•Tertiary students’ intention to use e-scooter sharing are investigated.•We conduct an empirical case study using survey data collected in Taiwan.•Environmental values, Perceived compatibility, and ...Awareness-knowledge considered.•Differences exist according to mode usage and academic major.•Positive/negative intentions are formed in different ways across Stages of Change.
Micro-mobility may alleviate a number of challenges facing big cities today, and offer a pathway toward more sustainable urban transportation. This research investigates what factors influence university students’ intention to use an electric scooter sharing service. A theoretical framework adapting the theory of planned behaviour was used. Survey responses from 471 university students in Taiwan were collected. Data were analysed using factor analysis and structural equation modelling. Respondents with different levels of usage intention and in different stages of behavioural change display distinct reasoning patterns. Lack of perceived compatibility with personal values, mobility needs and life-style particularly drives students with low usage intention and pre-contemplators, who show signs of “green hypocrisy”. Awareness-knowledge about the sharing system and environmental values influence the formation of usage intention in indirect ways. This study is intended to be a reference for subsequent conceptual and empirical work on e-scooter sharing in particular, and shared mobility with other types of powered two-wheelers.
In many countries, urbanization has seen a rapid increase in demand for mobility in cities. Much of this demand is met by private vehicles, of which conventionally powered two-wheelers significantly ...contribute to air pollution. The consumer adoption of alternative fuel powered two-wheelers has not been the subject of as much study as passenger cars. In particular, studies of consumer adoption of electric motorcycles, which are a rapidly emerging and an environmentally more sustainable alternative to conventional powered two-wheelers, are few. This study explores the extent of this research gap. The development of motorcycles is analyzed with a focus on Asia, which accounts for 80% of the global fleet. Powered two-wheelers are categorized in terms of regulatory, fuel and technical aspects. Studies of the adoption of electric motorcycles are reviewed. Operational models and deployment in ownership-based or access-based economical models are discussed. An overview of the research methods that are used in existing studies of electric motorcycles is given and the results and their implications are discussed. These findings provide a useful insight for future research, for transportation managers and for policymakers.
•We investigate people’s intention to use the shared parking.•Consider both a parking space provider’s and a demander’s perspectives.•We conducted an empirical case study using survey data collected ...in Taipei City.•Perceived behavioral control is the most influential factor for demanders.•Subjective norms clearly influence suppliers’ intention to use.
Shared parking has recently emerged as an effective means of parking management in urban areas. The success of implementing shared parking necessitates understanding the factors which affect people’s intention to use shared parking. In this study, we used the Combined Technology Acceptance Model and the Theory of Planned Behavior (C-TAM-TPB) as a theoretical framework to investigate the intention to use shared parking from the perspective of parking space suppliers and parking space demanders (drivers). Hypothesis testing using the partial least-square (PLS) method of structural equation modeling (SEM) was performed using an empirical assessment of the shared parking schemes in Taipei City. Our results indicate that perceived control and self-efficacy pertaining to participation in shared parking were the most influential factors for parking space demanders, whereas the influence of significant others was the most influential factor for parking suppliers. We also found that the attitude of potential users toward shared parking can strongly affect their intention to participate, whether as a demander or a supplier. Our findings could help to identify the intrinsic factors affecting one’s intention to participate in shared parking schemes. Our findings could also help government agencies and system operators to promote the notion of shared parking to the public.
•Customer intentions to use home-refill delivery service are examined.•The empirical study uses survey data collected from Indonesian consumers.•A strong relationship between attitudes and intention ...adoption of home-refill delivery service is found.•Environmental concern relates significantly to green perceived value, ease of use and trust.•Heterogeneity exists in model relationships across levels of trust and stages of change.
Plastic waste from fast-moving consumer goods packaging has become a global concern. One solution is home-refill delivery service (HRDS) that offer the distribution of consumable products, including to environmentally conscious customers. This research thus employs an extended Technology Acceptance Model (TAM) with environmental concerns, green perceived value, and trust to explore the factors involved in the adoption intentions of HRDS among Indonesian consumers. From hypotheses empirically evaluated using partial least square structural equation modelling and multi-group analysis, we show a strong relationship between attitudes and adoption intentions of HRDS. Environmental concern relates significantly to green perceived value, perceived ease of use, and trust in forming positive attitudes toward HRDS. We further identify heterogeneity in relationships across socio-demographic characteristics, levels of trust, and stages of behavioral change. The findings herein provide useful insights into zero waste delivery services for consumer goods and empirical support for the important roles of consumer trust and environmental concern when adopting such services.
•We examine consumer intentions to switch from fossil fuel scooters to electric scooter-style motorcycles.•We conceptualize a framework of behavioral reasoning theory.•We include context-specific ...reasons and environmental concern (egoistic, altruistic, biospheric).•We find concerns for the global effects of environmental damage instrumental.•Biospheric concern is most prominent and relates negatively to reasons against the switch.
Despite the growing market share of electric scooter-style motorcycles (e-scooters), only limited insight into the role of environmental concern with respect to their adoption is available. The purpose of this study was to investigate the psychological and contextual factors that associate with a switch from fossil fuel scooters to e-scooters. To model these factors, we conducted two studies in Taiwan. In Study 1, we elicited context-specific reasons for and against purchasing an e-scooter in a series of semi-structured interviews. In Study 2, we analyzed data from a survey among consumers (N = 320) using structural equation modelling. We consider the most important reasons from Study 1 together with environmental concerns (egoistic, altruistic, biospheric) in their relationship with intentions to switch to an e-scooter using the framework of Behavioral Reasoning Theory (BRT). In doing so, we provide unique insights for marketers and policymakers who seek to encourage the switch to this more sustainable form of mobility. We found environmental concerns among users of fossil-fueled scooters to be associated with attitude toward as well as reasons for and against switching to an e-scooter. But only a biospheric concern appeared to relate to both reason types and attitude, whereas egoistic and altruistic concerns only associated with reasons for the switch. The study also provides researchers and marketers in the e-scooter industry with a framework for understanding the role of environmental concern and contextual factors on purchase intention for a sustainable mobility product.
Electric velomobility (e-velomobility) encompasses human movement using electric-assisted bicycles (pedelecs, or e-bikes), and the associated practices, systems and technologies. It is emerging as an ...active mode in developed economies. Electric bicycle sharing (EBS) schemes can attain higher per-vehicle use time and provide more equitable access than personal ownership. University campuses are ideal testing beds for such systems as young and lower-income groups are present there. The goal of this study is to understand the segmentation of the market for a hypothetical electric bicycle sharing scheme located in a multi-campus university. A cross-sectional survey was conducted at a multi-campus university in South East Queensland, Australia. Motives, reasons, and intention of students and staff for potential future use of a potential campus-based EBS scheme were revealed. Three distinctive potential user groups with varied modal, socio-demographic, and psychological characteristics emerged in the clustering analysis, namely: “multimodal enthusiasts” (28%), “car-loving pragmatics” (46%), and “car-loving skeptics” (26%). We identify the key market segments and potential adopters' demographics (residential location, country of origin, income, and academic major). Our results indicate that respondents who are more multimodal, especially those cycling often and with shared mobility experiences, are more positive about using e-bike sharing. Largely mono-modal car users tend to be more negative toward the scheme. International students also tend to be more positive. The individual preferences and attitudes toward campus-based shared e-velomobility, as revealed in this paper, provide important insights for planners, policymakers and sharing operators seeking to launch or improve uptake of such schemes.
•Survey of university staff and students in Brisbane and Gold Coast, Australia.•Clustering shows three distinct segments of potential electric bike share (EBS) adopters.•Largest “Car-lover” segment skeptical toward EBS or with pragmatic reasons against.•High multimodality and non-local upbringing made more enthusiastic toward EBS.•Residential location, field of study, and income also affect EBS adoption.
Bike-sharing systems are gaining in popularity with a focus on sustainability in transportation. This study extends the concept of green product marketing to green transportation marketing. This ...study uses four-phase loyalty theory as a framework to examine the users' green loyalty toward shared bicycles. The relationships among four concepts – green perceived value, green trust, green use intention and green loyalty are proposed in the conceptual model. Hypotheses testing is conducted using the empirical assessment of the bike sharing system in Taipei City. Our results show that green perceived value and green trust of users positively relate to green use intention and green loyalty. Further, we also demonstrate green perceived value indirectly affects the green loyalty via green trust and green use intention. Our findings suggest authorities may promote bike sharing by enhancing user perceptions of the system's green value, increase trust in this form of green transportation, and thus foster higher levels of loyalty resulting in continued use of shared bicycles.
•Extend the concept of green product marketing to green transportation marketing.•Use four-phase loyalty theory to examine users' green loyalty toward shared bikes.•Conduct hypotheses tests using the empirical assessment of bike sharing in Taipei.•Promote bike sharing by enhancing user perceptions of the system's green value.
The study deals with the fleet allocation problem in public electric vehicle (EV) systems with consideration of demand uncertainty. The problem aims to determine the optimal number of EVs deployed at ...each station and the objective is to minimize the total system cost. We propose a genetic algorithm (GA) with an event-based simulator to solve this problem. To consider demand uncertainty, an event-based simulator is developed and embedded in the GA. This study generates and solves a number of instances based on the historical data obtained from an EV-Sharing system operator in Sun Moon Lake national park in Taiwan. We compare the solutions of the GA with those of an enumeration method. The results show that the GA is able to obtain the optimal solution for more than 70% of the instances. Even when the GA fails to find the optimum, the gaps between optimal solutions and heuristic solutions are less than 0.1%. Moreover, all solutions are found within a reasonable amount of time. The proposed solution approach provides decision support for the fleet allocation in EV-sharing systems.
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