Determinants of Public Transport in Sydney

Determinants of public transport in Sydney
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23rd October 2018

Executive summary
Several factors were found to influence the travelers choice on using public transport. A sample
size used for the study was 100 participants living in Sydney. Among the factors were the cost,
efficiency, comfortability and time saving. The study established that these factors had different
weights in influencing the use of transport to work. Cost was found to have a higher weight
towards the use of public transport followed by efficiency, time saving and comfortability in that
order. Results also showed that there is no significant difference in the proportion of male
participants who choose public transportation to go to work and the female participants who
choose public transportation to go to work.

Table of Contents
Executive summary..................................................................................................................................2
Introduction...............................................................................................................................................4
Research Design........................................................................................................................................5
Hypothesis Development.........................................................................................................................5
Results and Discussion.............................................................................................................................6
Descriptive Statistics....................................................................................................................6
Frequencies..................................................................................................................................7
Why choose public transport?......................................................................................................9
Normality Tests..........................................................................................................................10
Inferential Statistics....................................................................................................................11
Inputs..........................................................................................................................................13
Results........................................................................................................................................14
CI plot.....................................................................................................................................14
Conclusion and Implication...................................................................................................................15
Appendix..................................................................................................................................................16

Introduction
Transport is a standout amongst the most essential angles in the everyday existence of the
general population, as their activities can't be fulfilled without moving. The general population's
development firmly related with their social statistic trademark, for example, sexual orientation,
marital status, age, level of education, occupation, and also the family member's activities. The
activities depend on various purposes, which are educational activities, working activities,
recreational activities, shopping, etc. There are various modes of transport and people can always
pick the desired mode to use. The different modes of transport are presently coming various
perspectives from the customary models.
Presently people have a tendency to pick the mode that is secure, comforting, trip distance,
reliability of the mode as well as the cost involved. Understanding travel behavior is very
essential in informing stakeholders. Behavior survey is often adopted as a method to understand
individual travel behavior. This study therefore sought to understand the transport behavior of
employees going to work.