This study examines the factors that influence individual intentions towards the adoption of full electric vehicles. A sample including 308 respondents was collected on the streets of Macau. The collected data were analysed by confirmatory factor analysis and structural equation modelling. The results demonstrate that environmental concerns and the perception of environmental policy are antecedent factors of the perception of full electric vehicles, which influences the behavioural intention to purchase full electric vehicles. This study also finds that the perception of economic benefit is one of the key factors influencing the adoption of full electric vehicles. Vehicle operators seek economic benefits from future long-term fuel savings, high energy efficiency, and cheap electricity. Thus, a government striving to promote low-carbon transportation needs to scale up its efforts to enhance citizens' environmental concerns and to establish proper environmental policy as well as to provide long-term financial and strategic support for electric vehicles.

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SUMMARY This paper presents an experimental investigation of a ‘smart’ cable‐stayed bridge model that uses the mid‐span strain as feedback, and a computer‐controlled direct current motor as an actuator. When a load is moved on the ‘smart’ bridge, the deflection of the bridge can be controlled within a permissible range by means of the motor contracting or releasing the middle cable. An adaptive, multilevel, control system is implemented to control the bridge, and a number of static and dynamic tests are carried out. The results illustrate that the proposed adaptive control performance under various moving loads can be achieved within a prescribed motion range and limited control motor speed. Copyright © 2012 John Wiley & Sons, Ltd.