Research on perception bias of implementation benefits of urban intelligent transportation system based on big data

Providing convenient and comfortable transportation services for residents is an important part of urban construction, in which the intelligent transportation system (ITS) plays an important role. This study used the big data of urban public transportation in China and the evaluation of ITS in touri...

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Veröffentlicht in:EURASIP journal on wireless communications and networking Jg. 2019; H. 1; S. 1 - 7
Hauptverfasser: Hu, Xiao, Deng, Zhenghua
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Cham Springer International Publishing 09.05.2019
Springer Nature B.V
SpringerOpen
Schlagworte:
Bias
Big Data
Communications Engineering
Data management
Digital mapping
Distributed Big Data Processing in SCADA Communication Networks
Engineering
Information Systems Applications (incl.Internet)
Intelligent transportation system
Intelligent transportation systems
Networks
Perception
Perception Bias
Public transportation
Residential density
Signal,Image and Speech Processing
Tourism
Transportation services
Websites
China
Intelligent transportation system
Perception Bias
Big data
ISSN:1687-1499, 1687-1472, 1687-1499
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Zusammenfassung:Providing convenient and comfortable transportation services for residents is an important part of urban construction, in which the intelligent transportation system (ITS) plays an important role. This study used the big data of urban public transportation in China and the evaluation of ITS in tourism e-commerce website to compare travelers’ perception of urban intelligent transportation with the objective effects of ITS and analyzed the factors that affect the perception bias of urban residents about ITS. The conclusions are as follows: (1) there are regional differences in travelers’ perception of ITS. The traveler’s evaluation of ITS in the cities of East China is best in China, followed by cities in the central and southwestern regions. (2) The perception bias of urban residents from ITS is generally affected by the density of road network and travel radius. The influencing factors of perception bias are obviously different between provincial capital cities and non-provincial capital cities. (3) The use of digital maps, navigation, and intelligent road conditions in the travel process can improve travelers’ evaluation of ITS.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1687-1499
1687-1472
1687-1499
DOI:10.1186/s13638-019-1452-y