Logistic Regression Analysis: Traffic-Free Zones Along The Harbourfront
5.3. Traffic-free Zones along the Harbourfront
Enhancing the vibrancy of the harbourfront which provide an accessible, comfortable environment with miscellaneous activities for public enjoyment is the objective of the harbourfront development while the third research question is to figure out whether promotion of traffic-free zone can help to achieve the objective of providing a vibrant harbourfront. This section is to discuss the acceptability to restrict vehicular traffic movements and the underlying factors and comments affecting the perceptions of pedestrians.
5.3.1. Overall Acceptance
To understand the perceptions on the pedestrians to the proposed traffic-free zone at Tai Hong Street, respondents are requested to rate their acceptance …show more content…
value of 1 for agreeing the traffic-free zones and 0 for disagreeing). For respondents rating agree or strongly agree, the value of 1 is assigned while value of 0 is assigned to respondents not agreeing the traffic-free proposal. The logistic regression analysis in this dissertation was used to predict the outcome of the acceptance of traffic-free zone (value of 1) based on various attributes. To analyse the variable which is categorical such as trip purpose, one category within each independent variable was assigned as reference category so regression coefficient could be given for each other category in the independent …show more content…
For instance, the respondent in a non-car available household would increase the odds of accepting traffic-free environment by a factor of e1.197 = 3.311. The odds of non-car available household to accept traffic-free zones would be increased by 3.3 times. Therefore, non-car available households are more likely to accept the traffic-free proposals. The attitudes to give priority to pedestrian over vehicular traffic would also have significant relationship with the acceptance of traffic-free environment. Respondents who selected strongly agree to give priority to pedestrians on the use of road space versus strongly disagree increase the log odds of agreeing the traffic-free zones by 1.088. Considering the trip purpose of making recreational trip to harbourfront as a baseline, the coefficient for making recreational trip to open space / park is 0.773. This figure means that comparing to the recreational trip to harbourfront, the odds of people making recreational trip to open space to accept the traffic-free proposal is increased by 2.165 times and the odds for working trip would be increased by 3.415 times. The findings of logistic
Enhancing the vibrancy of the harbourfront which provide an accessible, comfortable environment with miscellaneous activities for public enjoyment is the objective of the harbourfront development while the third research question is to figure out whether promotion of traffic-free zone can help to achieve the objective of providing a vibrant harbourfront. This section is to discuss the acceptability to restrict vehicular traffic movements and the underlying factors and comments affecting the perceptions of pedestrians.
5.3.1. Overall Acceptance
To understand the perceptions on the pedestrians to the proposed traffic-free zone at Tai Hong Street, respondents are requested to rate their acceptance …show more content…
value of 1 for agreeing the traffic-free zones and 0 for disagreeing). For respondents rating agree or strongly agree, the value of 1 is assigned while value of 0 is assigned to respondents not agreeing the traffic-free proposal. The logistic regression analysis in this dissertation was used to predict the outcome of the acceptance of traffic-free zone (value of 1) based on various attributes. To analyse the variable which is categorical such as trip purpose, one category within each independent variable was assigned as reference category so regression coefficient could be given for each other category in the independent …show more content…
For instance, the respondent in a non-car available household would increase the odds of accepting traffic-free environment by a factor of e1.197 = 3.311. The odds of non-car available household to accept traffic-free zones would be increased by 3.3 times. Therefore, non-car available households are more likely to accept the traffic-free proposals. The attitudes to give priority to pedestrian over vehicular traffic would also have significant relationship with the acceptance of traffic-free environment. Respondents who selected strongly agree to give priority to pedestrians on the use of road space versus strongly disagree increase the log odds of agreeing the traffic-free zones by 1.088. Considering the trip purpose of making recreational trip to harbourfront as a baseline, the coefficient for making recreational trip to open space / park is 0.773. This figure means that comparing to the recreational trip to harbourfront, the odds of people making recreational trip to open space to accept the traffic-free proposal is increased by 2.165 times and the odds for working trip would be increased by 3.415 times. The findings of logistic