In 1992, the authors carried out a statistical analysis of Triborough
Bridge and Tunnel Authority (TBTA) crossings in New York City, to dete
rmine the impact of toll increases on traffic volumes and revenue. Usi
ng twelve years of monthly time-series data, we developed a set of mul
tiple regression models that estimated traffic volumes on each TBTA br
idge and tunnel as a function of the toll level and other explanatory
variables. In most cases, the estimated toll elasticities were negativ
e and much less than 1.0 in absolute value; the median toll elasticity
for automobiles was found to be -0.10. Our finding that automobile tr
avel demand is highly inelastic with respect to toll rates is consiste
nt with most previous travel demand studies.