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Beyond private-sphere pro-environmental action: Explaining shared mobility using the Theory of Planned Behavior and solidarity-oriented variables

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Prior research has focused on individual difference variables that predict various prosocial behaviors. This work, however, has neglected to consider the underlying commonalities between the different domains behavior can be performed. In line with other authors we propose that individual difference factors can indicate one’s propensity toward acting prosocially across domains, and that prosocial behaviors also include behaviors that support behavior for the common good. We argue that in order for one’s prosocial propensity to be actualized in a particular domain, a motivator in the form of connectedness to the domain is necessary. This paper examines such a model exemplified in the ecological domain by explaining pro-environmental actions. Through two studies (total N = 760) we provide evidence for a mediation model whereby connectedness to nature mediates the positive relation between prosocial propensity and pro-environmental behavior. Prosocial propensity was operationalized as altruism (studies 1 and 2) and honesty-humility (study 2). Further, study 1 also showed a comparison between participants indicating membership in environmental and humanitarian organizations and non-members. This indicated that prosocial propensity was higher in environmentalists and humanitarians compared to non-members, while connectedness to nature and pro-environmental behaviors were higher only in environmental organization members. These studies provide evidence for the premise of a prosocial propensity being actualized in the ecological domain via connectedness to that domain.
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The present study aimed to identify psychological barriers which potentially prevent individuals from implementing collaborative car use in their every-day mobility behaviour. We suggested a model consisting of four psychological barriers: Autonomy Loss, Privacy Invasion, Interpersonal Distrust, and Data Misuse. Perceived Financial Benefit was included as a main incentive for collaborative car use. Using two samples, a community (N = 176) and a student sample (N = 265), three forms of peer-to-peer collaborative car use were examined: lending your own car to another private person (Lending To), renting a car from another private person (Renting From) and sharing rides with others (Ridesharing). For all three forms, a standardised questionnaire was developed which included the psychological barriers, self-reported collaborative car use intention and behaviour, and evaluations of scenarios. The results showed that different barriers predicted specific forms of collaborative car use: Autonomy Loss was connected negatively with Ridesharing and Privacy Invasion predicted Lending To negatively. Data Misuse was related negatively with Renting From, when the renting was arranged via internet. Interpersonal Distrust showed no predictive value for collaborative car use. Perceived Financial Benefit was a consistent incentive for all forms of collaborative car use. Overall, the results confirm the relevance of psychological barriers for collaborative car use. Practical implications to overcome the psychological barriers are discussed.
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Young people will experience stronger consequences of climate change in their future adult lives than older people are facing today. Against this background, large demonstrations and school strikes for climate protection started all over the globe, called the Fridays For Future (FFF) movement. Drawing on the social identity model of pro-environmental action (SIMPEA) and theories on pro-environmental actions of children and adolescents, we examined psychological drivers of pro-environmental activism in the FFF movement. Young people recruited during a FFF demonstration in a German city (N=144, 16-25 years old) and from all over Germany recruited through an online panel (N=418, 13-25 years old) participated in our online survey study. A comparison of these samples and a regression analysis with the joint sample both revealed that perceiving friends participating in the movement, identification with others engaging in climate protection, and personal norms in the form of a felt obligation based on values were most strongly related to their participation in FFF protests. We discuss theoretical implications of our findings as well as practical implications for interventions to encourage young people’s pro-environmental engagement.
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Human-induced climate change poses an unprecedented global threat. Researchers agree that dealing with climate change requires international collective action and widespread social transformation. This study integrates insights from the Social Identity Model of Collective Action (SIMCA) and the Encapsulated Model of Social Identity in Collective Action (EMSICA) to explain participation in the environmental movement, Extinction Rebellion (XR). Structural equation models of data from a survey of 203 current or potential XR activists supported two identity-based pathways to collective action behavior and future intentions: moral convictions → anger → XR identification → collective action and global identification → participative efficacy → XR identification → collective action. Perceived group efficacy predicted collective action intentions but not behavior. Fear, guilt/shame, and hope did not significantly predict collective action behavior or intentions. We discuss the interplay of personal and social identity processes underlying climate change activism, as well as the need for longitudinal and experimental studies to disentangle causal relations. We propose that environmental campaign groups could foster group identification and thence collective action by communicating moral outrage about climate change, together with the potential efficacy of individuals’ actions toward achieving the group’s goals.
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Widening income and knowledge inqualities have led to growing expectations for universities to integrate social innovation in their core missions as a response to societal problems.This systematic review of literatureprovides an overview of the state-of-the-art of knowledge on the role of the university in enabling social innovation through its missions of teaching, research and third mission. It also identifies knowledge gaps in the field. A bibliometric approachwas usedto identify and analyze books, journal articles and reports examining factors drivingsocial innovation activities at universities, organizational and insitutional change to accommodate such activities as well as their impact.The review revealsthatthe literature on university engagementin socially-oriented activities as part of the third mission of the university is conceptually well developed and a growing field of inquiry. It alsopoints togaps in the knowledge base; relatively few studiesaddressissues related to institutional change and incentive structures that influences the abilityof universities to engage in social innovation. Likewise, impact studies on social innovation activities at universities are scarce.Further research that builds an impact measurement framework wouldsupport the process of integrating social innovation activitiesin the three missions of the university.
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This paper has two objectives. First, the paper aims to advance knowledge on factors that lead to the choice of car sharing, by proposing, for the first time a different perspective based upon the attitude towards the use of private car. Second, the study helps to understand the connection between the rate of penetration of car sharing services and the attitude towards the use of the private car, analysing also the socio-demographic influences on car-sharing behaviour. The paper draws on the findings from a telephone-structured questionnaire we carried out in this under-explored market area in four urban metropolitan cities in Italy (Rome, Milan, Turin and Genoa). For this purpose, we firstly made an exploratory factor analysis to determine the key dimensions of private car behaviour. We then performed a logistic regression model in order to analyse which factors may affect the dependent variable.
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Mobility as a Service (MaaS) is an attempt to overcome market segmentation by offering transport services tailored to the individual traveler's needs. An alternative to prior investment into single mobility tools, it may allow less biased mode choice decisions. Such a setting favors shared modes, where fixed costs can be apportioned among a large number of users. In turn, car-sharing, bike-sharing or ride-hailing may themselves become efficient alternatives to public transport. Although early field studies confirm the expected changes away from private car use and towards public or shared modes, impacts are yet to be studied for larger transport systems. This research conducts a first joint simulation of car-sharing, bike-sharing and ride-hailing for a city-scale transport system using MATSim. Results show that in Zurich, through less biased mode choice decisions alone, transport-related energy consumption can be reduced by 25%. In addition, introduction of car-sharing and bike-sharing schemes may increase transport system energy efficiency by up to 7%, whereas the impact of ride-hailing appears less positive. Efficiency gains may be higher if shared modes were used as a substitute for public transport in lower-density areas. In summary, a MaaS scheme with shared mobility may allow to slightly increase system efficiency (travel times & cost), while substantially reducing energy consumption.
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Free-floating car sharing allows customers to rent a shared car on a per-minute rate of use, with liberty of withdrawal and return. The present study aims to enhance the knowledge of motives for re-use of free-floating car sharing through the theory of planned behavior. A mixed-method research approach was adopted (integration of qualitative and quantitative data collection) to support the proposed hypothesis. The relationships among attitude, subjective norm, and perceived behavioral control, which influence the re-use intention, were tested through structural equation modeling. Our findings showed that economic, environmental, and social benefits indicate the attitude toward the free-floating car sharing and that attitude, perceived behavioral control, and subjective norm have a significant influence on the future intention to re-use the service. Our results also provide practical implications for operators to improve the quality of their offerings.
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Peer-to-peer (P2P) carsharing is a system where car owners rent their vehicle out to other individuals, usually through a facilitating company. One public policy objective of carsharing is to reduce vehicle miles travelled (VMT), which happens as members (renters) reduce car ownership. With a P2P system, VMT reductions could also occur if vehicle owners leave their car to be rented when they would normally drive. This paper assesses how participation in P2P carsharing affects the driving behavior of participating car owners. Data are from 235 car owners in Portland, Oregon who enrolled in a P2P program. The analysis is based on surveys, vehicle use data collected via in-vehicle GPS, and in-depth interviews. Overall, vehicle owners made very few changes to their driving behavior according to the GPS data, with average vehicle use increasing slightly. However, a subset of owners (39%) did decrease their driving by 10% or more one year after the baseline. Factors associated with this reduction in use included higher baseline vehicle use, higher rental activity, income constraints, and more flexibility in daily travel. In addition, some owners appear to use P2P as a catalyst to change travel behavior, including increased use of other modes.
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The negative impact of motorized private mobility on the environment can be decreased successfully by encouraging more people to carpool. From a psychological perspective, only little is known about the determinants of carpooling. Therefore, this study investigated car- pooling behavior based on a theoretical background that integrates (1) the theory of planned behavior, (2) the norm activation model, and (3) dispositional trust. Additionally, we studied carpooling from two separate perspectives: Passengers sharing rides, and the drivers offering rides. We conducted a survey with a representative sample of 342 participants in Switzerland. The results showed that for both, passengers and dri- vers, normative aspects such as descriptive and personal norms, in combination with per- ceived behavioral control predicted carpooling intention. Attitude toward carpooling behavior, however, did not have any predictive power regarding carpooling intention, nei- ther for passengers nor drivers. Dispositional trust displayed an indirect effect on intention to carpool as a passenger or driver via perceived behavioral control. Based on these results, we discuss practical implications for designing measures to promote carpooling success- fully in the future.
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Contemporary e-commerce platforms enable the exchange of idle resources among private individuals directly from peer to peer. The success of peer-to-peer sharing platforms largely depends on the capability of platform providers to understand the users' motives for engagement. To investigate the relative importance of consumer motives for and against peer-to-peer sharing, we develop a theoretical model based on a comprehensive set of potential consumer motives. We validate our model by means of a survey among 745 participants. Our findings suggest financial benefits, trust in other users, modern lifestyle, effort expectancy, and ecological sustainability as the five most important drivers and prerequisites of platform usage intentions. Based on our findings, we suggest directions for future research on peer-based sharing and discuss implications for both theory and practice.
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Earlier research has yielded contradictory results as to the main drivers of environmentally significant behavior. Intent-oriented research has stressed the importance of motivational aspects, while impact-oriented research has drawn attention to people’s socioeconomic status. In this study, we investigated the diverging role of a pro-environmental stance under these two research perspectives. Data from a German survey (N = 1,012) enabled assessment of per capita energy use, and individual carbon footprints (impact-related measures), pro-environmental behavior (an intent-related measure), and behavior indicators varying in environmental impact and intent. Regression analyses revealed people’s environmental self-identity to be the main predictor of pro-environmental behavior; however, environmental self-identity played an ambiguous role in predicting actual environmental impacts. Instead, environmental impacts were best predicted by people’s income level. Our results show that individuals with high pro-environmental self-identity intend to behave in an ecologically responsible way, but they typically emphasize actions that have relatively small ecological benefits.
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Motorized individual transport affects our urban lives negatively regarding its environmental, social and economic aspects. To resolve mobility-related issues significantly and in the long term, all of the relevant influences on individual mobility behaviors in an urban environment must be detected. The aim of this paper is therefore to analyze psychological and environmental-external factors hypothesized to influence sustainable mobility intentions, as well as their consequent behaviors. On the theoretical basis of an extended version of the ‘theory of planned behavior’ (Ajzen, 1991), a multi-methods approach, using person-based GPS tracking, questioning and an interactive online evaluation (prompted recall survey) are applied (N = 73). Sixty percent of the variance of sustainable mobility behavior could be explained by our structural equation model. The results of our analysis confirmed significant effects of both intrinsic and external determinants. Municipalities, operators of public transport systems and even citizens themselves must pay particular attention to external costs, the habitual usage of sustainable modes of transportation and the difficulties perceived to be associated with sustainable mobility to support it thoroughly.
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Shared mobility-the shared use of a motor vehicle, bicycle, or other mode-enables travellers to gain short-term access to transportation modes on an as-needed basis. The term 'shared mobility' includes the modes of carsharing, personal vehicle sharing (peer-to-peer carsharing and fractional ownership), bikesharing, scooter sharing, traditional ridesharing, transportation network companies (or ridesourcing), and e-Hail (taxis). It can also include fl exible transit services, including microtransit, which supplement fi xed-route bus and rail services. Shared mobility has proliferated in global cities not only as an innovative transportation mode enhancing urban mobility but also as a potential solution to address fi rst-and last-mile connectivity with public transit. It can extend the catchment area of public transportation, potentially playing a pivotal role in bridging gaps in the existing transportation network and encouraging multimodality for fi rst-and last-mile trips rather than driving alone. While public transit is often constrained by fi xed routes, driver availability, and vehicle scheduling, shared mobility's 'on-demand' access provides the fl exibility that travellers need to access or egress from a bus or rail 'trunk line'. Moreover, shared mobility provides an alternative to costly feeder bus services and land-intensive parking infrastructure. This paper discusses the history of shared mobility within the context of the urban transportation landscape, fi rst in Europe and Asia, and more recently in the Americas, with a specifi c focus on fi rst-and lastmile connections to public transit. The authors discuss the known impacts of shared mobility modes-carsharing, bikesharing, and ridesourcing-on reducing vehiclemiles/ vehicle-kilometres travelled (VMT/VKT), greenhouse gas (GHG) emissions, and modal splits with public transit. The future of shared mobility in the urban transportation landscape is discussed, as mobile technology and public policy continue to evolve to integrate shared mobility with public transit and future automated vehicles.