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Capturing the Characteristics of Car-Sharing Users: Data-Driven Analysis and Prediction Based on Classification
المؤلفون المشاركون
Bi, Jun
Zhang, Jun
Zhi, Ru
Xie, Dong-Fan
Zhao, Xiao-Mei
المصدر
Journal of Advanced Transportation
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-03-09
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
This work explores the characteristics of the usage behaviour of station-based car-sharing users based on the actual operation data from a car-sharing company in Gansu, China.
We analyse the characteristics of the users’ demands, such as usage frequency and order quantity, for a day with 24 1 h time intervals.
Results show that most car-sharing users are young and middle-aged men with a low reuse rate.
The distribution of users’ usage during weekdays shows noticeable morning and evening peaks.
We define two attributes, namely, the latent ratio and persistence ratio, as classification indicators to understand the user diversity and heterogeneity thoroughly.
We apply the k-means clustering algorithm to group the users into four categories, namely, lost, early loyal, late loyal, and motivated users.
The usage characteristics of lost users, including maximum rental time and travel distance, minimum percentage of same pickup and return station, and low percentage of locals, have noticeable differences from those of the other users.
Late loyal users have lower rental time and travel distance than those of the other users.
This manifestation is in line with the short-term lease of shared cars to complete short- and medium-distance travel design concepts.
We also propose a model that predicts the driver cluster based on the decision tree.
Numerical tests indicate that the accuracy is 91.61% when the user category is predicted four months in advance using the observation-to-judgment period ratio of 3 : 1.
The results in this study can support enterprises in user management.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Bi, Jun& Zhi, Ru& Xie, Dong-Fan& Zhao, Xiao-Mei& Zhang, Jun. 2020. Capturing the Characteristics of Car-Sharing Users: Data-Driven Analysis and Prediction Based on Classification. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1175652
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Bi, Jun…[et al.]. Capturing the Characteristics of Car-Sharing Users: Data-Driven Analysis and Prediction Based on Classification. Journal of Advanced Transportation No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1175652
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Bi, Jun& Zhi, Ru& Xie, Dong-Fan& Zhao, Xiao-Mei& Zhang, Jun. Capturing the Characteristics of Car-Sharing Users: Data-Driven Analysis and Prediction Based on Classification. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1175652
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1175652
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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