Do low-carbon rewards incentivize people to ridesplitting? Evidence from structural analysis

Wang, Lei; Li, Wenxiang; Weng, Jinxian; Zhang, Dong; Ma, Wanjing

doi:10.1007/s11116-022-10302-y

Cited by 6 publications

(4 citation statements)

References 53 publications

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“…The above findings are comparable with the results of existing studies. For example, Wang et al [7] used the SEM to examine the impact of carbon credits and monetary rewards on people s willingness to adopt ridesplitting. Their results also indicate that SN and PBC significantly influence ridesplitting intentions.…”

Section: Discussion On the Influence Of A Carbon Credit Schemementioning

confidence: 99%

“…In recent years, on-demand transportation services provided by transportation network companies (TNCs) have gained popularity among travelers [6]. Among these services, ridesplitting is a kind of shared ridesourcing service on a TNC platform, distinguishing it from conventional carpooling or ridesharing apps [7]. According to Shaheen et al: "Ridesplitting is a form of ridesourcing where riders with similar origins and destinations are matched to the same ridesourcing driver and vehicle in real-time, and the ride and costs are split among users" [8,9].…”

Section: Introductionmentioning

confidence: 99%

“…Storch et al [33] found that even small financial incentives can significantly impact ridesplitting adoption. Wang et al [7] compared the effects of carbon credits and monetary rewards on people's willingness to choose ridesplitting, revealing that carbon credits are more effective in promoting ridesplitting behavior. However, previous studies primarily explored the effects of incentives on ridesplitting willingness or intention, without extensively modeling the choice behaviors under these incentive schemes.…”

Section: Introductionmentioning

confidence: 99%

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Modeling Choice Behaviors for Ridesplitting under a Carbon Credit Scheme

Zhang

Yang

et al. 2023

Sustainability

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Ridesplitting, a form of shared ridesourcing service, has the potential to significantly reduce emissions. However, its current adoption rate among users remains relatively low. Policies such as carbon credit schemes, which offer rewards for emission reduction, hold great promise in promoting ridesplitting. This study aimed to quantitatively analyze the choice behaviors for ridesplitting under a carbon credit scheme. First, both the socio-demographic and psychological factors that may influence the ridesplitting behavioral intention were identified based on the theory of planned behavior, technology acceptance model, and perceived risk theory. Then, a hybrid choice model of ridesplitting was established to model choice behaviors for ridesplitting under a carbon credit scheme by integrating both structural equation modeling and discrete choice modeling. Meanwhile, a stated preference survey was conducted to collect the socio-demographic and psychological information and ridesplitting behavioral intentions of transportation network company (TNC) users in 12 hypothetical scenarios with different travel distances and carbon credit prices. Finally, the model was evaluated based on the survey data. The results show that attitudes, subjective norms, perceived behavioral control, low-carbon values, and carbon credit prices have significant positive effects on the choice behavior for ridesplitting. Specifically, increasing the carbon credit price could raise the probability of travelers choosing ridesplitting. In addition, travelers with higher low-carbon values are usually more willing to choose ridesplitting and are less sensitive to carbon credit prices. The findings of this study indicate that a carbon credit scheme is an effective means to incentivize TNC users to choose ridesplitting.

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Section: Discussion On the Influence Of A Carbon Credit Schemementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modeling Choice Behaviors for Ridesplitting under a Carbon Credit Scheme

Zhang

Yang

et al. 2023

Sustainability

Self Cite

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“…In the field of transportation, previous studies have also demonstrated the positive impact of monetary incentives on the adoption of shared electric vehicles [23,24]. As a manifestation of environmental policy, the concept of low-carbon incentives has emerged in recent years, drawing substantial interest from both governments and researchers [25][26][27][28][29][30][31]. Nevertheless, these studies have mainly focused on the influence of incentives on routine travel patterns, while the potential effects on occasional travel, such as trips to airport as examined in this study, remain unclear.…”

Section: Introductionmentioning

confidence: 99%

The Impacts of Low-Carbon Incentives and Carbon-Reduction Awareness on Airport Ground Access Mode Choice under Travel Time Uncertainty: A Hybrid CPT-MNL Model

Shao,

Chen,

et al. 2023

Sustainability

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Developing strategies to incentivize travelers towards adopting sustainable mobility options is one of the effective approaches to mitigate carbon emissions. Using Xi’an Xianyang International Airport as a case study, this study aims to explore the effects of low-carbon incentives and carbon-reduction awareness on airport ground access mode choices. In addition, to account for the complex road environment, an innovative stated preference choice experiment was designed, integrating the factor of travel time uncertainty. Then, a hybrid cumulative prospect theory–Multinomial Logit (CPT-MNL) model was also developed. The estimated results revealed that travelers increasingly prioritize emissions reduction and consciously prefer sustainable mobility options to reach the airport. Furthermore, the potential of low-carbon incentives to encourage public transport usage over private vehicles has been highlighted. Notably, travel time uncertainty had a significant impact on the choice of private cars. When the travel time to the airport is uncertain, travelers exhibit a greater inclination towards selecting public transport. The findings of this study offer nuanced insights for transportation authorities, aiding them in fostering the adoption of sustainable mobility options and achieving carbon reduction objectives.

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