Modeling Mode Choice Behavior Incorporating Household and Individual Sociodemographics and Travel Attributes Based on Rough Sets Theory
المؤلفون المشاركون
Chen, Xuewu
Cheng, Long
Wei, Ming
Wu, Jingxian
Hou, Xianyao
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-11-06
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Most traditional mode choice models are based on the principle of random utility maximization derived from econometric theory.
Alternatively, mode choice modeling can be regarded as a pattern recognition problem reflected from the explanatory variables of determining the choices between alternatives.
The paper applies the knowledge discovery technique of rough sets theory to model travel mode choices incorporating household and individual sociodemographics and travel information, and to identify the significance of each attribute.
The study uses the detailed travel diary survey data of Changxing county which contains information on both household and individual travel behaviors for model estimation and evaluation.
The knowledge is presented in the form of easily understood IF-THEN statements or rules which reveal how each attribute influences mode choice behavior.
These rules are then used to predict travel mode choices from information held about previously unseen individuals and the classification performance is assessed.
The rough sets model shows high robustness and good predictive ability.
The most significant condition attributes identified to determine travel mode choices are gender, distance, household annual income, and occupation.
Comparative evaluation with the MNL model also proves that the rough sets model gives superior prediction accuracy and coverage on travel mode choice modeling.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Cheng, Long& Chen, Xuewu& Wei, Ming& Wu, Jingxian& Hou, Xianyao. 2014. Modeling Mode Choice Behavior Incorporating Household and Individual Sociodemographics and Travel Attributes Based on Rough Sets Theory. Computational Intelligence and Neuroscience،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1034652
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Cheng, Long…[et al.]. Modeling Mode Choice Behavior Incorporating Household and Individual Sociodemographics and Travel Attributes Based on Rough Sets Theory. Computational Intelligence and Neuroscience No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1034652
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Cheng, Long& Chen, Xuewu& Wei, Ming& Wu, Jingxian& Hou, Xianyao. Modeling Mode Choice Behavior Incorporating Household and Individual Sociodemographics and Travel Attributes Based on Rough Sets Theory. Computational Intelligence and Neuroscience. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1034652
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1034652
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر