Analysis of Journey to Work Travel Behavior by Car and Bus in the Sydney Metropolitan Region

Authors

  • Suthanaya P.A. Department of Civil Engineering, Faculty of Engineering, Udayana University, Bukit Jimbaran, Bali

:

https://doi.org/10.9744/ced.13.1.21-28

Keywords:

Travel behavior, car, bus, spatial association.

Abstract

Car dependence is a fundamental problem in the sustainability of cities with low-density suburban sprawl. Increasing the use of public transport is one of the policy objectives commonly adopted to overcome this problem. It is essential to study journey to work travel behavior by car and bus. This paper applied preference function to analyze travel behavior and Moran’s I spatial statistic to evaluate the spatial association. The results indicated that the commuting preferences of residents have moved towards distance maximization. In general, bus was preferred for shorter distance trips whilst car was preferred for longer distance trips. Unlike car, by increasing distances from the Central Business District, residents tended to use bus for shorter distance trip. A significant positive spatial association was identified for both the slope preferences by car and bus where zones with a preference towards longer or shorter trips tended to travel to zones with similar preferences.

References

WHO, Health Effects of Transport-Related Air Pollution, World Health Organization, Copenhagen, 2005.

Newman, P. and Kenworthy, J., Sustainability and Cities: Overcoming Automobile Dependence, Island Press, Washington, D.C., 1999.

Yang, J., Commuting Impacts of Spatial Decentralization: A Comparison of Atlanta and Boston, Journal of Regional Analysis and Policy, 35(1), 2005, pp. 70-78.

Schwanen, T. and Mokhtarian, P.L., What Affects Commute Mode Choice: Neighborhood Physical Structure or Preferences Toward Neighborhoods? Journal of Transport Geography, 13, 2005, pp. 83-99.[CrossRef]

Hamilton, B.A., Study of Successful Congestion Management Approaches and the Role of Charging, Taxes, Levies and Infrastructure and Service Pricing in Travel Demand Management, Council of Australian Governments, 2006.

Holmgren, J., Jansson, J.O., and Ljungberg, A., Public Transport in Towns–Inevitably on the Decline? Research in Transportation Economics, 23, 2008, pp. 65–74.[CrossRef]

Joewono, T.B. and Kubota, H., Exploring Public Perception of Paratransit Service using Binomial Logistic Regression, Civil Engineering Dimension, 9(1), 2007, pp. 1-8.

Mulley, C., and Nelson, D., Flexible Transport Services: A New Market Opportunity for Public Transport, Research in Transportation Economics, 25, 2009, pp. 39-45.[CrossRef]

Pooley, C.G., and Turnbull, J., Modal Choice and Modal Change: The Journey to Work in Britain since 1890, Journal of Transport Geography, 8, 2000, pp. 11-24.[CrossRef]

Montis, A.D., Chessa, A., Campagna, M., Caschili, S., and Deplano, G., Modeling Commuting Systems through a Complex Network Analysis: A Study of the Italian Islands of Sardinia and Sicily, Journal of Transport and Land Use, 3(4), 2010, pp. 39-55.

Patuelli, R., Reggiani, A., Gorman, S., Nijkamp, P., and Bade, F., Network Analysis of Commuting Flows: A Comparative Static Approach to German Data, Networks and Spatial Economics, 7(4), 2007, pp. 315–331.[CrossRef]

Black, J., Paez, A. and Suthanaya, P., Sustainable Urban Transportation: Performance Indicators and Some Analytical Approaches, American Society of Civil Engineers. Journal of Urban Planning and Development, Special Issue: Advances in Urban Planning Methodologies I: Recent Advances, 128(4), 2002, pp. 184-209.

Ruiter, E.R., Improvement in Understanding, Calibrating and Applying the Opportunity Model, Highway Research Record, 165, 1969, pp. 1-21.

Stouffer, S.A., Intervening Opportunities: A Theory Relating Mobility and Distance. American Sociological Review, 5, 1940, pp. 347-356.[CrossRef]

Moran, P., The Interpretation of Statistical Maps, Journal of the Royal Statistical Society B, 10, 1948, pp. 243-251.

Cliff, A.D. and Ord, J.K., The Problem of Spatial Autocorrelation, Scott, A.J. (ed.), Studies in Regional Science, Pion, London, 1969.

Anselin, L., Local Indicators of Spatial Association–LISA, Geographical Analysis, 27, 1995, pp. 93-115.[CrossRef]

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Published

2011-03-03

How to Cite

P.A., S. (2011). Analysis of Journey to Work Travel Behavior by Car and Bus in the Sydney Metropolitan Region. Civil Engineering Dimension, 13(1), 21-28. https://doi.org/10.9744/ced.13.1.21-28

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