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    Title: COVID-19疫情對民眾進行旅運及公共空間使用及認知之影響分析
    Analysis of the Impact of the COVID-19 Epidemic on People`s Travel and Public Space Use and Perception
    Authors: 林怡昕
    Lin, Yi-Sin
    Contributors: 白仁德
    Pai, Jen-Te
    林怡昕
    Lin, Yi-Sin
    Keywords: COVID-19
    大眾運輸
    公共空間
    多元迴歸分析
    結構方程模型
    COVID-19
    Public transportation
    Public space
    Multiple regression analysis
    Structural equation modeling
    Date: 2022
    Issue Date: 2022-08-01 18:23:04 (UTC+8)
    Abstract: COVID-19於全球爆發大規模感染,除了造成人類大量感染死亡,也重創人類習以為常的都市生活。各國政府及研究機構雖研發出疫苗及藥品等醫藥措施,然而COVID-19仍會在已接種疫苗及已康復之患者身上重複感染。在疫情肆虐兩年的現今,人類已著手與病毒長期抗戰。
    本研究以曾造成影響之疾病的文獻探討影響因素,再根據各國於COVID-19所歸納的都市生活變化和影響因素設計問卷。以2020年4至6月及2021年5至7月作為時間標的,臺灣居民為對象,紀錄疫情嚴重時期認知感受與都市空間、運輸工具之使用頻率。首先以敘述統計分析受試者認知及頻率之數據,再以多元迴歸分析探討變數間的關係,最後以偏最小平方法結構方程模型,建立交通運輸及公共空間使用認知模型。
    研究結果顯示,大眾運輸運具及室內公共空間的使用頻率於疫情嚴重期間顯著下降,並且風險認知為主要因素,該發現與文獻歸納因素相呼應,而不同疾病下有相同現象。此外,在不同嚴重程度的時間段,影響都市空間及交通運輸使用頻率的因素亦不同。如影響工作場所的頻率及休閒場所的頻率之因素,在疫情肆虐時期,由風險認知轉為收入和都市環境特徵。
    藉由分析疫情下都市空間和大眾運輸使用和心理感受,可了解傳染病期間民眾所重視及抱有疑慮的都市特徵。在與病毒共存的時代,都市規劃者可應用相關經驗,以降低都市風險和消除疑慮的方向,設計後疫情下的都市環境。
    The outbreak of large-scale infection of COVID-19 around the world has not only caused a large number of human infections and deaths, but also severely damaged the urban life that humans are accustomed to. Although governments and research institutions around the world have developed vaccines, pharmaceuticals and other medical measures, COVID-19 will still re-infect vaccinated and recovered patients. Now that the epidemic has been raging for two years, mankind has embarked on a long-term battle against the virus.
    This study explores the influencing factors based on the literature of the diseases that have caused the impact, and then designs a questionnaire based on the changes and influencing factors of urban life summarized by various countries in the context of COVID-19. Taking April-June 2020 and May-July 2021 as the target time periods, residents in Taiwan are sampled to survey the cognitive experience and the usage of urban public space and means of transportation during the severe epidemic period. Firstly, the descriptive statistics of subjects` cognition and frequency were analyzed, and then the casual relation between variables was explored by multiple regression analysis. Finally, the cognitive model of public transportation and space usage were established by using partial least squares structural equation model.
    The results of the study showed that the frequency of use of public transportation and indoor public spaces decreased significantly during the severe epidemic period, and risk perception was the main factor. In addition, the factors affecting the frequency of urban space and transportation use are also different in time periods of different severity. For example, factors affecting the frequency of workplaces and leisure venues have shifted from risk perception to income and urban environment characteristics during the raging epidemic. By analyzing the usage cognition and perception of urban space and public transportation during the epidemic, the critical urban characteristics which were valued and worried by residents during the epidemic can be understood. In the era of coexistence with the virus, urban planners can apply relevant experience to reduce urban risks and eliminate doubts in the direction of designing urban environments under the epidemic.
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    Description: 碩士
    國立政治大學
    地政學系
    109257014
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0109257014
    Data Type: thesis
    DOI: 10.6814/NCCU202200744
    Appears in Collections:[地政學系] 學位論文

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