Research On High-Speed Railway Passenger-Market Segmentation Based On Rough Set

With the continuous development of social economy, high-speed rail passenger line in the transportation market competition and diversification dual excitation mode of transport has become the trend of the future development of passenger rail. As an important part of the transport market, the right to determine the reasonable range of high-speed passenger rail market is particularly important. Subdivision has important theoretical and practical significance of Rough Set based on high-speed rail passenger line marketing.Passenger market segments identified by subdivision variables and rough set theory to determine the impact on the demand characteristics of individual consumers condition attributes and decision attributes, will make passenger transport companies develop different marketing strategies, his article is based on market segmentation theory and rough set theory has been studied empirical analysis to Wuhan-Guangzhou high-speed railway passenger line as an example of segmentation variables affect consumer behavior in the travel choice questionnaire designed in a way to combine the scene visit were collected and statistical data and the processed data were analyzed and summarized, select the appropriate segmentation variables as the condition attributes and decision attributes of the study. Data analysis shows that influence consumer choice behavior condition attributes travel mainly ride frequency, timetables satisfaction, timeliness, trip purpose, decision attribute as income level. Constructed using a single attribute decision model based on rough sets performed numerical example, the results show discrimination, and ultimately determine a reasonable and effective child passenger market segments, and then verify the feasibility and effectiveness of the subdivision.