Modeling the impacts of electric bicycle purchase incentive program designs

Bigazzi, Alexander

doi:10.1080/03081060.2021.1956806

Cited by 13 publications

(16 citation statements)

References 23 publications

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“…Its high cost also highlights its importance in electric bicycles. Obviously, the higher the manufacturing cost of the motor with better performance, the more likely to affect the price of the electric bicycle [35,36]. Second, regarding the effect of power of engine (C 5 ) on safety (C 8 ), nowadays, in order to ensure safety, the maximum output power of engine is only 400 watts and the maximum riding speed is limited to 25 km/h, and the motor has a 3-second automatic power supply stop setting to provide safety to Complexity users when the speed exceeds the speed limit, braking situation, short circuit, or malfunction of signal system [36,48].…”

Section: Discussionmentioning

confidence: 99%

“…Electric bicycles are a relatively environmentally friendly means of transportation, especially for short to medium distances, the use of electric bicycles can help reduce traffic congestion [1,5]. Numerous studies have contributed to the electric bicycle purchase intention [35][36][37][38][39][40].…”

Section: Electric Bicycle Purchase Intentionmentioning

confidence: 99%

“…For example, Bigazzi and Berjisian [35] explored the impact of government incentives on electric bike purchase intentions. Considerations include product price, demand, subsidies, and the allowable price elasticity for consumers.…”

Section: Electric Bicycle Purchase Intentionmentioning

confidence: 99%

“…Price (C 1 ) aims to measure the reasonable price of electric bicycles that consumers can accept, and to increase consumers' purchase intention by setting a reasonable selling price [13,35,36]. In addition to price, the battery of an electric bicycle is the main source of power supply for the vehicle, and battery life (C 2 ), battery durability (C 3 ), charging time (C 4 ), and power of engine (C 5 ) are included in the evaluation framework.…”

Section: Proposed Frameworkmentioning

confidence: 99%

“…Safety (C 8 ) aims to measure the safety of road traffic, the lives of riders operating electric bicycles, the availability of adequate safety regulations, manuals, and the riding environment [40]. e last two are government regulations (C 9 ) and government policy (C 10 ) for examining whether the government has adequate regulations to protect the right to purchase electric bicycles and whether the government provides incentives and subsidies to encourage consumers to purchase electric bicycles [35].…”

Section: Proposed Frameworkmentioning

confidence: 99%

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Analysis of Mutual Influence Relationships of Purchase Intention Factors of Electric Bicycles: Application of DEMATEL Taking into Account Information Uncertainty and Expert Confidence

et al. 2022

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As the negative environmental impacts of transportation systems become more severe, governments and environmental groups are seeking more sustainable transportation options, such as replacing fuel-powered vehicles with electric vehicles and expanding public transportation systems to reduce the number of people driving on their own, in order to reduce the environmental impacts of transportation systems. At present, the rapid expansion of public transportation systems is not an easy task and requires a long period of time to plan for expansion and construction, so people are increasingly looking to find means of transportation that meet sustainable conditions as solutions. In this context, electric bicycles are one of the solutions that people can choose, with benefits such as energy saving, carbon reduction, effective air pollution reduction, and simple and labor-saving riding. However, in Taiwan, despite the many benefits of electric bicycles, their popularity is not high. Therefore, this study focuses on the factors that affect the purchase of electric bicycles in Taiwan. The Influential Network Relation Map (INRM) generated by the Z-based Decision-making Trial and Evaluation Laboratory (Z-DEMATEL) technique is used to describe the influence relationships among the factors and to establish the key evaluation criteria of electric bicycle purchase intention. The results indicate that vehicle price, safety, motor performance, battery life, and battery durability are the most important factors in purchasing electric bicycles. Furthermore, the power of motor is considered as the factor that most significantly affects other criteria, while safety and price are most likely to be affected by other criteria. This study has contributed to academia and industry, for the dependency weights of these factors are set to provide a scientific and systematic way to show how consumers think in the decision-making process and to provide more reliable information and management implications for the electric bicycle industry.

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