新冠疫情防控对大湾区高速公路运输的影响分析

doi:10.16097/j.cnki.1009-6744.2022.05.033

交通运输系统工程与信息 ›› 2022, Vol. 22 ›› Issue (5): 318-327.DOI: 10.16097/j.cnki.1009-6744.2022.05.033

新冠疫情防控对大湾区高速公路运输的影响分析

林培群^* ，曾维嘉，周楚昊，庞崇浩

华南理工大学，土木与交通学院，广州 510640

收稿日期:2022-05-08 修回日期:2022-06-13 接受日期:2022-06-16 出版日期:2022-10-25 发布日期:2022-10-22
作者简介:林培群(1980- )，男，广东饶平人，教授，博士。
基金资助:
国家自然科学基金；广东省自然科学基金

Impact of COVID-19 Prevention and Control Measures on Expressway Transportation in Guangdong-Hong Kong-Macao Greater Bay Area

LIN Pei-qun^* , ZENG Wei-jia, ZHOU Chu-hao, PANG Chong-hao

School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, China

Received:2022-05-08 Revised:2022-06-13 Accepted:2022-06-16 Online:2022-10-25 Published:2022-10-22
Supported by:
National Natural Science Foundation of China (52072130)；Natural Science Foundation of Guangdong Province, China (2021A1515010409)。

摘要/Abstract

摘要： 在新冠疫情常态化防控背景下，我国区域性疫情频发，如何量化疫情防控措施对经济运行和客货运输的影响成为社会亟待研究的问题。为此，本文设计了高速公路运输指标计算方法，提出疫情防控措施的等级与阶段划分流程，建立双重差分模型分析疫情防控措施对高速公路运输指标的影响。本文以粤港澳大湾区主要城市为对象，基于2020年5月—2022年4月高速公路收费数据和疫情防控信息开展案例研究。研究结果表明：I级(加强)防控措施下，客车流量显著下跌，各案例降幅在8%~27%之间，货运指标变化不明显。深圳和东莞在II级(严格)防控阶段，客货运指标均剧烈下跌，两市客车流量分别再下降 46.3%和 33.7%，货车流量分别再下降 42.7%和 27.6%，货运量和货物周转量降幅与货车流量相当。高速公路客车市际平均运距在I级防控措施下存在下降趋势，但在II级阶段下，客车和货车市际平均运距均显著提升。本文为城市与城市群疫情防控措施的制定与实施提供一定的参考价值。

关键词: 交通工程, 运输指标影响, 双重差分模型, 新冠疫情, 高速公路

Abstract: Under the background of normalized COVID-19 prevention and control, regional epidemics occur frequently in China. How to quantify the impact of COVID-19 prevention and control measures on economic operation and passenger and freight transportation has become an urgent problem. To this end, we design a calculation method for expressway transportation indicators, propose the level and stage division process of COVID-19 prevention and control measures, and then establish a difference-in-difference model to further analyze their impact on expressway transportation indicators. Taking major cities in the Guangdong-Hong Kong-Macao Greater Bay Area as an example, case studies are conducted based on the expressway toll data and COVID-19 prevention and control information from May 2020 to April 2022. The results show that in the level I (strengthened) stage, the passenger vehicle flow has dropped significantly, the drop in each case is between 8% and 27% , and the freight indicators have not changed significantly. In Shenzhen and Dongguan, both passenger and freight indicators dropped sharply in the level II (strict) stage. Passenger vehicle flow in the two cities dropped by 46.3% and 33.7%, and truck flow by 42.7% and 27.6%, respectively, and cargo and turnover decreased as much as truck flow. The average inter-city distance of expressway passenger cars has a downward trend under the level I stage, but under the level II stage, the average inter-city distance of passenger cars and trucks has increased significantly. This study can provide a certain reference value for the formulation and implementation of COVID-19 prevention and control measures in cities and urban agglomerations.

Key words: traffic engineering, impact of transportation, difference-in-difference model, COVID-19, expressway

中图分类号:

U491

林培群, 曾维嘉, 周楚昊, 庞崇浩. 新冠疫情防控对大湾区高速公路运输的影响分析[J]. 交通运输系统工程与信息, 2022, 22(5): 318-327.

LIN Pei-qun, ZENG Wei-jia, ZHOU Chu-hao, PANG Chong-hao. Impact of COVID-19 Prevention and Control Measures on Expressway Transportation in Guangdong-Hong Kong-Macao Greater Bay Area[J]. Journal of Transportation Systems Engineering and Information Technology, 2022, 22(5): 318-327.

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参考文献

[1] 中华人民共和国交通运输部.《2020年全国收费公路统计公报》[EB/OL]. (2021-10-28)[2022-04-19]. https: //xxgk. mot. gov. cn/ 2020/ jigou/ glj/ 202110/ t20211027_3623195.html. [Ministry of Transport of the People's Republic of China. "2020 National toll road statistical bulletin" [EB/OL]. (2021-10-28) [2022-04- 19]. https: //xxgk. mot. gov. cn/ 2020/ jigou/ glj/ 202110/ t20211027_3623195.html.]

[2] 中华人民共和国交通运输部. 国务院办公厅印发《深化收费公路制度改革取消高速公路省界收费站实施方案》[EB/OL]. (2019- 05- 21) [2022- 04- 20]. https:// www. mot. gov. cn/ zhuanti/ shoufeiglzdgg/ gongzuodt/ 201907/ t20190704_3221069. html. [Ministry of Transport of the People's Republic of China. The general office of the state council issued "the implementation plan for deepening the reform of the toll highway system and cancelling the provincial toll stations on expressways" [EB/OL]. (2019-05-21) [2022-04-20]. https:// www. mot. gov. cn/ zhuanti/ shoufeiglzdgg/ gongzuodt/ 201907/t20190704_3221069.html.]

[3] LAU H, KHOSRAWIPOUR V, KOCBACH P, et al. The positive impact of lockdown in Wuhan on containing the COVID-19 outbreak in China[J]. Journal of Travel Medicine, 2020(3): 3.

[4] 陈武, 张海波, 高睿. 新冠疫情应急管理中的管制政策与疫情分布的时空关系: 以 2020 年春节期间湖北省各地区应对策略为例[J]. 公共管理与政策评论, 2020, 9(3): 16-28. [CHEN W, ZHANG H B, GAO R. The temporal and spatial relationship between the control policy and the COVID-19 distribution in the emergency management of the COVID-19: Taking the response strategies of various regions in Hubei province during the spring festival in 2020 as an example[J]. Public Management and Policy Review, 2020, 9(3): 16- 28.]

[5] 贾兴利, 周吴啸, 韩兴家, 等. 交通管控措施对市域新冠疫情传播的阻断效果分析[J]. 中国公路学报, 2022, 35(1): 252-262. [JIA X L, ZHOU W X, HAN X J, et al. Analysis of the blocking effect of traffic control measures on the spread of COVID-19 in the city[J]. Journal of China Highway, 2022, 35(1): 252-262.]

[6] 姬杨蓓蓓, 莫世杰, 成枫. 公共交通管控对新冠肺炎病毒(COVID-19)疫情爆发期的影响分析[J]. 重庆交通大学学报(自然科学版), 2020, 39(8): 20-28. [JI Y B B, MO S J, CHENG F. Analysis of the impact of public transportation control on the outbreak of the new coronavirus (COVID-19)[J]. Journal of Chongqing Jiaotong University (Natural Science Edition), 2020, 39(8): 20-28.]

[7] KRAEMER M U G, YANG C H, GUTIERREZ B, et al. The effect of human mobility and control measures on the COVID-19 epidemic in China[J]. Science, 2020, 368 (6490): 493-497.

[8] TIAN H, LIU Y, LI Y, et al. An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China[J]. Science, 2020 , 368 (6491): 638-642.

[9] 张钊, 王京华, 甘珍夕, 等. 新冠肺炎疫情下武汉封城令对交通流的影响: 以浙江省为例[J]. 交通运输研究, 2020, 33(3): 23-29. [ZHANG Z, WANG J H, GAN Z X, et al. The impact of Wuhan's city closure order on traffic flow under the new crown pneumonia epidemic: Taking Zhejiang province as an example[J]. Transportation Research, 2020, 33(3): 23-29.]

[10] 周一鸣, 姜彩良.“非典”和新冠肺炎疫情对我国客货运输的影响比较与分析[J]. 交通运输研究, 2020, 6 (1): 24-32. [ZHOU Y M, JIANG C L. Comparison and analysis of the impact of "SARS" and the COVID-19 on China's passenger and freight transportation[J]. Transportation Research, 2020, 6(1): 24-32.]

[11] 江飞涛, 蔡卫星. 新冠肺炎疫情防控中城市交通管制效果的经验评估[J]. 产业经济评论, 2020(4): 59-74. [JIANG F T, CAI W X. Empirical evaluation of the effect of urban traffic control in the prevention and control of the COVID-19 [J]. Industrial Economic Review, 2020(4): 59-74.]

[12] 闫常鑫, 王彬, 陈理, 等. 新冠肺炎交通防控政策对长沙市人口流动的影响[J]. 交通运输系统工程与信息, 2021, 21(5): 190-197. [YAN C X, WANG B, CHEN L, et al. The impact of new coronary pneumonia traffic prevention and control policies on population mobility in Changsha[J]. Transportation System Engineering and Information, 2021, 21(5): 190 -197.]

[13] ALOI A, ALONSO B, BENAVENTE J, et al. Effects of the COVID-19 lockdown on urban mobility: Empirical evidence from the city of Santander (Spain) [J]. Sustainability, 2020, 12(9): 3870.

[14] 叶芳, 王燕. 双重差分模型介绍及其应用[J]. 中国卫生统计, 2013, 30(1): 131-134. [YE F, WANG Y. Introduction and application of double difference model [J]. China Health Statistics, 2013, 30(1): 131-134.]

[15] 广东交通公众号. 就在今天, 广东高速通车总里程突破 1.1 万 km！[EB/OL]. (2021-12-31) [2022-04-21]. https: //mp. weixin. qq. com/ s/ SIQt1c6clZHBG_IFwP2Gmg. [Guangdong Traffic Public Account. Just today, the total mileage of Guangdong expressway opened to traffic exceeded 11000 kilometers! [EB/OL]. (2021-12-31) [2022-04-21]. https: //mp. weixin. qq. com/ s/ SIQt1c6clZHBG_IFwP2Gmg.]

新冠疫情防控对大湾区高速公路运输的影响分析

Impact of COVID-19 Prevention and Control Measures on Expressway Transportation in Guangdong-Hong Kong-Macao Greater Bay Area

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