Khare Rupali, Villuri Vasanta Govind Kumar, Kumar Satish, Chaurasia Devarshi
GLA University, Mathura, Uttar Pradesh India.
Indian Institute of Technology (Indian School of Mines), Dhanbad, India.
Environ Dev Sustain. 2022 Sep 1:1-19. doi: 10.1007/s10668-022-02649-0.
The impact of the novel coronavirus disease (COVID-19) continues unabated. Still, it seems that apart from contact and respiratory transmission, the design and development pattern of an area does echoes to be a contributing factor in virus spreadability. The present study considers land use and transportation system parameters under TOD mode of 16 BRT station provinces in Bhopal, India, and COVID-19 cases data were collected from April 2020 to August 2020. Further, the Pearson correlation and mediational analysis were employed to determine the relationship between TODness and COVID-19 spread cases. The bootstrapping method was used to evaluate the mediation effect and describe why and under what conditions they are related. The study shows that TODness and COVID-19 spread cases are positively correlated. The results show a considerable correlation at ( < 0.05) is 0.405 of the dispersed along with TODness of an area in the analysed 16 BRT station areas. In particular, dispersed demonstrated a high-level correlation of 0.681 with TOD areas, whereas a moderate correlation of 0.322 with non-TOD areas was mediated by diversity and the number of available transit service indicators. Diversity and availability of high-quality transit services effectively spread the virus, whereas population density and public transport mediation effects are insignificant. Outcomes from this study may help government authorities and policymakers devise a strategy and adopt preventive measures in subsequent waves of the pandemic.
新型冠状病毒病(COVID-19)的影响仍在持续且未减弱。不过,除了接触传播和呼吸道传播外,一个地区的设计和发展模式似乎确实是病毒传播能力的一个促成因素。本研究考虑了印度博帕尔16个快速公交站省份的以公交导向发展(TOD)模式下的土地利用和交通系统参数,并收集了2020年4月至2020年8月的COVID-19病例数据。此外,采用皮尔逊相关性和中介分析来确定TOD程度与COVID-19传播病例之间的关系。使用自抽样法来评估中介效应,并描述它们为何以及在何种条件下相关。研究表明,TOD程度与COVID-19传播病例呈正相关。结果显示,在分析的16个快速公交站区域中,某一区域的离散度与TOD程度的相关性在(<0.05)时为0.405,具有显著相关性。特别是,离散度与TOD区域的相关性高达0.681,而与非TOD区域的相关性为0.322,由多样化和可用公交服务指标数量介导。高质量公交服务的多样性和可用性有效地传播了病毒,而人口密度和公共交通的中介效应不显著。本研究的结果可能有助于政府当局和政策制定者制定战略,并在后续疫情浪潮中采取预防措施。