Comparison of behavioral research studies regarding the selection and use of vans, buses passing through the border point in Thailand. Thailand-Laos friendship bridge case study aims to 1) to analyze the factors that affect the choice of a public transport service in the province of Nongkhai area through Thailand-Laos friendship bridge border province Nong Khai 2) to study the satisfaction level towards passengers.Use public transport. At the Thailand-Laos friendship bridge crossing, Nongkhai province. 3) to achieve effective and efficient services in accordance with changes in the current era. Sample list of 800 has a number of tools that are used in research as a query. The statistics used in this research is to analyze statistically average percentage by using values section of the standard t-test and F-test records to evade (ANOVA) by the respondent used vans, mainly female, age 35-44 year career, personal business/trading income per month 5000 THB 10000 – respondents who use the bus service between the countries, mainly female, age 45 years or more private business career/trade. Revenue per month 5000 THB 10000 – analysis results, select use the vans and buses to the point of crossing between the countries Thailand. A case study of Thailand-Laos friendship bridge Overall, when considered as a side list, find that the satisfaction level towards the marketing mix factors, user van and bus transit point in Thailand. A case study of Thailand-Laos friendship bridge is a very important level. On all sides. Sort by descending order As follows: International bus service presentation, physical characteristics. Average 4.26 4.25 average products and services side personnel Average 4.13 side channel 3.92 average price 3.84 average and a marketing campaign. Section 2.88 average van are important to many levels. All sides sorted by descending order Follows the physical presentation of products and services side average 4.52 4.45 average personnel. Average 4.23 side channel average price 4.15 4.06 and the average marketing campaign. Average 3.17 when the user personal features are classified by the bus service between the countries, male-female, age, profession, there is no overall difference statistically significant at the 0.05 level, but on the revenue side. What are the differences between the statistical significance level 0.05 on the part of van users, male-female, age, profession, there is no overall difference statistically significant at the 0.05 level, but on the revenue side. What are the differences between the statistical significance level 0.05?
การแปล กรุณารอสักครู่..