Mode Choice to Work Data Using Adjustable SVM Model von Qian, Yufeng, Aghaabbasi, Mahdi, Ali, Mujahid, Alqurashi, Muwaffaq, Salah, Bashir, Zainol, Rosilawati, Moeinaddini, Mehdi, Hussein, Enas E.

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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 von Seyed Mohammad Hossein Moosavi, Mahdi Aghaabbasi, Choon Wah Yuen, Danial Jahed Armaghani

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Understanding and Predicting the Usage of Shared Electric Scooter Services on University Campuses von Moosavi, Seyed Mohammad Hossein, Ma, Zhenliang, Armaghani, Danial Jahed, Aghaabbasi, Mahdi, Ganggayah, Mogana Darshini, Wah, Yuen Choon, Ulrikh, Dmitrii Vladimirovich

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Machine learning techniques for evaluating the nonlinear link between built-environment characteristics and travel behaviors: A systematic review von Aghaabbasi, Mahdi, Chalermpong, Saksith

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Potentials of digital twin system for analyzing travel behavior decisions von Aghaabbasi, Mahdi, Sabri, Soheil

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Predicting the use frequency of ride-sourcing by off-campus university students through random forest and Bayesian network techniques von Aghaabbasi, Mahdi, Shekari, Zohreh Asadi, Shah, Muhammad Zaly, Olakunle, Oloruntobi, Armaghani, Danial Jahed, Moeinaddini, Mehdi

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Addressing issues in the use of Google tools for assessing pedestrian built environments von Aghaabbasi, Mahdi, Moeinaddini, Mehdi, Shah, Muahammad Zaly, Asadi-Shekari, Zohreh

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The equitable use concept in sidewalk design von Aghaabbasi, Mahdi, Moeinaddini, Mehdi, Asadi-Shekari, Zohreh, Shah, Muhammad Zaly

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Measurement Quality Appraisal Instrument for Evaluation of Walkability Assessment Tools Based on Walking Needs von Tabatabaee, Sanaz, Aghaabbasi, Mahdi, Mahdiyar, Amir, Zainol, Rosilawati, Ismail, Syuhaida

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Approaching Sustainable Bike-Sharing Development: A Systematic Review of the Influence of Built Environment Features on Bike-Sharing Ridership von Zhu, Lidong, Ali, Mujahid, Macioszek, Elżbieta, Aghaabbasi, Mahdi, Jan, Amin

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Applying non-parametric models to explore urban life satisfaction in European cities von Moeinaddini, Mehdi, Asadi-Shekari, Zohreh, Aghaabbasi, Mahdi, Saadi, Ismaïl, Shah, Muhammad Zaly, Cools, Mario

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Targeting Sustainable Transportation Development: The Support Vector Machine and the Bayesian Optimization Algorithm for Classifying Household Vehicle Ownership von Xu, Zhiqiang, Aghaabbasi, Mahdi, Ali, Mujahid, Macioszek, Elżbieta

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A new assessment model to evaluate the microscale sidewalk design factors at the neighbourhood level von Aghaabbasi, Mahdi, Moeinaddini, Mehdi, Zaly Shah, Muhammad, Asadi-Shekari, Zohreh

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An Advanced Machine Learning Approach to Predicting Pedestrian Fatality Caused by Road Crashes: A Step toward Sustainable Pedestrian Safety von Tao, Wenlong, Aghaabbasi, Mahdi, Ali, Mujahid, Almaliki, Abdulrazak H., Zainol, Rosilawati, Almaliki, Abdulrhman A., Hussein, Enas E.

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Evaluating the capability of walkability audit tools for assessing sidewalks von Aghaabbasi, Mahdi, Moeinaddini, Mehdi, Zaly Shah, Muhammad, Asadi-Shekari, Zohreh, Arjomand Kermani, Mehdi

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Exploring effective micro-level items for evaluating inclusive walking facilities on urban streets (applied in Johor Bahru, Malaysia) von Asadi-Shekari, Zohreh, Moeinaddini, Mehdi, Aghaabbasi, Mahdi, Cools, Mario, Zaly Shah, Muhammad

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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 Sustainabl... von Yang, Lei, Aghaabbasi, Mahdi, Ali, Mujahid, Jan, Amin, Bouallegue, Belgacem, Javed, Muhammad Faisal, Salem, Nermin M

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Proposing a new score to measure personal happiness by identifying the contributing factors von Moeinaddini, Mehdi, Asadi-Shekari, Zohreh, Aghaabbasi, Mahdi, Saadi, Ismaïl, Zaly Shah, Muhammad, Cools, Mario

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