《Modeling and Evaluating the Impact of City Block Size on Traffic Performance》
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- 作者
- Lingxuan Zhang;Monica Menendez, A.M.ASCE
- 来源
- JOURNAL OF URBAN PLANNING AND DEVELOPMENT,Vol.146,Issue3
- 语言
- 英文
- 关键字
- 作者单位
- Ph.D. Candidate, School of Transportation and Logistics, Southwest Jiaotong Univ., Chengdu 610031, China (corresponding author). ORCID: https://orcid.org/0000-0003-1988-5999. Email: [email protected];Associate Professor, Division of Engineering, New York Univ. Abu Dhabi 129188. ORCID: https://orcid.org/0000-0001-5701-0523. Email: monica[email protected]
- 摘要
- 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.