Relevant statistical analysis such as tabulation, percentage analysis and descriptive statistics were used to arrive at the results. Additionally, the responses from the interviews were analyzed by using manual qualitative method of analysis to draw inferences. Table 1 Respondents profile Types of Kolkata Cape Town Total Respondents Number % Number % Number % App enabled 12 17.9 7 13.7 19 16.1 Taxi drivers Traditional taxi 8 11.9 5 9.8 13 11.0 drivers Tourists taxi (14) (29.8) (23) (58.9) (37) 31.4 (43.0) users Local people (33) (70.2) (16) (42.1) (49) 41.6 (57.0) taxi users Total Taxi 47 70.2 39 76.5 86 72.9 users Total 67 100.0 51 100.0 118 100.0 Note: Total taxi users = tourist taxi users+ local people taxi users The numbers within parentheses indicate the share of total taxi users 5. RESULTS AND DISCUSSIONS The perceptions of the respondents on the acceptance, cost of travel, availability, ICT challenges, and demands of travelers and Smart Mobile Travel App enabled taxi drivers are presented in Table 2a, Table 2b, and Table 2c respectively. While analyzing the data, the inconsistent and vague responses were eliminated through scrutiny of the data set and only credible and complete responses were used for analysis. 5.1 Acceptance of Smart Mobile Travel App enabled taxis and cost of travel Table 2a presents the acceptance level, cost of travel and availability of the Mobile ‘Smart Travel enabled taxis. It is found that the Mobile Travel enabled taxis are App’ ‘Smart App’ accepted (received or welcomed) to about 71.6% respondents in Kolkata and 76.5% respondents in Cape Town. Overall there is a high acceptance rate (73.7%) of these taxi services in both the cities. More than 60% of respondents perceive that Smart Mobile Travel enabled taxis are cheaper in general although about 40% disagreed. According to 55.2% App’ in Kolkata and 54.9% in Cape Town, these taxis are expensive during peak hours. Consequently, it is found that overall majority (more than 55%) of respondents perceive that Smart Mobile Travel App enabled taxis are expensive during peak hours.
Relevant statistical analysis such as tabulation, percentage analysis and descriptive statistics were used to arrive at the results. Additionally, the responses from the interviews were analyzed by using manual qualitative method of analysis to draw inferences. Table 1 Respondents profile Types of Respondents Kolkata Cape Town Total Number % Number % Number % App enabled Taxi drivers 12 17.9 7 13.7 19 16.1 Traditional taxi drivers 8 11.9 5 9.8 13 11.0 Tourists taxi users (14) (29.8) (23) (58.9) (37) 31.4 (43.0) Local people taxi users (33) (70.2) (16) (42.1) (49) 41.6 (57.0) Total Taxi users 47 70.2 39 76.5 86 72.9 Total 67 100.0 51 100.0 118 100.0 Note: Total taxi users = tourist taxi users+ local people taxi users The numbers within parentheses indicate the share of total taxi users 5. RESULTS AND DISCUSSIONS The perceptions of the respondents on the acceptance, cost of travel, availability, ICT challenges, and demands of travelers and Smart Mobile Travel App enabled taxi drivers are presented in Table 2a, Table 2b, and Table 2c respectively. While analyzing the data, the inconsistent and vague responses were eliminated through scrutiny of the data set and only credible and complete responses were used for analysis. 5.1 Acceptance of Smart Mobile Travel App enabled taxis and cost of travel Table 2a presents the acceptance level, cost of travel and availability of the ‘Smart Mobile Travel App’ enabled taxis. It is found that the ‘Smart Mobile Travel App’ enabled taxis are accepted (received or welcomed) to about 71.6% respondents in Kolkata and 76.5% respondents in Cape Town. Overall there is a high acceptance rate (73.7%) of these taxi services in both the cities. More than 60% of respondents perceive that Smart Mobile Travel App’ enabled taxis are cheaper in general although about 40% disagreed. According to 55.2% in Kolkata and 54.9% in Cape Town, these taxis are expensive during peak hours. Consequently, it is found that overall majority (more than 55%) of respondents perceive that Smart Mobile Travel App enabled taxis are expensive during peak hours.
4a_ngobeni_influence-of-smart-mobile-travel-apps.docx