| Evaluating the capability of walkability audit tools for assessing sidewalks M Aghaabbasi, M Moeinaddini, M Zaly Shah, Z Asadi Shekari, ... Sustainable Cities and Society 37 (2018), 475-484, 2018 | 98 | 2018 |
| A new assessment model to evaluate the microscale sidewalk design factors at the neighbourhood level M Aghaabbasi, M Moeinaddini, MZ Shah, Z Asadi-Shekari Journal of Transport & Health 5 (1), 97-112, 2017 | 78 | 2017 |
| Predicting the use frequency of ride-sourcing by off-campus university students through random forest and Bayesian network techniques M Aghaabbasi, Z Asadi Shekari, M Zaly Shah, O Olakunle, ... Transportation Research Part A: Policy and Practice 136 (June 2020), 262-281, 2020 | 61 | 2020 |
| The equitable use concept in sidewalk design M Aghaabbasi, M Moeinaddini, Z Asadi-Shekari, MZ Shah Cities 88, 181-190, 2019 | 41 | 2019 |
| Applying non-parametric models to explore urban life satisfaction in European cities M Moeinaddini, Z Asadi-Shekari, M Aghaabbasi, I Saadi, M Zaly Shah, ... Cities 105 (October), 102851, 2020 | 34 | 2020 |
| Addressing issues in the use of Google tools for assessing pedestrian built environments M Aghaabbasi, M Moeinaddini, M Zaly Shah, Z Asadi-Shekari Journal of Transport Geography 73 (c), 185-198, 2018 | 30 | 2018 |
| Exploring effective micro-level items for evaluating inclusive walking facilities on urban streets (applied in Johor Bahru, Malaysia) Z Asadi-Shekari, M Moeinaddini, M Aghaabbasi, M Cools, MZ Shah Sustainable cities and society 49, 101563, 2019 | 27 | 2019 |
| An advanced machine learning approach to predicting pedestrian fatality caused by road crashes: A step toward sustainable pedestrian safety W Tao, M Aghaabbasi, M Ali, AH Almaliki, R Zainol, AA Almaliki, ... Sustainability 14 (4), 2436, 2022 | 26 | 2022 |
| Proposing a new score to measure personal happiness by identifying the contributing factors M Moeinaddini, Z Asadi-Shekari, M Aghaabbasi, I Saadi, MZ Shah, ... Measurement 151, 107115, 2020 | 25 | 2020 |
| Classification of imbalanced travel mode choice to work data using adjustable SVM model Y Qian, M Aghaabbasi, M Ali, M Alqurashi, B Salah, R Zainol, ... Applied Sciences 11 (24), 11916, 2021 | 21 | 2021 |
| On hyperparameter optimization of machine learning methods using a Bayesian optimization algorithm to predict work travel mode choice M Aghaabbasi, M Ali, M Jasiński, Z Leonowicz, T Novák IEEE Access 11, 19762-19774, 2023 | 17 | 2023 |
| Comparative analysis of the optimized KNN, SVM, and ensemble DT models using Bayesian optimization for predicting pedestrian fatalities: an advance towards realizing the … L Yang, M Aghaabbasi, M Ali, A Jan, B Bouallegue, MF Javed, NM Salem Sustainability 14 (17), 10467, 2022 | 16 | 2022 |
| Understanding and predicting the usage of shared electric scooter services on university campuses SMH Moosavi, Z Ma, DJ Armaghani, M Aghaabbasi, MD Ganggayah, ... Applied Sciences 12 (18), 9392, 2022 | 15 | 2022 |
| Approaching sustainable bike-sharing development: a systematic review of the influence of built environment features on bike-sharing ridership L Zhu, M Ali, E Macioszek, M Aghaabbasi, A Jan Sustainability 14 (10), 5795, 2022 | 14 | 2022 |
| Hybrid Bayesian network models to investigate the impact of built environment experience before adulthood on students’ tolerable travel time to campus: Towards sustainable … Y Chen, M Aghaabbasi, M Ali, S Anciferov, L Sabitov, S Chebotarev, ... Sustainability 14 (1), 325, 2021 | 11 | 2021 |
| Targeting sustainable transportation development: The support vector machine and the Bayesian optimization algorithm for classifying household vehicle ownership Z Xu, M Aghaabbasi, M Ali, E Macioszek Sustainability 14 (17), 11094, 2022 | 8 | 2022 |
| Nonlinear relationships between vehicle ownership and Household travel characteristics and built environment Attributes in the US using the XGBT algorithm T Ma, M Aghaabbasi, M Ali, R Zainol, A Jan, AM Mohamed, A Mohamed Sustainability 14 (6), 3395, 2022 | 8 | 2022 |
| How sustainable is people’s travel to reach public transit stations to go to work? A machine learning approach to reveal complex relationships P Tang, M Aghaabbasi, M Ali, A Jan, AM Mohamed, A Mohamed Sustainability 14 (7), 3989, 2022 | 7 | 2022 |
| Measurement quality appraisal instrument for evaluation of walkability assessment tools based on walking needs S Tabatabaee, M Aghaabbasi, A Mahdiyar, R Zainol, S Ismail Sustainability 13 (20), 11342, 2021 | 7 | 2021 |
| Machine learning techniques for evaluating the nonlinear link between built-environment characteristics and travel behaviors: a systematic review M Aghaabbasi, S Chalermpong Travel behaviour and society 33, e100640-e100640, 2023 | 6 | 2023 |
Mehdi MoeinaddiniQueen's University Belfast, UK在 qub.ac.uk 的电子邮件经过验证
