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Modeling and Evaluating the Impact of City Block Size on Traffic Performance
| 题名： | Modeling and Evaluating the Impact of City Block Size on Traffic Performance |
| 正文语种： | 英文 |
| 作者： | Lingxuan Zhang; Monica Menendez |
| 作者单位： | outhwest Jiaotong Univ.; New York Univ. |
| 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. |
| 出版日期： | 2020.09 |
| 出版年： | 2020 |
| 期刊名称： | Journal of Urban Planning and Development |
| 卷： | Vol.146 |
| 期： | No.03 |
| 页码： | 04020021 |
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