This paper investigates how block size influences traffic by dividing the travel distance, time, and number of turning maneuvers into two parts: the one that happens inside the block, and the one outside. We develop analytical formulations that yield representative values of the three aforementioned indicators under low-demand scenarios. A VISSIM simulation with a dynamic traffic assignment is used to verify such values, study the traffic behavior for high-demand scenarios, and evaluate the traffic performance, network capacity, and resiliency. The results indicate that traffic inside the block plays a more important role on the overall performance in networks with larger block size and/or short trips. In addition, smaller block-size networks yield shorter travel distance and better travel accessibility, as well as higher network capacity; whereas larger block-size networks have shorter travel time and smaller number of turnings under low-demand levels. In the congested situation, the larger block-size networks show relatively better performance as they take longer to become congested and gridlocked.
Modeling and Evaluating the Impact of City Block Size on Traffic Performance
A Simultaneous Route and Departure Time Choice Model for Evaluating Intelligent Transportation Systems Services
Received: March 11, 2019
Accepted: November 27, 2019
Published online: April 17, 2020
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