• Corpus ID: 250644145

Revealing the CO2 emission reduction of ridesplitting and its determinants based on real-world data

@inproceedings{Li2022RevealingTC,
  title={Revealing the CO2 emission reduction of ridesplitting and its determinants based on real-world data},
  author={Wenxiang Li and Yuanyuan Li and Ziyuan Pu and Longmei Cheng and Lei Wang and Linchuan Yang},
  year={2022}
}
Ridesplitting, which is a form of pooled ridesourcing service, has great potential to alleviate the negative impacts of ridesourcing on the environment. However, most existing studies only explored its theoretical environmental benefits based on optimization models and simulations. By contrast, this study aims to reveal the real-world emission reduction of ridesplitting and its determinants based on the observed data of ridesourcing in Chengdu, China. Integrating the trip data with the COPERT… 

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