- To develop a new approach for measuring congestion relief impacts of public transport
- To explore the congestion relief impacts of public transport in world cities
- To examine the relationship between public transport congestion relief and various urban and transport characteristics of cities.
- Use of existing dataset covering 60 world cities to estimate key travel characteristics with and without public transport
- Regression analysis of elements of urban and transport characteristics that influence public transport congestion relief.
Hong Kong, Moscow and Cracow have the highest levels of public transport congestion relief.
Table 1 Ranking of cities in terms of congestion relief impacts of public transport
|1. Hong Kong|
|43. New York|
|54. San Francisco|
|55. Los Angeles|
|58. San Diego|
Source: Aftabuzzaman et al. (2010)
- Hong Kong, Moscow and Cracow have the highest levels of public transport congestion relief, while San Diego, Phoenix and Houston have the lowest levels of congestion relief
- Three key dimensions were found to positively influence public transport congestion relief: (1) transit-orientation factors, (2) car-deterrence factors, and (3) urban form factors
- The new approach provides insight to the congestion relief impacts of public transport systems without the need for comprehensive modelling.
Aftabuzzaman, M., Currie, G. & Sarvi, M. (2010) Exploring the underlying dimensions of elements affecting traffic congestion relief impact of transit. Cities, Vol. 28, pp. 36-44.
Aftabuzzaman, M., Currie, G. & Sarvi, M. (2010) Evaluating the congestion relief impacts of public transport in monetary terms, Europe and the US. Journal of Public Transportation, Vol. 13, No. 1, pp. 1-24.
Nguyen-Phuoc, D.Q., Currie, G. & Young, W. (2015) Public Transport Congestion Relief Measurement – A New Framework and Its Impacts. Presented at the 37th Australasian Transport Research Forum (ATRF), Sydney, Australia.