DC Field | Value | Language |
---|---|---|
dc.contributor.author | Mishra, Sumit | ko |
dc.contributor.author | Singh, Nikhil | ko |
dc.contributor.author | Bhattacharya, Devanjan | ko |
dc.date.accessioned | 2021-09-08T07:30:04Z | - |
dc.date.available | 2021-09-08T07:30:04Z | - |
dc.date.created | 2021-09-08 | - |
dc.date.created | 2021-09-08 | - |
dc.date.created | 2021-09-08 | - |
dc.date.created | 2021-09-08 | - |
dc.date.issued | 2021-08 | - |
dc.identifier.citation | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, v.10, no.8 | - |
dc.identifier.issn | 2220-9964 | - |
dc.identifier.uri | http://hdl.handle.net/10203/287671 | - |
dc.description.abstract | Short distance travel and commute being inevitable, safe route planning in pandemics for micro-mobility, i.e., cycling and walking, is extremely important for the safety of oneself and others. Hence, we propose an application-based solution using COVID-19 occurrence data and a multi-criteria route planning technique for cyclists and pedestrians. This study aims at objectively determining the routes based on various criteria on COVID-19 safety of a given route while keeping the user away from potential COVID-19 transmission spots. The vulnerable spots include places such as a hospital or medical zones, contained residential areas, and roads with a high connectivity and influx of people. The proposed algorithm returns a multi-criteria route modeled on COVID-19-modified parameters of micro-mobility and betweenness centrality considering COVID-19 avoidance as well as the shortest available safe route for user ease and shortened time of outside environment exposure. We verified our routing algorithm in a part of Delhi, India, by visualizing containment zones and medical establishments. The results with COVID-19 data analysis and route planning suggest a safer route in the context of the coronavirus outbreak as compared to normal navigation and on average route extension is within 8%-12%. Moreover, for further advancement and post-COVID-19 era, we discuss the need for adding open data policy and the spatial system architecture for data usage, as a part of a pandemic strategy. The study contributes new micro-mobility parameters adapted for COVID-19 and policy guidelines based on aggregated contact tracing data analysis maintaining privacy, security, and anonymity. | - |
dc.language | English | - |
dc.publisher | MDPI | - |
dc.title | Application-Based COVID-19 Micro-Mobility Solution for Safe and Smart Navigation in Pandemics | - |
dc.type | Article | - |
dc.identifier.wosid | 000689278800001 | - |
dc.identifier.scopusid | 2-s2.0-85114322607 | - |
dc.type.rims | ART | - |
dc.citation.volume | 10 | - |
dc.citation.issue | 8 | - |
dc.citation.publicationname | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION | - |
dc.identifier.doi | 10.3390/ijgi10080571 | - |
dc.contributor.localauthor | Mishra, Sumit | - |
dc.contributor.nonIdAuthor | Singh, Nikhil | - |
dc.contributor.nonIdAuthor | Bhattacharya, Devanjan | - |
dc.description.isOpenAccess | Y | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | COVID-19 routing problem | - |
dc.subject.keywordAuthor | susceptibility mapping | - |
dc.subject.keywordAuthor | pandemic urban sustenance | - |
dc.subject.keywordAuthor | geospatial analysis | - |
dc.subject.keywordAuthor | information management system | - |
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