Skip to main content
Log in

Effects of street pattern, traffic, road infrastructure, socioeconomic and demographic characteristics on public transit ridership

  • Sustainable Urban Transportation System
  • Published:
KSCE Journal of Civil Engineering Aims and scope

Abstract

Travel demand is increasing in many countries and the transportation sector produces about 14% of the global greenhouse gas emission, which has been linked to the current climate change. As the oil and gas capital of Canada, the City of Calgary has a very high carbon footprint per population. Hence, the increase usage of transit and the reduction of auto dependency is an important policy goal for the city, and understanding the determinants of transit ridership is a critical first step to achieving this goal. The objective of the study is to identify the effects of different street patterns, traffic, road infrastructure, socioeconomic and demographic characteristics on public transit ridership in 185 community areas of the city. Our results suggest that several street patterns have a significant effect on public transit usage and thus should be considered in the development of new communities for promoting public transit. Also, increases in commercial areas, expressways or highways and train stations are associated with greater transit use. In addition to these physical attributes, a number of socioeconomic and demographic characteristics related to income, age, living pattern and minority or immigrant populations are important determinants of public transit use.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Alvinsyah, A., Soehodho, S., and Nainggolan, P. (2005). “Public transport user attitude based on choice model parameter characteristics.” Journal of the Eastern Asia Society for Transportation Studies, Vol. 6, pp. 480–491.

    Google Scholar 

  • Bubeck, S. S., Tomaschek, J., and Fahl, U. (2014). “Potential for mitigating greenhouse gases through expanding public transport services: A case study for Gauteng Province, South Africa.” Transportation Research Part D, Vol. 32, pp. 57–69, DOI: 10.1016/j.trd.2014.07.002.

    Article  Google Scholar 

  • Chakour, V. and Eluru, N. (2013). “Examining the influence of urban form and land use on bus ridership in Montreal.” Procedia -Social and Behavioral Sciences, Vol. 104, pp. 875–884, DOI: 10.1016/j.sbspro.2013.11.182.

    Article  Google Scholar 

  • Diaz, C. (2011). “Mode choice of inter-island travellers: Analyzing the willingness of ferry passengers to shift to air transportation.” Journal of the Eastern Asia Society for Transportation Studies, Vol. 9, pp. 2058–2073.

    Google Scholar 

  • He, D., Liu, H., He, K., Meng, F., Jiang, Y., Wang, M., Zhou, J., Calthorpe, P., Guo, J., Yao, Z., and Wang, Q. (2013). “Energy use of, and CO2 emissions from China’s urban passenger transportation sector–Carbon mitigation scenarios upon the transportation mode choices.” Transportation Research Part A, Vol. 53, pp. 53–67, DOI: 10.1016/j.tra.2013.06.004.

    Google Scholar 

  • Farber, S., Bartholomew, K., Li, X., Páez, A., and Habib, K. (2014). “Assessing social equity in distance based transit fares using a model of travel behavior.” Transportation Research Part A, Vol. 67, pp. 291–303, DOI: 10.1016/j.tra.2014.07.013.

    Google Scholar 

  • Fu, X. and Juan, Z. (2015). “Transit commuting market investigation using the latent segmentation approach.” Travel Behaviour and Society, Vol. 2, pp. 102–108, DOI: 10.1016/j.tbs.2014.11.001.

    Article  Google Scholar 

  • Gong, H. and Jin, W. (2014). “Analysis of urban public transit pricing adjustment program evaluation based on trilateral game.” Procedia-Social and Behavioral Sciences, Vol. 138, pp. 332–339, DOI: 10.1016/j.sbspro.2014.07.211.

    Article  Google Scholar 

  • Hensher, D. A. (2008). “Climate change, enhanced greenhouse gas emissions and passenger transport what can we do to make a difference.” Transportation Research Part D, Vol. 13, pp. 95–111, DOI: 10.1016/j.trd.2007.12.003.

    Article  Google Scholar 

  • Hunecke, M., Haustein, S., Bö hler, S., and Grischkat, S. (2010). “Attitudebased target groups to reduce the ecological impact of daily mobility behavior.” Environment and Behavior, Vol. 42, No. 1, pp. 3–43, DOI: 10.1177/0013916508319587.

    Article  Google Scholar 

  • Jia, S., Mao, B., Liu, S., and Sun, Q. (2010). “Calculation and analysis of transportation energy consumption level in China.” Journal of Transportation Systems Engineering and Information Technology, Vol. 10, No. 1, pp. 22–27, DOI: 10.1016/S1570-6672(09)60020-9.

    Article  Google Scholar 

  • Jou, R. and Chen, T. (2014). “Factors affecting public transportation, car, and motorcycle usage.” Transportation Research Part A, Vol. 61, pp. 186–198, DOI: 10.1016/j.tra.2014.02.011.

    Google Scholar 

  • Kennedy, C., Miller, E., Shalaby, A., Maclean, H., and Coleman, J. (2005). “The four pillars of sustainable urban transportation.” Transport Reviews, Vol. 25, No. 4, pp. 393–414, DOI: 10.1080/01441640500115835.

    Article  Google Scholar 

  • Kitamura, R., Mokhtarian, P., and Laidet, L. (1997). “A micro-analysis of land use and travel in five neighborhoods in the San Francisco Bay Area.” Transportation, Vol. 24, pp. 125–158, DOI: 10.1023/A:1017959825565.

    Article  Google Scholar 

  • McKenzie-Mohr, D. (2000). “New ways to promote pro-environmental behavior: Promoting sustainable behavior: An introduction to community-based social marketing.” Journal of Social Issues, Vol. 56, No. 3, pp. 543–554.

    Article  Google Scholar 

  • Morikawa, T., Yamamoto, Y., and Dissanayake, D. (2003). Travel behavior analysis and its implication to urban transport planning for Asian cities: Case Studies of Bangkok, Kuala Lumpur, Manila, and Nagoya. Nagoya University, Japan.

    Google Scholar 

  • Nasrudin, N., Rostam, K., and Noor, H. (2014). “Barriers and Motivations for Sustainable Travel Behaviour: Shah Alam residents’ Perspectives.” Procedia -Social and Behavioral Sciences, Vol. 153, pp. 510–519, DOI: 10.1016/j.sbspro.2014.10.084.

    Article  Google Scholar 

  • Nurdden, A., Rahmat, R., and Ismail, A. (2007). “Effect of transportation policies on modal shift from private car to public transport in Malaysia.” Journal of Applied Sciences, Vol. 7, No. 7, pp. 1013–1018.

    Article  Google Scholar 

  • Perez-Martínez, P. (2012). “Energy consumption and emissions from the road transport in Spain: a conceptual approach.” Transport, Vol. 27, No. 4, pp. 383–396, DOI: 10.3846/16484142.2012.751051.

    Article  Google Scholar 

  • Pronello, C. and Camusso, C. (2011). “Travellers’ profiles definition using statistical multivariate analysis of attitudinal variables.” Journal of Transport Geography, Vol. 19, No. 6, pp. 1294–1308, DOI: 10.1016/j.jtrangeo.2011.06.009.

    Article  Google Scholar 

  • Rifaat, S., Tay, R., and de Barros, A. (2010). “Effect of street pattern on road safety: Are policy recommendations sensitive to different aggregations of crashes by severity?” Transportation Research Record, Vol. 2147, pp. 58–65, DOI: 10.3141/2147-08.

    Article  Google Scholar 

  • Rifaat, S. and Tay, R. (2009). “Effect of street pattern on injury risks in two-vehicle crashes.” Transportation Research Record, Vol. 2102, pp. 61–67, DOI: 10.3141/2102-08.

    Article  Google Scholar 

  • Rifaat, S. M., Tay, R., Perez, A., and De Barros, A. (2009). “Effects of neighborhood street patterns on traffic collision Frequency.” Journal of Transportation Safety and Security, Vol. 1, No. 4, pp. 241–253, DOI: 10.1080/19439960903328595.

    Article  Google Scholar 

  • Taylor, B., Miller, D., Iseki, H., and Fink, C. (2009). “Nature and/or nurture? Analyzing the determinants of transit ridership across USurbanized areas.” Transportation Research Part A, Vol. 43, pp. 60–77, DOI: 10.1016/j.tra.2008.06.007.

    Google Scholar 

  • Transport Canada. (2010). Key Issues in Transportation. Transport Canada, Ottawa, Canada.

    Google Scholar 

  • Yao, X. (2007). “Where are public transit needed–Examining potential demand for public transit for commuting trips.” Computers, Environment and Urban Systems, Vol. 31, pp. 535–550, DOI: 10.1016/j.compenvurbsys.2007.08.005.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Richard Tay.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pasha, M., Rifaat, S.M., Tay, R. et al. Effects of street pattern, traffic, road infrastructure, socioeconomic and demographic characteristics on public transit ridership. KSCE J Civ Eng 20, 1017–1022 (2016). https://doi.org/10.1007/s12205-016-0693-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12205-016-0693-6

Keywords

Navigation