Big Data Analytics for Modelling Consumer Preferences and Satisfaction in Public Transportation

被引：0
|
作者：
Dzhabarova, Yulia [1 ]
Erturk, Aygun [1 ]
Kabaivanov, Stanimir [1 ]
机构：
[1] Plovdiv Univ Paisii Hilendarski, Plovdiv, Bulgaria
来源：
SMART ENERGY FOR SMART TRANSPORT, CSUM2022 | 2023年
关键词：
Big data analytics; Consumer behavior; Customer satisfaction; PERCEIVED SERVICE QUALITY; CAR;
D O I：
10.1007/978-3-031-23721-8_38
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
In this paper we develop a model to estimate and analyze consumer preferences and satisfaction from public transportation services. Unlike many other studies in this area, our approach is based on use of big data from multiple sources and allows to achieve continuous and precise estimation of consumer behavior. These results can be used then to adjust parameters of the transportation plans, schedules and asset allocation. We build the model with available data from INNOAIR project in Sofia.
引用
收藏
页码：451 / 467
页数：17
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