| Summary: | 碩士 === 輔仁大學 === 織品服裝學系碩士班 === 105 === The study of consumers’ preferences for cycling apparel product attributes was inspired by recent years due to the popularity of this activity at the weekends, plus global environment has been dramatically polluted by human nature. It has caused rapid global climate change and the gradual shortage of natural resources. Therefore many people have started paying attention to saving energy or reducing their carbon footprint, this helps lifestyle, health and sustainability concepts which have become more and more popular in recent years. This undeniable consumer power has attracted multinational corporations as well as small to medium enterprises proceeding to cooperate in the undertaking of social responsibility. Many developed countries are now promoting environmental protection and as well as encouraging people to engage in wholesome sports. Specifically, the promotion of riding bicycles is greatly helpful in reducing pollution and carbon emission. As well as to encouraging people to ride their own bikes and further more to promote and extend public bicycle users such as U-Bike.
The river side cycling path has existed for a number of years and has been recently developed in more and more counties. For instance, more and more people are riding bicycles on weekends in Taipei and New Taipei City. Most riders’ preferences have gradually increased, but they are unsatisfied with basic outfits such as climate, type of bicycle, bicycles apparel and relevant facilities. Particularly, bicycles apparel has directly impacted riding comfort and performance. How to classify and improve the performance of bicycle apparel has become gradually valued by more and more riders.
Therefore, this study investigates in groups of bicycle riders object news, past literature and web information to sum up the results of twenty-three attributes. In addition, based on demographic variables issuance of questionnaires and after having used the SPSS statistical software analysis of questionnaires data, the data analysis methods included descriptive statistics, factor analysis, reliability analysis and cluster analysis.
The results of the study have found that factors were advocating on functional property between age and incomes have significant difference. It also sums up between product attributes and demographic variables of impact on riders. The result of this study is expected to provide the result to help the relative industry for the future product quality improvements and to understand this particular group preference of attributes for future marketing reference.
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