Disentangling the influence of cell phone usage in the dilemma zone: An econometric approach

Accid Anal Prev. 2016 Nov:96:280-289. doi: 10.1016/j.aap.2015.11.036. Epub 2015 Dec 31.

Abstract

This paper focuses on developing an analysis framework to study the impact of cell phone treatment (cell phone type and call status) on driver behavior in the presence of a dilemma zone. Specifically, we examine how the treatment influences the driver maneuver decision at the intersection (stop or cross) and the eventual success of the maneuver. For a stop maneuver, success is defined as stopping before the stop line. Similarly, for a cross maneuver, success is defined as clearing the intersection safely before the light turns red. The eventual success or failure of the driver's decision process is dependent on the factors that affected the maneuver decision. Hence it is important to recognize the interconnectedness of the stop or cross decision with its eventual success (or failure). Toward this end, we formulate and estimate a joint framework to analyze the stop/cross decision with its eventual success (or failure) simultaneously. The study is conducted based on driving simulator data provided online for the 2014 Transportation Research Board Data Contest at http://depts.washington.edu/hfsm/upload.php. The model is estimated to analyze drivers' behavior at the onset of yellow by employing exogenous variables from three broad categories: driver characteristics, cell phone attributes and driving attributes. We also generate probability surfaces to identify dilemma zone distribution associated with different cell phone treatment types. The plots clearly illustrate the impact of various cellphone treatments on driver dilemma zone behavior.

Keywords: Cell phone usage; Dilemma zone; Driver behavior; Unobserved factors.

MeSH terms

  • Adolescent
  • Adult
  • Automobile Driving / psychology*
  • Cell Phone*
  • Computer Simulation
  • Decision Making*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Models, Econometric
  • Models, Theoretical
  • Safety*
  • Young Adult