A review of research on public transport priority based on CiteSpace

被引:3
|
作者
Cheng, Guozhu [1 ]
Liu, Xuanling [1 ]
Pei, Yulong [1 ]
机构
[1] Northeast Forestry Univ, Sch Civil Engn & Transportat, Harbin 150040, Peoples R China
关键词
Urban traffic; Public transport priority; Bus lane; Signal control; Visualization analysis; TRANSIT SIGNAL PRIORITY; TRAVEL-TIME PREDICTION; BUS RAPID-TRANSIT; DEDICATED BUS; INTEGRATED OPTIMIZATION; PERFORMANCE ANALYSIS; DECISION-MAKING; CONTROL MODEL; PRE-SIGNAL; NETWORK;
D O I
10.1016/j.jtte.2023.04.008
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The prioritization of public transit as an essential means of promoting sustainable urban development has a significant role in improving the quality of public transportation services, reducing traffic congestion, and enhancing air quality. To improve the implementation of public transit prioritization policies, this study conducted a comprehensive review of relevant literature on public transit prioritization from two major citation data-bases (Web of Science and China National Knowledge Infrastructure) from 2003 to 2021. Utilizing the visualization analysis software CiteSpace, this study analyzed knowledge visualization from five aspects: research sources, research institutions, knowledge foundation, knowledge frontier, and research hotspots, and summarized the research history and implementation effectiveness of public transit prioritization policies. The study concludes that existing research has some deficiencies in terms of urban diversity, compre-hensive evaluation system, holistic perspective, interdisciplinary collaboration, and consideration of economic and environmental impacts. Future research should focus on development directions such as intelligence, sustainability, interdisciplinary collaboration, and integration of multi-modal transportation. The findings of this study can provide valuable references for the implementation of public transportation prioritization policies and future research. (c) 2023 Periodical Offices of Chang'an University. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:1118 / 1147
页数:30
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