It can be seen from the findings that placing an emphasis on safety produces the worst results. The results illustrate the effect that factors (other than those of the built environment) can have on the ridership a transit system in a particular urban environment may generate.

 

The outcomes of the TOD assessment are not used to choose the "most accurate" TOD map. Given the ability to emphasise different factors, the outcomes can be used to identify the most critical factors for different areas, and so prioritisation of interventions can be done. For example, car ownership is critical in Melkbosstrand, and safety is critical in the rest of the study area.

 

This is important because if critical issues in certain regions are identified, it means that interventions can be planned. The planned interventions can be inserted into the model, and the TOD levels reassessed. In this way, the effectiveness of interventions can be predicted. An iterative procedure of testing and adjusting interventions is therefore followed.

 

This type of application of the tool assesses the TOD levels for a system that has been planned or implemented.

 

The alternative would be to exclude indicators that use station location information. The transit network can then be planned such that stations are located in clusters of high TOD values.

 

 

 

Key references:

 

1. Belzer, D. & Autler, G. 2002. Transit Oriented Development: Moving from Rhetoric to Reality. Prepared for: The Brookings Institution & The Great American Station Foundation. Available: http://www.china-up.com:8080/international/case/case/810.pdf 

 

2. Castallanos Abella, E. A. & Van Westen, C. J. 2007. Generation of a landslide risk index map for Cuba using spatial multi-criteria evaluation. Landslides. 4(4): 311-325. DOI: 10.1007/s10346-007-0087-y

 

3. Cervero, R. & Kockelman, K. 1997. Travel demand and the 3Ds: Density, diversity, and design. . 2(3): 199-219. DOI: http://dx.doi.org/10.1016/S1361-9209(97)00009-6

 

4. Cervero, R. & Ewing, R. 2010. Travel and the Built Environment: A Meta-Analysis. Journal of the American Planning Association. 76(3): 265-294. DOI: 10.1080/01944361003766766.

 

5. Malczewski, J. 1999. . Canada: John Wiley & Sons, Inc.

 

6. Munshi, T. G. 2013. . Ph.D. Thesis. University of Twente. Available: http://www.itc.nl/library/papers_2013/phd/munshi.pdf 

 

7. MyCiTi website. 2013. Available: http://www.myciti.org.za/en/about/about-us/