Design Suggestion of Epidemic Prevention System for Shared Car Based on Scenario and Data
22nd International Conference on Man-Machine-Environment System Engineering, MMESE 2022
; 941 LNEE:309-316, 2023.
Article
in English
| Scopus | ID: covidwho-2014061
ABSTRACT
Entering the post-epidemic era, the travel demand for shared cars is increasing day by day. In the normalized epidemic prevention and control, epidemic prevention in shared cars needs to be designed systematically. This paper analyzes the existing risk of COVID-19 propagation based on two perspectives scenario and data, and discusses the existing means of protection. Then based on the existing measures, the design suggestions are given from two aspects scenario-based and data-based. Based on the scenario, the layout design and disinfection is implemented in regard to various ways that COVID-19 is transmitted;based on data, travel data integration should be promoted to achieve macro-structural dynamic adjustment and integrated governance from the overall transportation system. In the context of the industries, the shared car industry should response to new trend immediately and implement innovative ideas to obtain a service that is better suited for individuals in the post-epidemic era. In the end, several major functions of design in terms of developing the urban transportation system are discussed. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
COVID-19; Epidemic prevention system; Scenario and data; Shared cars; Urban transportation; Automotive industry; Climate models; Data integration; Disease control; Risk perception; Structural dynamics; Design suggestions; Layout designs; Paper analysis; Prevention and controls; Prevention systems; Scenario-based; Shared car; Travel demand
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
22nd International Conference on Man-Machine-Environment System Engineering, MMESE 2022
Year:
2023
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS