Literature DB >> 11426674

Freeway management systems and motor vehicle crashes: a case study of Phoenix, Arizona.

T Olmstead1.   

Abstract

This paper measures the impact of a freeway management system (FMS) on the incidence of reported motor vehicle crashes in Phoenix, AZ. Using a fixed effects negative binomial regression model, I find that the FMS reduces the frequency of crashes involving property damage only, possible injury, and minor injury by 25, 30, and 21%, respectively. I find no evidence for an effect on the frequency of major injury crashes or fatal crashes, although such accidents account for less than 5% of the total crashes in Phoenix. Classifying the data by the type of crash rather than by severity, I find that the frequencies of rearend crashes and sideswipe crashes are reduced by 25 and 37%, respectively, and I find no evidence of an effect on single vehicle crashes. The results are robust to many different model specifications, including a variety of functional forms, covariates, and data. A conservative estimate of the annual crash benefits of the FMS in Phoenix ranges from $4.8-13.2 million, depending on various assumptions about the value of pain and suffering and about the extent of crash underreporting. These annual crash benefits far outweigh the $1.6 million in annual operating and maintenance costs of the Phoenix FMS, and they offset considerably the approximately $47 million invested to date in the design and construction of the system.

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Year:  2001        PMID: 11426674     DOI: 10.1016/s0001-4575(00)00057-9

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  2 in total

1.  Safer Roads Owing to Higher Gasoline Prices: How Long It Takes.

Authors:  Guangqing Chi; Willie Brown; Xiang Zhang; Yanbing Zheng
Journal:  Am J Public Health       Date:  2015-06-11       Impact factor: 9.308

Review 2.  Current Understanding of the Effects of Congestion on Traffic Accidents.

Authors:  Angus Eugene Retallack; Bertram Ostendorf
Journal:  Int J Environ Res Public Health       Date:  2019-09-13       Impact factor: 3.390

  2 in total

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