COVID-19 Pandemic, Geospatial Information, and Community Resilience最新文献

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The Potential of Drone Technology in Pandemics 无人机技术在流行病中的潜力

COVID-19 Pandemic, Geospatial Information, and Community Resilience Pub Date : 2021-06-07 DOI: 10.1201/9781003181590-7

D. R. Green, Alex R. Karachok, B. Gregory

{"title":"The Potential of Drone Technology in Pandemics","authors":"D. R. Green, Alex R. Karachok, B. Gregory","doi":"10.1201/9781003181590-7","DOIUrl":"https://doi.org/10.1201/9781003181590-7","url":null,"abstract":"In recent years, drones or Unmanned Airborne Vehicles (UAVs) have become associated with aerial data and image acquisition for many environmental applications. Unexpectedly, the COVID-19 pandemic in 2020 has led to new opportunities for drones in many new application areas, with and without the use of remote sensing imaging technology. Many unique applications have already been proposed within a short period of time, some building on existing pre-COVID-19 demonstrations and ideas, to exploring new possibilities for use. Whilst drone technology is well-established, there are still factors requiring further investigation to fully exploit drones. These include: allocation, management and control of drone air space, operation Beyond Visual Line of Sight (BVLOS), the role of existing and new telecommunication networks, safe operation in built-up areas, and societal approval and acceptance. This chapter presents an overview of current drone technology and future developments and the exploration of some existing and proposed applications. The chapter will examine the issues facing successful mainstream implementation of the use of drones for these applications, and the problems that need to be overcome to allow this technology to mature and become mainstream.","PeriodicalId":162107,"journal":{"name":"COVID-19 Pandemic, Geospatial Information, and Community Resilience","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131472277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Lessons Learned from COVIDSafe: Understanding Conditions for Successful Implementation of Track and Trace Technologies 从covid - safe吸取的经验教训:了解成功实施跟踪和追踪技术的条件

COVID-19 Pandemic, Geospatial Information, and Community Resilience Pub Date : 2021-06-07 DOI: 10.1201/9781003181590-49

Nathan Carpenter, A. Dabrowski

引用次数: 0

London in Lockdown: Mobility in the Pandemic City 封锁中的伦敦:流行病城市的流动性

COVID-19 Pandemic, Geospatial Information, and Community Resilience Pub Date : 2020-11-13 DOI: 10.1201/9781003181590-21

M. Batty, R. Murcio, Iacopo Iacopini, Maarten Vanhoof, R. Milton

{"title":"London in Lockdown: Mobility in the Pandemic City","authors":"M. Batty, R. Murcio, Iacopo Iacopini, Maarten Vanhoof, R. Milton","doi":"10.1201/9781003181590-21","DOIUrl":"https://doi.org/10.1201/9781003181590-21","url":null,"abstract":"This chapter looks at the spatial distribution and mobility patterns of essential and non-essential workers before and during the COVID-19 pandemic in London and compares them to the rest of the UK. In the 3-month lockdown that started on 23 March 2020, 20% of the workforce was deemed to be pursuing essential jobs. The other 80%% were either furloughed, which meant being supported by the government to not work, or working from home. Based on travel journey data between zones (trips were decomposed into essential and non-essential trips. Despite some big regional differences within the UK, we find that essential workers have much the same spatial patterning as non-essential for all occupational groups containing essential and non-essential workers. Also, the amount of travel time saved by working from home during the Pandemic is roughly the same proportion -80%-as the separation between essential and non-essential workers. Further, the loss of travel, reduction in workers, reductions in retail spending as well as increases in use of parks are examined in different London boroughs using Google Mobility Reports which give us a clear picture of what has happened over the last 6 months since the first Lockdown. These reports also now imply that a second wave of infection is beginning.","PeriodicalId":162107,"journal":{"name":"COVID-19 Pandemic, Geospatial Information, and Community Resilience","volume":"06 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127193130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 15