Statistical Investigations of Statutory Holiday Effects on Traffic Volumes

Abstract

Traffic volume fluctuates from time to time and from location to location, with significant variations in demand as a result. The increases in travel during statutory holiday periods are substantial, and some critical traffic problems have been reported. An understanding of this substantial variation in the volume of traffic can assist transportation agencies in developing practical countermeasures in aspects such as traffic control plans, signal timing, safety programs, traffic volume monitoring, and prediction. The literature on holiday traffic is limited, and no effort has been made to examine statistically the significance of changes in traffic volume due to holiday effects. With the past 20 years of data collected by permanent traffic counters on highways in Alberta, Canada, holiday effects on road traffic are shown graphically. Then, the nonparametric Wilcoxon matched pair test is used to test the variation characteristics of normal flow, the Friedman method is applied to investigate the holiday effects on weekly and daily traffic, and the hourly volume pattern changes are examined by a combination of χ² and binomial tests. The test results reveal that holidays substantially contribute to the variability of traffic. The weekly volume variations during holiday periods are significant in many cases, holiday effects on daily and hourly traffic are evident, and the directional holiday traffic peaking features are strong. Meanwhile, general identifications of the affected holidays for different types of roads are provided. Potential implications of these findings are discussed.

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References

Highway Capacity Manual. TRB, National Research Council, Washington, D.C., 2000.

America on the Go. U.S. Holiday Travel. Bureau of Transportation Statistics, U.S. Department of Transportation, Nov. 2003.

Liu

Sharma

and Wyatt

Traffic Flow Peaking Characteristics During Holiday Periods. In Canadian Institute of Transportation Engineers 2005 Annual Conference (CD-ROM), Saskatoon, Canada, June 2005.

Wright

P. S.

Young

and Lu

Variability in Traffic Monitoring Data—Final Summary Report. U.S. Department of Energy, Washington, D.C., 1997.

Nakamura

Holiday Traffic Activities and Problems on Planning Procedure for Recreational Roads in Japan. IATSS Research (Tokyo), 1994.

Yai

Yamada

and Okamoto

Nationwide Recreational Travel Survey in Japan: Outline and Modeling Applicability. In Transportation Research Record 1493, TRB, National Research Council, Washington, D.C., 1995, pp. 29–38.

Farey

M. R.

and Park

C. V.

Holiday Traffic and Highway Link Design. Highways and Transportation, Vol. 35, No. 5 1988, pp. 40–42.

Arnold

and Cerrelli

E. C.

Holiday Effect on Traffic Fatalities. Report HS-807 115. National Center for Statistics and Analysis, Washington, D.C., 1987.

Bell

T. J.

Holiday Roads, Stay Safe this Season. Traffic Safety, Nov./Dec., 2001.

10.

Emmel

and Aber

Missouri Holiday Accidents Report. Missouri State Highway Patrol Statistical Analysis Center, Jefferson City, 1992.

11.

Liu

and Chen

Time Series Analysis and Forecast of Crash Fatalities During Six Holiday Periods. NHTSA Research Note. National Center for Statistics and Analysis, Washington, D.C., March 2004.

12.

Redfern

E. J.

Watson

S. M.

Tight

M. R.

and Clark

S. D.

A Comparative Assessment of Current and New Techniques for Detecting Outliers and Estimating Missing Values in Transport Related Time Series Data. In 21st Summer Annual Meeting of Transportation Planning Methods: Proceedings of Seminar D (CD-ROM), London, 1993, pp. 163–174.

13.

Canadian Heritage Department, Gatineau, Quebec, Canada. www.pch.gc.ca/progs/cpsc-ccsp/jfa-ha/index_e.cfm. Accessed March 3, 2003.

14.

Calendar Updates. www.calendar-updates.com/Holidays/canada.htm. Accessed 2003.

15.

Globalseek. www.globalseek.net/CoNTiNeNTs/NAMeRiCa/CaNaDainformation.html. Accessed 2004.

16.

Sharma

S. C.

Lingras

P. J.

Hassan

M. U.

and Murthy

N. A. S.

Road Classification According to Driver Population. In Transportation Research Record 1090, TRB, National Research Council, Washington, D.C., 1986, pp. 61–69.

17.

Montgomery

C. D.

and Runger

C. G.

Applied Statistics and Probability for Engineers, 3rd ed. Wiley & Sons, New York, 2003.

18.

Shirley

and Stanley

Statistics for Research, 2nd ed. Wiley & Sons, New York, 1991.

19.

Wayne

W. D.

Applied Nonparametric Statistics, 2nd ed. PWS-KENT Publishing Company, Boston, 1990.

20.

Traffic Engineering Handbook, 5th ed. Institute of Transportation Engineers, Washington, D.C., 1999.

21.

Mensah

and Hauer

Two Problems of Averaging Arising in the Estimation of the Relationship Between Accidents and Traffic Flow. In Transportation Research Record 1635, TRB, National Research Council, Washington, D.C., 1998, pp. 37–43.