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| Main Authors: | , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.09237 |
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| _version_ | 1866908648074117120 |
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| author | Liu, Bing Liao, Yuan Yeh, Sonia Cats, Oded Nielsen, Kristian S. Dong, Zhenning Wang, Yong Li, Yi Liu, Yanli Ni, Zirui Ma, Xiaolei |
| author_facet | Liu, Bing Liao, Yuan Yeh, Sonia Cats, Oded Nielsen, Kristian S. Dong, Zhenning Wang, Yong Li, Yi Liu, Yanli Ni, Zirui Ma, Xiaolei |
| contents | Meeting global carbon reduction targets requires large-scale behavioral shifts in everyday travel. Yet, real-world evidence on how to motivate such large-scale behavioral change remains scarce. We evaluate a carbon incentive program embedded in a MaaS platform in Beijing, China, using data from 3.9 million participants and 4.8 billion multimodal trips over 395 days. The program increased reported public transport and bike travel by 20.3% per month and reduced gasoline car use by 1.8% per day, yielding an annual carbon reduction of ~94,000 tons, or 5.7% of certified reductions in Beijing's carbon market. Although effects diminished over time, participants still made 12.8% more green trips per month after eight months, indicating persistence. These results provide the first large-scale empirical evidence of carbon incentives in MaaS and highlight their potential to inform targeted, city-specific interventions that can scale to support global low-carbon mobility transitions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_09237 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Scaling behavioral incentives for low-carbon mobility through digital platforms Liu, Bing Liao, Yuan Yeh, Sonia Cats, Oded Nielsen, Kristian S. Dong, Zhenning Wang, Yong Li, Yi Liu, Yanli Ni, Zirui Ma, Xiaolei Applications Meeting global carbon reduction targets requires large-scale behavioral shifts in everyday travel. Yet, real-world evidence on how to motivate such large-scale behavioral change remains scarce. We evaluate a carbon incentive program embedded in a MaaS platform in Beijing, China, using data from 3.9 million participants and 4.8 billion multimodal trips over 395 days. The program increased reported public transport and bike travel by 20.3% per month and reduced gasoline car use by 1.8% per day, yielding an annual carbon reduction of ~94,000 tons, or 5.7% of certified reductions in Beijing's carbon market. Although effects diminished over time, participants still made 12.8% more green trips per month after eight months, indicating persistence. These results provide the first large-scale empirical evidence of carbon incentives in MaaS and highlight their potential to inform targeted, city-specific interventions that can scale to support global low-carbon mobility transitions. |
| title | Scaling behavioral incentives for low-carbon mobility through digital platforms |
| topic | Applications |
| url | https://arxiv.org/abs/2511.09237 |