Application of Grey Relational Analysis to Customer Demand for Facility in Sports Parks in Hsinchu County

• Main Authors: Yu-Ting Huang, 黃御庭
• Other Authors: Lee, Zonyau
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/00249757127247235964

碩士 === 開南大學 === 商學院碩士在職專班 === 100 === After the policy of two days off in one week since 2001 in Taiwan, the awareness of taking holiday or leisure time is on the rise. Coupling with the prevalence of sports and strong advocacy of exercise and fitness brought by doctors, scholars and media, it makes people realize the benefit of exercise leads to healthy living. The demand for recreational space in metropolitan area is also increasing. Hence, It is important for government to plan sports facility construction or review existing devices, and consider the key indicators to organize international or national sports infrastructure. This research aims to identify the impact level of those considering factors from the viewpoints of sports population in Hsinchu County towards Sports Park. The purpose of this study has three folds: 1) Summarize the key issues through holistic literature review in the area of sports, health, leisure and sports facilities. Then conduct the questionnaire survey to existing and potential target population. 2) The gray relational method is used to construct a research model and validation including descriptive statistics to investigate the influence degree between the variables. 3) Provide suggestion to government based on empirical results to better plan public sports facilities projects in Hsinchu County and avoid empty and useless construction waste. This study has collected 1496 valid questionnaires and conducts descriptive statistics analysis and inference test (causality). The research results have revealed that most desired free field is outdoor basketball (8.1%). The highest demand of paid place is indoor swimming pool (6.8%). According to gray relational analysis: (1) in terms of disposable money on exercise per month, the marital status has the highest grey relational level; (2) in terms of disposable money on exercise for regular user, the average exercise time has the highest grey relational level; (3) in terms of disposable money on exercise per month, the average exercise time on paid site has the highest grey relational level; (4) in terms of people with exercise habit and disposable money on exercise per month, the exercise time slots has the highest grey relational level; (5) regardless the respondents have exercise habit, the ratio of exercise investment and total income has the highest grey relational level; (6) for regular exercise user and only use free site, the ratio of exercise investment and total income has the highest grey relational level. Two suggestions are described: 1) it is suggested to refer the ratio of exercise investment compared to total income to design paid sports park, since this ratio is the key indicator. It also can be adjusted based on marital status and average time to utilize these sports. 2) Sports Park Facility selection site is also proposed. The high rank of paid indoor exercise is swimming, basketball, fitness, badminton and aerobic