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新冠疫情与纽约中央公园访客量。

COVID-19 and visitation to Central Park, New York City.

机构信息

Food and Resource Economics Department, University of Florida, Gainesville, Florida, United States of America.

National School of Agricultural Institution and Development, South China Agricultural University, Guangzhou, Guangdong, China.

出版信息

PLoS One. 2023 Sep 13;18(9):e0290713. doi: 10.1371/journal.pone.0290713. eCollection 2023.

Abstract

Central Park is an iconic feature of New York City, which was the first and one of the hardest hit cities in the United States by the Coronavirus. State-level stay-at-home order, raising COVID-19 cases, as well as the public's personal concerns regarding exposure to the virus, led to a significant reduction of Central Park visitation. We utilized extensive cellphone tracking data to conduct one of the pioneering empirical studies assessing the economic impact of COVID-19 on urban parks. We integrated the difference-in-difference (DID) design with the recreation-demand model. The DID design aids in identifying the causal impacts, controlling for unobservable factors that might confound the treatment effects of interest. Concurrently, the recreational demand model examines the driving factors of visitation changes and enables us to estimate the welfare changes experienced by New York City's residents. Our findings shine a light on the substantial, yet often overlooked, welfare loss triggered by the pandemic. The analysis indicates that the pandemic resulted in a 94% reduction in visitation, corresponding to an annual consumer surplus loss of $450 million. We noted a rebound in visitation following the initial outbreak, influenced by shifts in government policy, weather conditions, holiday periods, and personal characteristics.

摘要

中央公园是纽约市的标志性特征,它是美国首批也是受冠状病毒影响最严重的城市之一。州级居家令、新冠肺炎病例的增加,以及公众对接触病毒的个人担忧,导致中央公园游客数量显著减少。我们利用广泛的手机跟踪数据,进行了一项开创性的实证研究,评估了新冠疫情对城市公园的经济影响。我们将差分法(DID)设计与娱乐需求模型相结合。DID 设计有助于确定因果影响,控制可能混淆感兴趣的治疗效果的不可观测因素。同时,娱乐需求模型考察了访问量变化的驱动因素,使我们能够估计纽约市居民经历的福利变化。我们的研究结果揭示了大流行带来的巨大但往往被忽视的福利损失。分析表明,疫情导致游客数量减少了 94%,这相当于每年消费者剩余损失 4.5 亿美元。我们注意到,在最初爆发后,由于政府政策、天气条件、节假日和个人特征的变化,游客数量出现了反弹。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da1e/10499239/db526b50ffd0/pone.0290713.g001.jpg

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