Electric Bicycle Research Articles

The new service development process of green FinTech innovation: A multi-case study

In light of increasing global challenges like climate change, carbon neutrality, and biodiversity loss, the need for sustainable solutions is essential. Green FinTech innovation, which combines financial resources, services, and technologies, has become a significant area of focus for addressing these issues. However, despite growing interest from various stakeholders, progress towards sustainable development remains slow due to fragmented academic knowledge. This study aims to bridge this gap by offering practical guidelines for those involved in green FinTech innovation. By examining the new service development process, including both the front-end and back-end stages, the study will identify key influencers such as customers, organizations, and partners. Semi-structured interviews will be conducted with three green FinTech case studies in Thailand, specifically focusing on rental electric bike services, energy trading systems, and solar rooftop platforms. The research will investigate the concepts, methods, and critical success factors that drive the innovation processes of these projects through a comparative multi-case study. The findings will reveal different paths for B2B and B2C green FinTech innovation, emphasizing the importance of external factors. Successful innovation requires a thorough understanding of customer behavior, beyond just pro-environmental tendencies. These insights aim to accelerate green FinTech innovation in emerging economies and underscore the need for further quantitative research to validate these findings. This research will provide valuable insights for policymakers, financial institutions, and innovators, supporting the advancement of sustainable development through green FinTech solutions.

A weighted fuzzy approach for the agility of sustainable product development process assessment: A case study in Chinese medium-sized enterprises

The integration of sustainable practices within manufacturing organizations has become a necessity. However, ensuring a competitive edge in the market remains pivotal for the success of these sustainability initiatives. This research introduces an approach to harmonize the influence of sustainability and agility within the product development process, enabling enterprises to pursue sustainable manufacturing while upholding robust market competitiveness. The significance of this study lies in its combined utilization of expert insights and mathematical techniques to gauge the components and sub-components of sustainability and agility, thereby enhancing the precision of assessment outcomes. This accomplishment was achieved through the application of a Weighted Fuzzy Assessment Method (WFAM) for evaluating both product sustainability and agility. Employing the Fuzzy Analytic Hierarchy Process (FAHP), the study assigned weights to elements and sub-elements. Subsequently, employing fuzzy logic based on these derived weights, the study assessed the sustainability and agility scores in the product development process. Demonstrating the effectiveness of this devised methodology, the research employed a multi-functional electric bicycle as a case study. The outcomes highlight the potential the proposed method in attaining the varied objectives of sustainability and agility in product development.

Effectiveness of the Prof. Tito Storybook in Enhancing Student Learning in Indonesian Language and Natural Science for Fifth Grade Elementary School Students

This research addresses the issue of unsuitable children's storybooks influencing elementary students' thinking patterns by mirroring adult behaviors, prompting the development of the modern children's storybook "Prof. Tito: Electric Bicycle Edition" to enhance literacy and science technology education. The specific aim is to evaluate the effectiveness of character-based and science technology-focused storybooks in improving Indonesian and natural sciences learning among fifth-grade students. "Prof. Tito, Electric Bike Edition" explores values like cooperation, mutual assistance, and knowledge of electric bicycles, offering a moral foundation for young readers. The study highlights the storybook's role in fostering empathy and focus, while educating readers about electric bicycles in the context of Indonesian language and science. Through student evaluations, the book's efficacy was tested, showing significant learning improvements. The findings reveal a 13.49% and 12.55% increase in learning outcomes, classifying the storybook as moderately effective in enhancing learning. Overall, the research concludes that the storybook significantly contributes to improving student learning outcomes, representing an original contribution to the field.

EFFORTS OF THE TRANSPORT AND ENERGY SECTORS TOWARD RENEWABLE ENERGY FOR CLIMATE NEUTRALITY

The integration and utilization of renewable energy sources in the energy and transport sectors are the main actions undertaken to attain climate neutrality by 2050. The connection and indication of the relations occurring in these two sectors constitute the novelty of the current research. Key actions include increasing the share of low- and zero-emission transport, such as electric cars, bicycles, trains, and buses; reducing emissions from aviation and shipping; and improving energy efficiency and transport safety by modernizing the vehicle fleet, introducing intelligent transport systems, applying emission and fuel quality standards, and promoting technological and digital innovation. A novel and significant aspect of the research is its comprehensive approach to key economic sectors that exert a profound influence on climate change. Through the conducted studies, it has been demonstrated what essential actions must be undertaken to transition towards a low or zero-emission economy. This paper points to a strong nexus between the transport sector, the energy sector, and climate change, underscoring the imperative for collaborative efforts and strategic initiatives among these sectors to address the pressing challenges associated with achieving climate neutrality.

How electric bikes reduce car use: A dual-mode ownership perspective

Electric bikes (e-bikes) can play a vital role in sustainable transportation and reducing car dependence. However, questions persist regarding the extent to which e-bikes contribute to replacing and complementing car use and other modes, especially from dual-mode ownership (households with both cars and e-bikes) perspective. Utilizing the Household Travel Survey dataset from Jiading, Shanghai, this study reveals that: (1) e-bikes can lead up to a 19% reduction in car mode share in dual-mode ownership households compared to car-only households; (2) e-bikes encourage a greater variety of non-commuting activities compared to car-only households; (3) e-bikes have a minor negative effect on public transport mode share, while e-bikes enhance mobility for older people. Overall, these findings underscore the importance of e-bikes in reducing car dependence and achieving development goals towards sustainable transportation and age-friendly cities.

Feasibility Analysis of Power Generation from Internal Combustion Engine (ICE) Using EDAS Method

The popularity and development of electric motorcycles are exploding. This is merely the beginning of what many predict will be the motorbike industry's fastest-growing sector. Research significance: The next development in motorcycle technology is the electric motorcycle. High-point electric bikes that are lighter, economical, and enjoyable to ride may be easily offered to clients and partners globally by combining the superlative capabilities of a traditional motorbike with the most cutting-edge technologies now accessible. A future era of electric engines and regulators with "ultra-high efficiency, high power-to-weight, and lightweight" has been specifically created to advance a wide range of models. Methodology: Due to the abundance of possibilities offered on the global market, conflicting situations can develop while choosing a certain motorcycle. There may not necessarily be a certain number of options available or there may be multiple alternatives to the original pick. The possibility of not having an acceptable option for the criterion exists as well. “Multiple Criteria Decision Making” is a technique designed for the optimization of problems with an “infinite or finite number of choices” and the MCDM technique “EDAS method” is used to optimize the process in this paper. The rank of “Revolt RV400 is fifth, Joy e-Bike Monster is ninth, Tork Kratos R is fourth, Komaki Ranger is third, Cyborg Bob is sixth, Odysse Evoqis is seventh, Oben Rorr is first, PURE EV eTryst 350 is eight, Pure ecoDryft is second”. The ranking order is “Oben Rorr> Pure ecoDryft> Komaki Ranger> Tork Kratos R> Revolt RV400> Cyborg Bob> Odysse Evoqis> PURE EV eTryst 350”. Depending on EDAS research in this paper, it was discovered that among all sample electric motor vehicles, “Oben Rorr had the best overall performance while PURE EV eTryst 350 had the poorest”.

Application of the EDAS Technique for Selecting the Electric Motor Vehicles

The popularity and development of electric motorcycles are exploding. This is merely the beginning of what many predict will be the motorbike industry's fastest-growing sector.The next development in motorcycle technology is the electric motorcycle. High-point electric bikes that are lighter, economical, and enjoyable to ride may be easily offered to clients and partners globally by combining the superlative capabilities of a traditional motorbike with the most cutting-edge technologies now accessible. A future era of electric engines and regulators with "ultra-high efficiency, high power-to-weight, and lightweight" has been specifically created to advance a wide range of models. Due to the abundance of possibilities offered on the global market, conflicting situations can develop while choosing a certain motorcycle. There may not necessarily be a certain number of options available or there may be multiple alternatives to the original pick. The possibility of not having an acceptable option for the criterion exists as well. “Multiple Criteria Decision Making” is a technique designed for the optimization of problems with an “infinite or finite number of choices” and the MCDM technique “EDAS method” is used to optimize the process in this paper. The rank of “Revolt RV400 is fifth, Joy e-Bike Monster is ninth, Tork Kratos R is fourth, Komaki Ranger is third, Cyborg Bob is sixth, Odysse Evoqis is seventh, Oben Rorr is first, PURE EV eTryst 350 is eight, Pure ecoDryft is second”. The ranking order is “Oben Rorr> Pure ecoDryft> Komaki Ranger> Tork Kratos R> Revolt RV400> Cyborg Bob> Odysse Evoqis> PURE EV eTryst 350”. Depending on EDAS research in this paper, it was discovered that among all sample electric motor vehicles, “Oben Rorr had the best overall performance while PURE EV eTryst 350 had the poorest”.

Development of low-emission public transport as the implementation of the electromobility policy

This paper discusses various aspects of the development of low-emission public transport as the implementation of the electromobility policy. Fossil fuels, the primary source of energy for the transport sector, are harmful to the environment. Ecological transport solutions, such as electric vehicles, bicycles and public transport powered by renewable energy sources, offer a cleaner, more sustainable alternative. The transition from fossil fuels to ecological transport solutions will require significant investment in infrastructure, research and development and public education, but the benefits far outweigh the costs. The topic of electromobility is crucial for environmentally friendly transport. This paper presents philosophical, strategic and legal aspects of electromobility.

Can self-reliant societies be potential adopters of electric bicycles? Examining the role of sociopsychological influences among the university employees in India

Electric bicycles (e-bikes) are gaining popularity globally as green and active modes of transport. Research on e-bike adoption to date has predominantly investigated various extrinsic motivations to use an e-bike, and little is known about the psychological influences. Examining the influence of psychological determinants is crucial to comprehend the unobserved individual and social factors affecting e-bike adoption. This study aims to determine the sociopsychological influences associated with e-bike use among the daily commuters (employees) of two university campuses in India which represent self-reliant societies. The study extends the classic Theory of Planned Behaviour (TPB) framework to account for influences like personal norms, knowledge of e-bikes, and parking anxiety, in addition to fundamental TPB constructs (attitudes, subjective norms, and perceived behavioural control). Results are constructed by a structural equation model (SEM) for a sample of 347 non-users of e-bikes. SEM model indicates that among all TPB constructs, subjective norms are the strongest predictors of intentions to use e-bikes. Both subjective norms and attitudes have a significant positive effect on adoption intentions, whereas perceived behavioural control has a significant negative effect. Personal norms had significant indirect positive effects on e-bike use intentions with fundamental TPB constructs as mediators. Interestingly, parking anxiety (anxiety from missing the car parking spaces) positively, and knowledge of e-bikes negatively influence the e-bike adoption intentions. Further, comparison by psychological influences reveals that a significant difference exists between the perceptions of the two university commuters towards e-bike use, possibly due to the distinct terrain and climate characteristics of the universities. The study findings have implications for designing effective e-bike interventions and awareness programs seeking to promote e-bike adoption, particularly in self-reliant communities.

Riding Toward Danger: A Scoping Review of Burns Associated With Personal Mobility Devices, Including Electric Bikes (E-Bikes) and Electric Scooters (E-Scooters).

Burn injuries related to lithium-ion batteries from personal mobility devices, such as electric bikes and electric scooters, have emerged as a global concern. By examining the literature, this study aims to provide an overview of the demographics, patterns, and outcomes of personal mobility device-associated burns. A Singaporean cohort revealed burns resulting predominantly from fires occurring due to the combustion of unattended personal mobility device batteries during charging. In contrast, an Israeli cohort showed a higher total body surface area and highlighted the vulnerability of limbs to burn injuries in such incidents. A Beijing cohort, consisting of pediatric patients indicated potential child safety concerns regarding personal mobility device usage. Finally, a Shanghai cohort demonstrated the potential dangers of personal mobility device battery chargers. The observed differences between those experiencing burn injuries and the broader population of personal mobility device riders in terms of age and gender suggest that younger males may be at higher risk, perhaps due to risky practices such as leaving personal mobility devices unattended while charging. This review emphasizes the need for safety education, adherence to regulations, and responsible consumer choices to mitigate burn injuries. Recommendations include promoting child safety measures, using certified personal mobility devices, and cautious handling of DIY conversion kits. Further large-scale studies are essential to gain comprehensive insights and develop effective safety strategies to protect personal mobility device riders from burn injuries.

Off-Grid Electric Vehicle Charging Station with Integrated Local Server OCPP Protocol as a Management System

Abstract Electric vehicles are widely regarded as pivotal in driving the sustainability of transportation networks forward, thanks to their capacity to diminish carbon emissions, enhance air quality, and bolster the robustness of electricity grids. The accessibility of charging infrastructure and the subjective norms that endorse electric mobility actively shape the electric vehicles acceptance. In this study, Our main goal is to provide off-grid electric vehicle charging infrastructures and the data communication protocols that connect to servers. We analyze the specifications of the OCPP (Open Charge Point Protocol) with an emphasis on its applicabillity for electric charging stations for vehicles. Our research concludes that off-grid electric vehicle charging systems can be effectively applied to small electric vehicles such as electric motorcycles, scooters, and bicycles. The OCPP data communication protocol can also support interactions between small electric vehicle charging stations and central server management systems (CSMS). Furthermore, we tested the electric vehicle charging process for a duration of two hours, and the charging station consistently produced stable voltage, current, and power output, matching the inverter outputs and fulfilling the specifications required by electric vehicle charging adapters. Analysis of throughput data indicates a positive correlation between the number of operational ports at a charging station and the volume of data processed by the server. However, beyond a certain threshold a decline in data transactions was observed, attributable to data loss.

Electric bicycles for transportation of the physically disabled in indonesia

Electric bicycles for transportation of the physically disabled in indonesia

An electric bicycle tracking algorithm for improved traffic management

This paper proposes an efficient electric bicycle tracking algorithm, EBTrack, utilizing the high-precision and lightweight YOLOv7 as the target detector to enhance the efficiency of illegal detection and recognition of electric bicycles. The EBTrack effectively captures the position and trajectory of electric bicycles in complex traffic monitoring scenarios. Firstly, we introduce the feature extraction network, ResNetEB, specifically designed for feature re-identification of electric bicycles. To maintain real-time performance, feature extraction is performed only when generating new object IDs, minimizing the impact on processing speed. Secondly, for accurate target trajectory prediction, we incorporate an adaptive modulated noise scale Kalman filter. Additionally, considering the uncertainty of electric bicycle entry directions in traffic monitoring scenarios, we design a specialized matching mechanism to reduce frequent ID switching. Finally, to validate the algorithm's effectiveness, we have collected diverse video image data of electric bicycle and urban road traffic in Hefei, Anhui Province, encompassing different perspectives, time periods, and weather conditions. We have trained the proposed detector and have evaluated its tracking performance on this comprehensive dataset. Experimental results demonstrate that EBTrack achieves impressive accuracy, with 89.8 % MOTA (Multiple Object Tracking Accuracy) and 94.2 % IDF1 (ID F1-Score). Furthermore, the algorithm effectively reduces ID switching, significantly improving tracking stability and continuity.

Aging and Small-sized Particles Release Characteristics of Tire Microplastics in Various Environmental Media

In recent years, research on microplastics has mostly focused on thermoplastic materials, and there is a lack of research on the pollution status and environmental behavior of tire microplastics, a type of rubber elastomers. In order to investigate the aging and small-sized particles release characteristics of tire microplastics in various environmental media, the aging process of two different tire microplastics, one for cars and the other for electric bicycles, was simulated in dry and aquatic environments under laboratory conditions. The results showed that the tire microplastics would be aged after 30 d of UV illumination, which was manifested by the roughness of the surface and the appearance of cracks and flaking. The Fourier infrared spectra showed that the carbonyl index of the surface also increased. In addition, tire microplastics released a large number of small sub-micron particles under the influence of UV illumination and hydrodynamic action, and the number of particles released from car tire microplastics in aquatic environments reached 694.8 million particles per milliliter of solution at 30 d of the UV light condition, among which 694.6 million particles with a particle size of less than 1 μm were released, which was approximately 100 times of that in the dark condition. The study showed that tire microplastics in aquatic environments were more susceptible to aging and released more small particles under light conditions and that car tire microplastics released more small particles than electric bicycle tire microplastics, posing ecological and environmental risks.

User acceptance of smart e-bikes: What are the influential factors? A cross-country comparison of five European countries

Electric bicycles (e-bikes) have been promoted in many countries to replace motorised transport modes and mitigate transport externalities such as traffic congestion and emissions. However, there are also concerns about crash risks and crash severity for e-bike users. Leveraging new technologies could help improve e-bike safety, amongst other safety enhancing measures, but there is little knowledge of the users’ acceptance of such technologies. This study aims to explore the user acceptance of e-bikes (pedelec with power assistance up to 25 km/h or speed-pedelec with assistance up to 45 km/h) with active road safety assistance (in short: Smart e-bikes) to improve cycling safety by adopting the extended unified theory of acceptance and use of technology 2 (UTAUT2). A cross-country survey was administered in five European countries-Austria, Belgium, Germany, Greece, and the Netherlands, each differing in population, cycling culture and e-bike market sizes. A sample of 1,589 respondents, including e-bike owners and people interested in buying an e-bike, was analysed using a structural equation model (SEM). Conclusions indicate that performance expectancy, hedonic motivation and perceived safety were the strongest constructs of behavioural intention to use Smart e-bikes in the aggregated sample. All constructs vary significantly across the five countries, which can partly be explained by socio-demographic factors. Geographical factors such as city size, low availability of cycle paths and population density do not explain differences in user acceptance.

Multi-objective optimization and scheduling research on electric bicycle charging and discharging in distribution networks

Abstract With the continuous development of urbanization, the rapid growth of electric bicycles has become a prominent trend. The number of battery-swapping stations for convenient battery replacement has also increased. The large-scale and unregulated connection of electric bicycles and battery-swapping stations to the power grid can significantly impact the distribution network, leading to localized overloads and affecting grid stability. Therefore, this paper proposes a multi-objective optimization scheduling strategy for electric bicycle charging and dis-charging based on both the transmission and distribution systems. Firstly, in the transmission system, the objective is to reduce the operating costs of generators and user charging costs. Sub-sequently, in the distribution system, the goal is to minimize network losses, considering system constraints and the spatial migration characteristics of electric bicycles. The study establishes a multi-objective optimization problem. Simulation analyses were conducted on the power system models based on a standard 10-machine transmission network and an IEEE 33-node distribution network to verify the effectiveness of the proposed multi-objective optimization scheduling strategy.

Shared e-bike operational planning under different relocation schemes: A smart campus case

Major urban centers are grappling with challenges related to urban mobility and elevated greenhouse gas emissions. Shared electric bicycles (e-bikes) present a potential solution to these issues. Nonetheless, many ventures of this nature have previously faltered due to high operational costs. This paper aims to assess the optimal decisions for a shared e-bike company serving a university community. To this end, we consider two relocation strategies: one led by the operator and another by the user. Additionally, we examine elements inherent to a smart campus, such as photovoltaic systems and advanced energy tariffs, like time-of-use and real-time tariffs. We modeled the optimization problem as a mixed-integer nonlinear program, further linearized to a mixed-integer linear program using the Big-M method. Our case study focuses on the academic community at Universidade Federal Fluminense in Niterói, Brazil. Findings suggest a trade-off between operator and user relocation tariffs. They also underscore an enhancement in meeting demand, from 51 % to 69 %, when both mechanisms are employed. Lastly, the smart campus influences the operator's decisions, highlighting the importance of considering the interplay between energy and rental tariffs during planning.

Association between the Analytical Technique and Finite Element Method for designing SPMSMs with Inner Rotor Type for Electric Vehicle Applications

This paper focuses on computing the electromagnetic parameters of inner rotor-configuration Surface-mounted Permanent Magnet Synchronous Motors (SPMSMs) via the combination of analytical and finite element methods with an application to electric bicycles. The analytical method is, first, developed in detail to calculate the essential parameters of the inner rotor-configuration SPMSM. Then, a Finite Element Method (FEM) is introduced to verify the analytical parameters found. Further, a simulation of magnetic flux density, torque, cogging torque, torque ripple, back Electromagnetic Force (EMF), linkage flux, and temperature is performed. The end result is validated with a real 2.2 kW inner rotor-configuration SPMSM.

E-Bicycle for Food Delivery

Abstract: The rise of urban food delivery services has led to an increased demand for efficient and environmentally sustainable transportation methods. This study explores the implementation of sustainable electric bicycles (e-bikes) for food delivery, examining their potential to reduce carbon emissions, traffic congestion, and operational costs. E-bikes, powered by rechargeable batteries, offer a viable alternative to traditional delivery vehicles, particularly in densely populated urban areas. Key factors influencing the adoption of e-bikes include battery life, charging infrastructure, load capacity, and regulatory support. The research also highlights successful case studies from various cities, demonstrating the environmental and economic benefits of integrating e-bikes into delivery fleets. The findings suggest that with proper investment and supportive policies, ebikes can significantly contribute to more sustainable urban logistics, promoting a greener and more efficient food delivery ecosystem.

Reduced travel emissions through a carbon calculator with accessible environmental data: a case study in Madison, Wisconsin

The echoing environmental toll of the transportation system calls for a drastic need to move beyond carbon-intensive modes of transportation into more sustainable ones. With the rise of emerging modes of transportation, this transition is more promising than ever. In this work, we take a travel-centric approach to promoting and accelerating the transition away from carbon-intensive modes of transportation by informing travelers about their emissions. A carbon calculator—as a function of trip distance and Well-to-Wheel (WTW) Life Cycle Assessment (LCA)—was developed and embedded on a website platform. Users would input their trip distance, and the calculator outputs the carbon footprint (CO2e) of the trip if it was to be done through seven different modes: car (gasoline), car (hybrid), car (electric), bus, electric bike, bike, and walking. In addition, the calculator outputs the equivalent of CO2e as cheeseburgers for a more intuitive display. The overall goal of this work is to understand how travelers respond to being exposed to carbon footprint information. This serves as a step forward in realizing a sustainable transportation system. We make available the calculator online through this link. Study results indicated that trip distance, environmental awareness, age, income, and mode of transportation used were the most influential features in predicting modal shifts. Importantly, the majority of modal shifts resulted in reduced CO2e emissions.