Passengers’ perceived experience and satisfaction with long-distance coach liners in South Africa
- Authors: Mthi, Yolokazi
- Date: 2022-04
- Subjects: Transportation--South Africa , Buses-South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/55679 , vital:53406
- Description: The transportation industry makes a significant contribution to the economy of the country’s Gross Domestic Product (GDP), national investment and employment, and plays an essential role in people’s daily lives. Within the transportation industry, this study specifically focused on long-distance coach liners. Long-distance coach liners add significant value to South Africa’s economy. However, no research focusing specifically on passengers’ perceived experience and satisfaction with long-distance coach liners in South Africa exists. Thus, the study aims to fill this void by investigating passengers’ perceived experience and satisfaction with long-distance coach liners in South Africa. The five dimensions of an experience, namely aesthetics, entertainment, peace of mind, economic value and efficiency were identified as potential dimensions of measuring passengers’ experience within a long-distance coach liner context to achieve the aim of the study. The study employed convenience and snowballing sampling to identify potential respondents. Primary data was collected utilising an online survey, SurveyMonkey, and 399 useable responses were received. To strengthen the validity of this study, inferential statistics were used to examine exploratory factor analysis to find latent factors. An exploratory factor analysis (EFA) was executed on the 44 items intended to measure the independent and dependent variables. The EFA was executed on the correlation matrix between the items. Five factors were extracted for the independent factors and one factor extracted as a dependent factor. A reliability coefficient (Cronbach’s alpha) was calculated for each factor to estimate the internal consistency of each of the items. The identified factors, with their respective items, were found to be reliable. A one-way analysis of variance (ANOVA) was used to determine whether there were any statistically significant differences between the mean score of selected profile variables (age, occupation, travel purpose and frequency with which respondents had travelled by long-distance coach liner) and the study's identified factors. Multiple regression analysis was used to determine the influence or predictive effect that one or more (independent) variables has concerning the other (dependent) variable. In the current study, multiple regression analysis was utilised to examine the influence of the independent factors on the dependent variable. , Thesis (MCom) -- Faculty of Business and Economic Sciences, Marketing Management, 2022
- Full Text:
- Date Issued: 2022-04
- Authors: Mthi, Yolokazi
- Date: 2022-04
- Subjects: Transportation--South Africa , Buses-South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/55679 , vital:53406
- Description: The transportation industry makes a significant contribution to the economy of the country’s Gross Domestic Product (GDP), national investment and employment, and plays an essential role in people’s daily lives. Within the transportation industry, this study specifically focused on long-distance coach liners. Long-distance coach liners add significant value to South Africa’s economy. However, no research focusing specifically on passengers’ perceived experience and satisfaction with long-distance coach liners in South Africa exists. Thus, the study aims to fill this void by investigating passengers’ perceived experience and satisfaction with long-distance coach liners in South Africa. The five dimensions of an experience, namely aesthetics, entertainment, peace of mind, economic value and efficiency were identified as potential dimensions of measuring passengers’ experience within a long-distance coach liner context to achieve the aim of the study. The study employed convenience and snowballing sampling to identify potential respondents. Primary data was collected utilising an online survey, SurveyMonkey, and 399 useable responses were received. To strengthen the validity of this study, inferential statistics were used to examine exploratory factor analysis to find latent factors. An exploratory factor analysis (EFA) was executed on the 44 items intended to measure the independent and dependent variables. The EFA was executed on the correlation matrix between the items. Five factors were extracted for the independent factors and one factor extracted as a dependent factor. A reliability coefficient (Cronbach’s alpha) was calculated for each factor to estimate the internal consistency of each of the items. The identified factors, with their respective items, were found to be reliable. A one-way analysis of variance (ANOVA) was used to determine whether there were any statistically significant differences between the mean score of selected profile variables (age, occupation, travel purpose and frequency with which respondents had travelled by long-distance coach liner) and the study's identified factors. Multiple regression analysis was used to determine the influence or predictive effect that one or more (independent) variables has concerning the other (dependent) variable. In the current study, multiple regression analysis was utilised to examine the influence of the independent factors on the dependent variable. , Thesis (MCom) -- Faculty of Business and Economic Sciences, Marketing Management, 2022
- Full Text:
- Date Issued: 2022-04
The determinants of demand for public transport in South Africa
- Seleseng, Tshegofatso Priscilla
- Authors: Seleseng, Tshegofatso Priscilla
- Date: 2011-10
- Subjects: Transportation--South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10353/24565 , vital:63176
- Description: This study analyses the determinants of demand for public transport in South Africa, using quarterly data covering the period from 1990-2009. The study initially provides an overview of the South African public transport system and population trends. Based on the review of the theoretical and empirical literature on transport, the study specifies a model of public transport demand in South Africa. Tests for stationarity and unit roots in the series (both informal and formal tests), and co-integration test have been performed. The co-integration test is done using the Johansen (1990, 1995) methodology. A vector error correction model is run to provide robust determinant variables on public transport. The results revealed that in the short run, the demand for public transport depends positively and significantly on GDP per capita growth and negatively on prices for public transport and fuel prices. However, over the long run, the demand for public transport depends negatively on GDP per capita growth as expected, but positively on the other variables including the growth in employment levels. To check for robustness of the VECM results the diagnostic tests were performed. The AR Roots Graph reports the inverse roots of the characteristics AR polynomial. The graph showed that all roots lie inside the unit circle which is an indication that VAR is stable. Some of the results found in this the study, such as the short run and long run impact of income growth on public demand, are supported by findings from other studies. , Thesis (MCom) -- Faculty of Management and Commerce, 2011
- Full Text:
- Date Issued: 2011-10
- Authors: Seleseng, Tshegofatso Priscilla
- Date: 2011-10
- Subjects: Transportation--South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10353/24565 , vital:63176
- Description: This study analyses the determinants of demand for public transport in South Africa, using quarterly data covering the period from 1990-2009. The study initially provides an overview of the South African public transport system and population trends. Based on the review of the theoretical and empirical literature on transport, the study specifies a model of public transport demand in South Africa. Tests for stationarity and unit roots in the series (both informal and formal tests), and co-integration test have been performed. The co-integration test is done using the Johansen (1990, 1995) methodology. A vector error correction model is run to provide robust determinant variables on public transport. The results revealed that in the short run, the demand for public transport depends positively and significantly on GDP per capita growth and negatively on prices for public transport and fuel prices. However, over the long run, the demand for public transport depends negatively on GDP per capita growth as expected, but positively on the other variables including the growth in employment levels. To check for robustness of the VECM results the diagnostic tests were performed. The AR Roots Graph reports the inverse roots of the characteristics AR polynomial. The graph showed that all roots lie inside the unit circle which is an indication that VAR is stable. Some of the results found in this the study, such as the short run and long run impact of income growth on public demand, are supported by findings from other studies. , Thesis (MCom) -- Faculty of Management and Commerce, 2011
- Full Text:
- Date Issued: 2011-10
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