1. Assessing the Impact of Transit and Personal Characteristics on Mode Choice of TOD Users Ms Deepti Muley, Dr Jonathan Bunker and Prof Luis Ferreira Queensland University of Technology, Brisbane

3.  Introduction  Need for this study  Case study TOD  Overview of data collection  Mode shares of TOD users  Mode share comparisons  Travel demand of TOD users  Conclusions In this presentation…

4. Need for this study Comparison required to understand transport benefits of TODs Mode shares of TOD users need to be understood Accurate travel demand models for TODs are needed Past Studies  Concentrate principally on residents’ data  No significant previous Australian case studies

6. KGUV @ 2008  3km (1.8mi) from Brisbane’s Central Business District  Development underway  Size: 16.57 Ha (approx. 41 acre)  Mixed land uses  Education oriented development  Next to existing QUT Kelvin Grove campus (12,000 students)  Close to many recreational facilities Kelvin Grove Urban Village (KGUV)

7. Details of transit service Overall good quality of PT service 0.5km 400m 800m

8. TOD user groups for KGUV ResidentsNon-student residents, Student residents StudentsY8-12 High School students, University students EmployeesRetail employees, Professional employees Shoppers

9. Overview of data collection TOD user groupSurvey instrument Sample size Response rate ResidentsMail back & intercept7610% Professional employeesInternet based12510% Retail shop employeesPersonal interviews3931% University studentsInternet based8915% High school studentsMail back2820% ShoppersPersonal interviews11768%

10. 46% Mode share for employees at KGUV

11. 85% Mode share for students at KGUV

12. Mode share for shoppers at KGUV 71%

13. Mode share for residents at KGUV 78%

14. Mode share comparison for work trips Mode of transport Greater Brisbane 1 Brisbane inner northern suburbs KGUV Car81.4%57.6%53% Public transport10.2%25.6%26% Walk only6.2%14.5%13% Bicycle 1.2%1.5%7% Taxi0.3%0.6%0% Other 0.6%0.2%1% 1.Population approx 1.8M, average annual household income approx USD$44,000

15. Mode share comparison for education trips Mode of transport Greater Brisbane 1 Brisbane inner northern suburbs KGUV Car58.4%40.0%15% Public transport24.9%49.5%78% Walk only13.8%9.5%7% Bicycle 2.9%0.0%0% Taxi0.1%0.0%0% Other 0%1.1%0% 1.Population approx 1.8M, average annual household income approx USD$44,000

16. Mode share comparison for shopping trips Mode of transport Greater Brisbane 1 Brisbane inner northern suburbs KGUV Car84.2%54.7%27% Public transport4.7%12.5%23% Walk only9.4%29.7%44% Bicycle 0.6%0.0%4% Taxi0.2%0.4%0% Other 0.9%2.6%2% 1.Population approx 1.8M, average annual household income approx USD$44,000

17. Mode share comparison for residents (Considering first trip of the day) Mode of transport Greater Brisbane 1 Brisbane inner northern suburbs KGUV Car81.6%87%22% Public transport7.8%4.7%43% Walk only8.5%6.2%35% Bicycle1.1%1.6%0% Taxi0.3%0.2%0% Other0.7%0.4%0% 1.Population approx 1.8M, average annual household income approx USD$44,000

18. Travel demand analysis Mode choice Personal characteristics Transit characteristics Logistic regression analysis

19. Coefficients of Logistic regression analysis VariableEmployeesStudentsShoppersResidents LOS0.049-0.0110.1550.295 Trip length-0.016-0.0290.042-0.494 Travel time difference0.0150.0230.0690.052 FrequencyNA 0.353NA Age group-0.837-0.200-1.122-1.298 Employment status-0.4631.516 a -0.104-0.967 Gender0.4770.579NA-1.860 Licence availabilityNA-1.964NA Constant1.7342.4401.1685.170 No of cases164117 72 Nagelkerke’s R 2 0.2020.2110.3540.535 % correctly predicted66%86.4%79.8%86.1%

20. Sensitivity of an employee’s sustainable mode choice, p(1), with age group

21. Sensitivity of a student’s sustainable mode choice, p(1), with age group

22. Sensitivity of a shopper’s sustainable mode choice, p(1), with age group

23. Sensitivity of a resident’s sustainable mode choice, p(1), with age group

24. Conclusions KGUV highly attractive to young adults More walk, cycle and public transport trips compared to Greater Brisbane and Inner Northern Brisbane users Mode shares principally dependant on age group, LOS and employment status

25. Scope of future research & future applications  Detailed comparison with other suburbs  Travel demand modelling for TODs  Planning future TODs

26. Contact author: Deepti Muley d.muley@student.qut.edu.au