scholarly journals The Research on Influencing Factors of Autonomous Vehicle Usage Behavior: Root Analysis Based on UTAUT2 Model

2021 ◽  
Vol 1910 (1) ◽  
pp. 012057
Author(s):  
Hao Zheng ◽  
Hongyan Gao
Keyword(s):  
Influencing Factors ◽  
Autonomous Vehicle ◽  
Usage Behavior ◽  
Root Analysis ◽  
Vehicle Usage

scholarly journals The Implication of Wearables and the Factors Affecting Their Usage among Recreationally Active People

2020 ◽  
Vol 17 (22) ◽  
pp. 8532
Author(s):  
Anna Hendker ◽  
Malte Jetzke ◽  
Eric Eils ◽  
Claudia Voelcker-Rehage
Keyword(s):  
Influencing Factors ◽  
Weather Conditions ◽  
Well Being ◽  
Similar Amount ◽  
Factors Affecting ◽  
Usage Behavior ◽  
Day Of The Week ◽  
Fitness Tracker ◽  
Consumer Devices ◽  
Health And Well Being

Regular physical activity (PA) is associated with health and well-being. Recent findings show that PA tracking using technological devices can enhance PA behavior. Consumer devices can track many different parameters affecting PA (e.g., number of steps, distance, and heart rate). However, it remains unclear what factors affect the usage of such devices. In this study, we evaluated whether there was a change in usage behavior across the first weeks of usage. Further we investigated whether external factors such as weather and day of the week influence usage behavior. Thirty nine participants received a Fitbit Charge 2 fitness tracker for a nine-week period. All participants were asked to wear the device according to their wishes. The usage time and amount of PA were assessed, and the influencing factors, such as weather conditions and day of the week, were analyzed. The results showed that usage behavior differed largely between individuals and decreased after five weeks of usage. Moreover, the steps per worn hour did not change significantly, indicating a similar amount of activity across the nine-week period when wearing the device. Further influencing factors were the day of the week (the tracker was used less on Sundays) and the temperature (usage time was lower with temperatures >25°). Tracking peoples’ activity might have the potential to evaluate different interventions to increase PA.

Autonomous Vehicle Usage--Model

2021 ◽  
Author(s):  
Jingchen Dai ◽  
Ruimin Li ◽  
Zhiyong Liu
Keyword(s):  
Autonomous Vehicle ◽  
Vehicle Usage

The Causes of Developing a Wireless City

2011 ◽  
pp. 137-149
Author(s):  
Mei-Chih Hu ◽  
Chien-Hung Liu ◽  
Ching-Yan Wu
Keyword(s):  
Influencing Factors ◽  
Innovation Adoption ◽  
Empirical Results ◽  
Factors Influencing ◽  
Usage Behavior

This study examines the causes of developing a wireless city, with Singapore and Taipei taken as examples. The examination is extended to include consideration of how the factors influencing consumer usage behavior have variable impacts on the development of wireless cities with diverse resource bases. The empirical results show that the internal and external influencing factors are related to each other and to the innovation adoption intentions during the development of a wireless city. From the cases of Singapore and Taipei, it is evident that the factors influencing innovation adoption intentions have varying impacts on the development of a wireless city given the diverse resource bases available.

Clustering of Vehicle Usage Behavior by Means of Artificial Bee Colony

2014 ◽  
pp. 335-346
Author(s):  
Cosimo Birtolo ◽  
Davide Ronca ◽  
Giovanni Capasso ◽  
Gennaro Sorrentino
Keyword(s):  
Artificial Bee Colony ◽  
Bee Colony ◽  
Usage Behavior ◽  
Vehicle Usage

POSSIBLE INFLUENCING FACTORS OF BOWEL CLEANLINESS DURING COLONOSCOPY

2018 ◽  
Author(s):  
I Iozsef ◽  
O Ilyés ◽  
P Miheller ◽  
AV Patai
Keyword(s):  
Influencing Factors

Reliability-Based Assessment of the Truck Safe Following Distance Considering Multiple Influencing Factors

CICTP 2017 ◽  
2018 ◽  
Author(s):  
Bowen Dong ◽  
Wenjun Du ◽  
Feng Chen ◽  
Qi Deng ◽  
Xiaodong Pan
Keyword(s):  
Influencing Factors
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