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Year 2022, Volume: 10 Issue: 3, 159 - 169, 09.09.2022
https://doi.org/10.36753/mathenot.988711

Abstract

References

  • [1] Litman, T. (2021). Generated Traffic and Induced Travel Implications for Transport Planning. Victoria Transport Policy Institute.
  • [2] Pells, S. (1989). User response to new road capacity: A review of published evidence. University of Leeds, Institute of Transport Studies, Workin Paper 283.
  • [3] Hansen, M., Gillen, D., Dobbins, A., Huang, Y., & Puvathingal, M. (1993). The air quality impacts of urban highway capacity expansion: Traffic Generation and land use change. Berkley: University of California, Institute of Transportation Studies.
  • [4] Kroes, E., Daily, A., Gunn, H., & Van der Hoorn, T. (1996). The opening of the Amsterdam ring road: A case study of short term impacts on removing bottleneck. Transportation, 23, 71-82.
  • [5] Luk, J., & Chung, E. (1997). Induced demand and road investment: An initial appraisal. ARR 299. Vermont South, Australia: ARRB Transportation Research .
  • [6] Mokhtarian, P., Samaniego, F., Shumway, R., Willits, N., & Azari, R. (2000). Analyzing induced traffic from capacity enhancements used matched pairs: A California Study. Davis: University of California, Institute of Transport Studies .
  • [7] Hansen, M., & Huang, Y. (1997). Road supply and traffic in California urban areas. Transportation Research Part A , 31, 205-218.
  • [8] Noland, R., & Cowart, W. (2000). Analysis of metropolitan highway capacity and the growth in vehicle miles of travel. Transportation, 27(4), 363-390.
  • [9] Fulton, L., Meszler, D., Noland, R., & Thomas, J. (2000). A statistical analysis of induced travel effects in the U.S. mid- Atlantic region. Journal of Transportation and Statistics, 3(1), 1-14.
  • [10] Cervero, R., & Hansen, M. (2002). Induced travel demand an induced road investment: A simultaneous-equation analysis. Journal of Transport Economics and Policy, 36, 469-490.
  • [11] Cervero, R. (2003). Road expansion, urban growth, and induced travel: A path analysis. Journal of the American Planning Association, 69(2), 145-163.
  • [12] Silva, A., & Costa, G. (2007, September). Urban sprawl and energy use for transportation in the largest Brazilian cities. Energy for Sustainable Development , 3(6), 44-50.
  • [13] Ozuysal, M., & Tanyel, S. (2008). Induced travel demand in developing countries : Study on state highways in Turkey. Journal of Urban Planning and Development -ASCE, 134(2), 78-87.
  • [14] Holcombe, R., & Williams, D. (2010). Urban Sprawl and Transportation Externalities. The Review of Regional Studies, 3(40), 257-273.
  • [15] Hymel, K., Small, K., & Dender, K. (2010, February 5). Induced Demand and Rebound Effects in Road Transport .
  • [16] Melo, P., Graham, D., & Canavan, S. (2012). The Effects of Road Investments on Economic Output and Induced Travel Demand: Evidence for Urbanized Areas in the US. Transportation Research Board: Journal of the Transportation Research Board.
  • [17] Vos, J., & Witlox, F. (2013). Transportation policy as spatial planning tool; reducing urban sprawl by increasing travel costs and clustering infrastructure and public transportation. Journal of Transport Geography, 33, 117-125.
  • [18] Barr, L. (2000). Testing for the significance of induced highway travel demand in metropolitan areas. Transportation Research Record: Transportation Planning, Public Participation, and Telecommuting(1706), 1-8.
  • [19] Green, W. (2007). Limdep version 9.0. Econometric modeling guide , v.2. New York: Plainview.
  • [20] Cameron, C., & Trivedi, P. (2005). Microeconometrics:Methods and Applications. New York: Cambridge University Press.
  • [21] Kennedy, P. (1998). A guide to econometrics. Cambridge, Massachusetts: The MIT Press.
  • [22] Green, W. (2003). Econometric Analysis (5th ed.). New Jersey: Pearson.
  • [23] Long, J. (1997). Regression models for categorical and limited dependent variables. London, New Delhi: Thousand Oaks: Syaş Publications.
  • [24] Winkelmann, R. (2008). Econometric analysis of count data (Cilt 5). Verlag, Berlin, Heidelberg: S pringer.

An Application of Path Analysis in Gaugeing Stimulated Travel Demand

Year 2022, Volume: 10 Issue: 3, 159 - 169, 09.09.2022
https://doi.org/10.36753/mathenot.988711

Abstract

This article aims to gauge stimulated travel demand in the case of İstanbul by investigating the inter-relationship between two variables called amount of trips and travel time. Such an empirical investigation is expected to construct a baseline for determining the optimum transportation project with regard to the concern of minimizing the amount of travel time spent by communities. At this juncture, an amount of applied econometric models for measuring stimulated travel demand were exhibited in detail. According to the results of path analysis as an advanced version of simultaneous equations system, approximately 27 % decrease in travel time causes 71 % additional increase in amount of trips in a day. This result once more reveals that unending supply of transportation infrastructure in urban areas causes a kind of vicious circle in the long run, which necessitates further travel demand management strategies in all over the world.

References

  • [1] Litman, T. (2021). Generated Traffic and Induced Travel Implications for Transport Planning. Victoria Transport Policy Institute.
  • [2] Pells, S. (1989). User response to new road capacity: A review of published evidence. University of Leeds, Institute of Transport Studies, Workin Paper 283.
  • [3] Hansen, M., Gillen, D., Dobbins, A., Huang, Y., & Puvathingal, M. (1993). The air quality impacts of urban highway capacity expansion: Traffic Generation and land use change. Berkley: University of California, Institute of Transportation Studies.
  • [4] Kroes, E., Daily, A., Gunn, H., & Van der Hoorn, T. (1996). The opening of the Amsterdam ring road: A case study of short term impacts on removing bottleneck. Transportation, 23, 71-82.
  • [5] Luk, J., & Chung, E. (1997). Induced demand and road investment: An initial appraisal. ARR 299. Vermont South, Australia: ARRB Transportation Research .
  • [6] Mokhtarian, P., Samaniego, F., Shumway, R., Willits, N., & Azari, R. (2000). Analyzing induced traffic from capacity enhancements used matched pairs: A California Study. Davis: University of California, Institute of Transport Studies .
  • [7] Hansen, M., & Huang, Y. (1997). Road supply and traffic in California urban areas. Transportation Research Part A , 31, 205-218.
  • [8] Noland, R., & Cowart, W. (2000). Analysis of metropolitan highway capacity and the growth in vehicle miles of travel. Transportation, 27(4), 363-390.
  • [9] Fulton, L., Meszler, D., Noland, R., & Thomas, J. (2000). A statistical analysis of induced travel effects in the U.S. mid- Atlantic region. Journal of Transportation and Statistics, 3(1), 1-14.
  • [10] Cervero, R., & Hansen, M. (2002). Induced travel demand an induced road investment: A simultaneous-equation analysis. Journal of Transport Economics and Policy, 36, 469-490.
  • [11] Cervero, R. (2003). Road expansion, urban growth, and induced travel: A path analysis. Journal of the American Planning Association, 69(2), 145-163.
  • [12] Silva, A., & Costa, G. (2007, September). Urban sprawl and energy use for transportation in the largest Brazilian cities. Energy for Sustainable Development , 3(6), 44-50.
  • [13] Ozuysal, M., & Tanyel, S. (2008). Induced travel demand in developing countries : Study on state highways in Turkey. Journal of Urban Planning and Development -ASCE, 134(2), 78-87.
  • [14] Holcombe, R., & Williams, D. (2010). Urban Sprawl and Transportation Externalities. The Review of Regional Studies, 3(40), 257-273.
  • [15] Hymel, K., Small, K., & Dender, K. (2010, February 5). Induced Demand and Rebound Effects in Road Transport .
  • [16] Melo, P., Graham, D., & Canavan, S. (2012). The Effects of Road Investments on Economic Output and Induced Travel Demand: Evidence for Urbanized Areas in the US. Transportation Research Board: Journal of the Transportation Research Board.
  • [17] Vos, J., & Witlox, F. (2013). Transportation policy as spatial planning tool; reducing urban sprawl by increasing travel costs and clustering infrastructure and public transportation. Journal of Transport Geography, 33, 117-125.
  • [18] Barr, L. (2000). Testing for the significance of induced highway travel demand in metropolitan areas. Transportation Research Record: Transportation Planning, Public Participation, and Telecommuting(1706), 1-8.
  • [19] Green, W. (2007). Limdep version 9.0. Econometric modeling guide , v.2. New York: Plainview.
  • [20] Cameron, C., & Trivedi, P. (2005). Microeconometrics:Methods and Applications. New York: Cambridge University Press.
  • [21] Kennedy, P. (1998). A guide to econometrics. Cambridge, Massachusetts: The MIT Press.
  • [22] Green, W. (2003). Econometric Analysis (5th ed.). New Jersey: Pearson.
  • [23] Long, J. (1997). Regression models for categorical and limited dependent variables. London, New Delhi: Thousand Oaks: Syaş Publications.
  • [24] Winkelmann, R. (2008). Econometric analysis of count data (Cilt 5). Verlag, Berlin, Heidelberg: S pringer.
There are 24 citations in total.

Details

Primary Language English
Subjects Mathematical Sciences
Journal Section Articles
Authors

Enver İnce 0000-0002-8264-6707

İbrahim Demir 0000-0002-2734-4116

Murat Çelik 0000-0001-9647-868X

Publication Date September 9, 2022
Submission Date August 30, 2021
Acceptance Date March 3, 2022
Published in Issue Year 2022 Volume: 10 Issue: 3

Cite

APA İnce, E., Demir, İ., & Çelik, M. (2022). An Application of Path Analysis in Gaugeing Stimulated Travel Demand. Mathematical Sciences and Applications E-Notes, 10(3), 159-169. https://doi.org/10.36753/mathenot.988711
AMA İnce E, Demir İ, Çelik M. An Application of Path Analysis in Gaugeing Stimulated Travel Demand. Math. Sci. Appl. E-Notes. September 2022;10(3):159-169. doi:10.36753/mathenot.988711
Chicago İnce, Enver, İbrahim Demir, and Murat Çelik. “An Application of Path Analysis in Gaugeing Stimulated Travel Demand”. Mathematical Sciences and Applications E-Notes 10, no. 3 (September 2022): 159-69. https://doi.org/10.36753/mathenot.988711.
EndNote İnce E, Demir İ, Çelik M (September 1, 2022) An Application of Path Analysis in Gaugeing Stimulated Travel Demand. Mathematical Sciences and Applications E-Notes 10 3 159–169.
IEEE E. İnce, İ. Demir, and M. Çelik, “An Application of Path Analysis in Gaugeing Stimulated Travel Demand”, Math. Sci. Appl. E-Notes, vol. 10, no. 3, pp. 159–169, 2022, doi: 10.36753/mathenot.988711.
ISNAD İnce, Enver et al. “An Application of Path Analysis in Gaugeing Stimulated Travel Demand”. Mathematical Sciences and Applications E-Notes 10/3 (September 2022), 159-169. https://doi.org/10.36753/mathenot.988711.
JAMA İnce E, Demir İ, Çelik M. An Application of Path Analysis in Gaugeing Stimulated Travel Demand. Math. Sci. Appl. E-Notes. 2022;10:159–169.
MLA İnce, Enver et al. “An Application of Path Analysis in Gaugeing Stimulated Travel Demand”. Mathematical Sciences and Applications E-Notes, vol. 10, no. 3, 2022, pp. 159-6, doi:10.36753/mathenot.988711.
Vancouver İnce E, Demir İ, Çelik M. An Application of Path Analysis in Gaugeing Stimulated Travel Demand. Math. Sci. Appl. E-Notes. 2022;10(3):159-6.

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