{"title":"Covid-19 大流行限制对分区交通需求的影响:来自低密度城市的证据","authors":"Mysore Narasimhamurthy Sharath , Phani Kumar Patnala , Babak Mehran , Jonathan Regehr","doi":"10.1016/j.rtbm.2024.101234","DOIUrl":null,"url":null,"abstract":"<div><div>Studies investigating the effects of COVID-19 pandemic on transit ridership of low-density cities are scarce. There exist three unanswered questions in the context of low-density cities: (i) how much patronage losses can be attributed to pandemic restrictions? (ii) which land use zones are more vulnerable to demand declines? and (iii) what factors contribute to zonal vulnerability? The present study intends to answer these questions by investigating zonal level boardings of bus transit system in the city of Winnipeg, Canada. For this purpose, two multivariate adaptive regression splines (MARS) models were developed: (i) a time-series MARS model based on historical transit demand patterns at zonal level, and (ii) a regressive MARS model to predict demand decline as a function of land use, socio-demographic, and zonal-level variables. The magnitude of the demand decline was found to be highest in April 2020, with a total loss of 1.74 million boardings attributable to the COVID-19 pandemic. Among 840 zones, transit usage in commercial (50 %–60 % reduction), education (80 % reduction), and recreational (60 %–80 % reduction) zones are most affected by pandemic restrictions. The findings are valuable for transit officials of low-density cities to effectively plan response strategies for long-term operational disruptions due to pandemic situations.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"57 ","pages":"Article 101234"},"PeriodicalIF":4.1000,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Effects of Covid-19 pandemic restrictions on zonal transit demand: Evidence from a low-density city\",\"authors\":\"Mysore Narasimhamurthy Sharath , Phani Kumar Patnala , Babak Mehran , Jonathan Regehr\",\"doi\":\"10.1016/j.rtbm.2024.101234\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Studies investigating the effects of COVID-19 pandemic on transit ridership of low-density cities are scarce. There exist three unanswered questions in the context of low-density cities: (i) how much patronage losses can be attributed to pandemic restrictions? (ii) which land use zones are more vulnerable to demand declines? and (iii) what factors contribute to zonal vulnerability? The present study intends to answer these questions by investigating zonal level boardings of bus transit system in the city of Winnipeg, Canada. For this purpose, two multivariate adaptive regression splines (MARS) models were developed: (i) a time-series MARS model based on historical transit demand patterns at zonal level, and (ii) a regressive MARS model to predict demand decline as a function of land use, socio-demographic, and zonal-level variables. The magnitude of the demand decline was found to be highest in April 2020, with a total loss of 1.74 million boardings attributable to the COVID-19 pandemic. Among 840 zones, transit usage in commercial (50 %–60 % reduction), education (80 % reduction), and recreational (60 %–80 % reduction) zones are most affected by pandemic restrictions. The findings are valuable for transit officials of low-density cities to effectively plan response strategies for long-term operational disruptions due to pandemic situations.</div></div>\",\"PeriodicalId\":47453,\"journal\":{\"name\":\"Research in Transportation Business and Management\",\"volume\":\"57 \",\"pages\":\"Article 101234\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2024-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Research in Transportation Business and Management\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2210539524001366\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research in Transportation Business and Management","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210539524001366","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
Effects of Covid-19 pandemic restrictions on zonal transit demand: Evidence from a low-density city
Studies investigating the effects of COVID-19 pandemic on transit ridership of low-density cities are scarce. There exist three unanswered questions in the context of low-density cities: (i) how much patronage losses can be attributed to pandemic restrictions? (ii) which land use zones are more vulnerable to demand declines? and (iii) what factors contribute to zonal vulnerability? The present study intends to answer these questions by investigating zonal level boardings of bus transit system in the city of Winnipeg, Canada. For this purpose, two multivariate adaptive regression splines (MARS) models were developed: (i) a time-series MARS model based on historical transit demand patterns at zonal level, and (ii) a regressive MARS model to predict demand decline as a function of land use, socio-demographic, and zonal-level variables. The magnitude of the demand decline was found to be highest in April 2020, with a total loss of 1.74 million boardings attributable to the COVID-19 pandemic. Among 840 zones, transit usage in commercial (50 %–60 % reduction), education (80 % reduction), and recreational (60 %–80 % reduction) zones are most affected by pandemic restrictions. The findings are valuable for transit officials of low-density cities to effectively plan response strategies for long-term operational disruptions due to pandemic situations.
期刊介绍:
Research in Transportation Business & Management (RTBM) will publish research on international aspects of transport management such as business strategy, communication, sustainability, finance, human resource management, law, logistics, marketing, franchising, privatisation and commercialisation. Research in Transportation Business & Management welcomes proposals for themed volumes from scholars in management, in relation to all modes of transport. Issues should be cross-disciplinary for one mode or single-disciplinary for all modes. We are keen to receive proposals that combine and integrate theories and concepts that are taken from or can be traced to origins in different disciplines or lessons learned from different modes and approaches to the topic. By facilitating the development of interdisciplinary or intermodal concepts, theories and ideas, and by synthesizing these for the journal''s audience, we seek to contribute to both scholarly advancement of knowledge and the state of managerial practice. Potential volume themes include: -Sustainability and Transportation Management- Transport Management and the Reduction of Transport''s Carbon Footprint- Marketing Transport/Branding Transportation- Benchmarking, Performance Measurement and Best Practices in Transport Operations- Franchising, Concessions and Alternate Governance Mechanisms for Transport Organisations- Logistics and the Integration of Transportation into Freight Supply Chains- Risk Management (or Asset Management or Transportation Finance or ...): Lessons from Multiple Modes- Engaging the Stakeholder in Transportation Governance- Reliability in the Freight Sector