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International Journal of Urban Sciences Volume 23, 2019 - Issue 1
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Articles

Supervised association rules mining on pedestrian crashes in urban areas: identifying patterns for appropriate countermeasures

Subasish DasTexas A&M Transportation Institute (TTI), College Station, TX, USACorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-1671-2753
ORCID Icon,
Anandi DuttaComputer Science and Engineering Department, Texas A&M University, College Station, TX, USA
,
Raul AvelarTexas A&M Transportation Institute (TTI), College Station, TX, USA
,
Karen DixonTexas A&M Transportation Institute (TTI), College Station, TX, USA
,
Xiaoduan SunCivil Engineering Department, University of Louisiana at Lafayette, Lafayette, LA, USA
&
Mohammad JalayerCAIT Central Administration, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
Pages 30-48 | Received 17 Aug 2017, Accepted 16 Jan 2018, Published online: 28 Jan 2018

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Chenzhu Wang, Muhammad Ijaz, Fei Chen, Said M. Easa, Yunlong Zhang, Jianchuan Cheng & Muhammad Zahid. (2023) Temporal assessment of injury severities of two types of pedestrian-vehicle crashes using unobserved-heterogeneity models. Journal of Transportation Safety & Security 0:0, pages 1-50.
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Subasish Das, Anandi Dutta, Reuben Tamakloe & Md Nasim Khan. (2023) Analyzing the time-varying patterns of contributing factors in work zone-related crashes. Journal of Transportation Safety & Security 0:0, pages 1-28.
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Ankit Kumar Yadav, Sajid Shabir Choudhary, Nishant Mukund Pawar & Nagendra R. Velaga. (2023) Investigating the role of beliefs in influencing the hand-held and hands-free mobile phone use among pedestrians in India. International Journal of Injury Control and Safety Promotion 30:1, pages 79-90.
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Reuben Tamakloe, Enoch F. Sam, Madiha Bencekri, Subasish Das & Dongjoo Park. (2022) Mining groups of factors influencing bus/minibus crash severities on poor pavement condition roads considering different lighting status. Traffic Injury Prevention 23:5, pages 308-314.
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Subasish Das, Xiaoduan Sun, Sarvesh Goel, Ming Sun, Ashifur Rahman & Anandi Dutta. (2022) Flooding related traffic crashes: findings from association rules. Journal of Transportation Safety & Security 14:1, pages 111-129.
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Subasish Das, Anandi Dutta & Srinivas Reddy Geedipally. (2021) Applying Bayesian data mining to measure the effect of vehicular defects on crash severity. Journal of Transportation Safety & Security 13:6, pages 605-621.
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Seyed Alireza Samerei, Kayvan Aghabayk, Nirajan Shiwakoti & Sajjad Karimi. (2021) Modelling bus-pedestrian crash severity in the state of Victoria, Australia. International Journal of Injury Control and Safety Promotion 28:2, pages 233-242.
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Subasish Das, Anandi Dutta & Xiaoduan Sun. (2020) Patterns of rainy weather crashes: Applying rules mining. Journal of Transportation Safety & Security 12:9, pages 1083-1105.
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Amber Brooke Trueblood, Ashesh Pant, Jisung Kim, Hye-Chung Kum, Marcelina Perez, Subasish Das & Eva Monique Shipp. (2019) A semi-automated tool for identifying agricultural roadway crashes in crash narratives. Traffic Injury Prevention 20:4, pages 413-418.
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Albe Bing Zhe Chai, Bee Theng Lau, Mark Kit Tsun Tee & Christopher McCarthy. (2023) Comparative analysis of regional variations in road traffic accident patterns with association rule mining. EAI Endorsed Transactions on Pervasive Health and Technology 9.
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Santanu BarmanRanja Bandyopadhyaya. (2023) Analyzing Urban Midblock Crash Severity Outcomes Using Proposed Three-Step Pattern Clustering. Journal of Transportation Engineering, Part A: Systems 149:7.
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Ahmed Hossain, Xiaoduan Sun, Shahrin Islam, Shah Alam & Md. Mahmud Hossain. (2023) Identifying roadway departure crash patterns on rural two-lane highways under different lighting conditions: Association knowledge using data mining approach. Journal of Safety Research 85, pages 52-65.
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Ahmed Hossain, Xiaoduan Sun, Niaz Mahmud Zafri & Julius Codjoe. (2023) Investigating pedestrian crash patterns at high-speed intersection and road segments: Findings from the unsupervised learning algorithm. International Journal of Transportation Science and Technology.
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Ahmed Sajid Hasan, Mohammad Jalayer, Subasish Das & Md. Asif Bin Kabir. (2023) Application of machine learning models and SHAP to examine crashes involving young drivers in New Jersey. International Journal of Transportation Science and Technology.
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Xiaoqiang Kong, Subasish Das, Yunlong Zhang, Lingtao Wu & Jason Wallis. (2022) In-Depth Understanding of Near-Crash Events Through Pattern Recognition. Transportation Research Record: Journal of the Transportation Research Board 2676:12, pages 775-785.
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Chenwei Gu, Jinliang Xu, Chao Gao, Minghao Mu, Guangxun E & Yongji Ma. (2022) Multivariate analysis of roadway multi-fatality crashes using association rules mining and rules graph structures: A case study in China. PLOS ONE 17:10, pages e0276817.
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Yansong Qu, Zhenlong Li, Qin Liu, Mengniu Pan & Zihao Zhang. (2022) Crash/Near-Crash Analysis of Naturalistic Driving Data Using Association Rule Mining. Journal of Advanced Transportation 2022, pages 1-19.
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Tianchen Hou. (2022) Design of Travel Route Identification and Scheduling System Based on Artificial Intelligence-Aided Image Segmentation. Computational Intelligence and Neuroscience 2022, pages 1-11.
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Ahmed Hossain, Xiaoduan Sun, Raju Thapa & Julius Codjoe. (2022) Applying Association Rules Mining to Investigate Pedestrian Fatal and Injury Crash Patterns Under Different Lighting Conditions. Transportation Research Record: Journal of the Transportation Research Board 2676:6, pages 659-672.
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Maria Rella Riccardi, Filomena Mauriello, Sobhan Sarkar, Francesco Galante, Antonella Scarano & Alfonso Montella. (2022) Parametric and Non-Parametric Analyses for Pedestrian Crash Severity Prediction in Great Britain. Sustainability 14:6, pages 3188.
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Reem Elfatih Salman & Ayman Alzaatreh. (2022) Market Basket Analysis of Chicago Road Accidents. Market Basket Analysis of Chicago Road Accidents.
Reuben Tamakloe, Subasish Das, Eric Nimako Aidoo & Dongjoo Park. (2022) Factors affecting motorcycle crash casualty severity at signalized and non-signalized intersections in Ghana: Insights from a data mining and binary logit regression approach. Accident Analysis & Prevention 165, pages 106517.
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Jiarui Ou & Jianglin Zhang. (2022) Data Mining and Meta-Analysis of Psoriasis Based on Association Rules. Journal of Healthcare Engineering 2022, pages 1-11.
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Emre Esenturk, Albert G. Wallace, Siddartha Khastgir & Paul Jennings. (2022) Identification of Traffic Accident Patterns via Cluster Analysis and Test Scenario Development for Autonomous Vehicles. IEEE Access 10, pages 6660-6675.
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Xiaoqiang Kong, Subasish Das, Hongmin “Tracy” Zhou & Yunlong Zhang. (2021) Patterns of near-crash events in a naturalistic driving dataset: Applying rules mining. Accident Analysis & Prevention 161, pages 106346.
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Subasish Das, Reuben Tamakloe, Hamsa Zubaidi, Ihsan Obaid & Ali Alnedawi. (2021) Fatal pedestrian crashes at intersections: Trend mining using association rules. Accident Analysis & Prevention 160, pages 106306.
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Qiuyan Yao, Hui Yang, Bowen Bao, Ao Yu, Jie Zhang & Mohamed Cheriet. (2021) Core and Spectrum Allocation Based on Association Rules Mining in Spectrally and Spatially Elastic Optical Networks. IEEE Transactions on Communications 69:8, pages 5299-5311.
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Subasish Das. (2021) Autonomous vehicle safety: Understanding perceptions of pedestrians and bicyclists. Transportation Research Part F: Traffic Psychology and Behaviour 81, pages 41-54.
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Alfonso Montella, Filomena Mauriello, Mariano Pernetti & Maria Rella Riccardi. (2021) Rule discovery to identify patterns contributing to overrepresentation and severity of run-off-the-road crashes. Accident Analysis & Prevention 155, pages 106119.
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Sanbin Zhu. (2021) Smart Online University Party Building System Based on Association Rules Data Mining. Smart Online University Party Building System Based on Association Rules Data Mining.
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Grégoire S. Larue & Christopher N. Watling. (2021) Acceptance of visual and audio interventions for distracted pedestrians. Transportation Research Part F: Traffic Psychology and Behaviour 76, pages 369-383.
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Subasish Das, Sudipa Chatterjee & Sudeshna Mitra. 2021. Computational Methods and Data Engineering. Computational Methods and Data Engineering 561 575 .
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Md Nasim Khan, Anik Das & Mohamed M. Ahmed. (2020) Non-Parametric Association Rules Mining and Parametric Ordinal Logistic Regression for an In-Depth Investigation of Driver Speed Selection Behavior in Adverse Weather using SHRP2 Naturalistic Driving Study Data. Transportation Research Record: Journal of the Transportation Research Board 2674:11, pages 101-119.
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Lu ChenShengjun HuangCan YangQun Chen. (2020) Analyzing Factors that Influence Expressway Traffic Crashes Based on Association Rules: Using the Shaoyang–Xinhuang Section of the Shanghai–Kunming Expressway as an Example. Journal of Transportation Engineering, Part A: Systems 146:9.
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Xiaoqiang Kong, Subasish Das, Kartikeya Jha & Yunlong Zhang. (2020) Understanding speeding behavior from naturalistic driving data: Applying classification based association rule mining. Accident Analysis & Prevention 144, pages 105620.
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Jungyeol Hong, Reuben Tamakloe & Dongjoo Park. (2020) Application of association rules mining algorithm for hazardous materials transportation crashes on expressway. Accident Analysis & Prevention 142, pages 105497.
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Bilal Umut Ayhan, Neşet Berkay Doğan & Onur Behzat Tokdemir. (2020) AN ASSOCIATION RULE MINING MODEL FOR THE ASSESSMENT OF THE CORRELATIONS BETWEEN THE ATTRIBUTES OF SEVERE ACCIDENTS. JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 26:4, pages 315-330.
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Priyadarshini Natarajan, Sathish Kumar Sivasankaran & Venkatesh Balasubramanian. (2020) Identification of Contributing Factors in Vehicle Pedestrian Crashes in Chennai using Multiple Correspondence Analysis. Transportation Research Procedia 48, pages 3486-3495.
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Mingchen Feng, Jiangbin Zheng, Jinchang Ren & Yue Xi. 2020. Advances in Brain Inspired Cognitive Systems. Advances in Brain Inspired Cognitive Systems 520 529 .
Subasish Das, Apoorba Bibeka, Xiaoduan Sun, Hongmin “Tracy” Zhou & Mohammad Jalayer. (2019) Elderly Pedestrian Fatal Crash-Related Contributing Factors: Applying Empirical Bayes Geometric Mean Method. Transportation Research Record: Journal of the Transportation Research Board 2673:8, pages 254-263.
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S Saranyadevi, R Murugeswari & S Bathrinath. (2019) Road risk assessment using fuzzy Context-free Grammar based Association Rule Miner. Sādhanā 44:6.
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