考虑真实需求的共享单车碳排放效益分析
Carbon emission benefit of bike-sharing system:A perspective of real demand
周瑜 1刘珅言1
作者信息
- 1. 内蒙古大学经济管理学院,呼和浩特 010021
- 折叠
摘要
碳中和背景下,共享单车的减排能力受到广泛认可.文中针对共享单车系统中未被满足的隐性需求,研究了其对降碳的可能贡献.在量化隐性需求的基础上估算其减排潜力,通过构建完全信息静态博弈模型,分析政府及企业效用以确定实际减排量.根据研究数据推算,呼和浩特市共享单车系统中每年的隐性需求量约为36748次,可以减少约2364kg的碳排放,博弈模型的算例结果显示,权衡政府及企业效用后,释放了90.35％的隐性需求,对应的碳减排量为2136kg,因此研究隐性需求有助于提高共享单车的减排效益.
Abstract
The emission reduction capacity of shared bikes is widely recognized under carbon neutrality.This study focuses on the unmet implicit demands in bike-sharing system and investigates their potential contributions to carbon reduction.We estimate their emission reduction potential by quantifying the implicit demands,and construct a complete information static game model to analyze the utilities of the government and companies in order to determine the actual emission reduction.By the calculation,it is estimated that the implicit demand for bike-sharing system in Hohhot is approximately 36,748 rides per year,which can reduce carbon emissions by about 2,364kg.The case study results of the game model show that by balancing the utilities of the government and companies,90.35％of the implicit demand is fulfilled,corresponding to an emission reduction of 2,136 kg.Therefore,studying the implicit demands helps to improve the emission reduction benefits of shared bikes.
关键词
共享单车/真实需求/碳排放效益/完全信息静态博弈Key words
shared bike/real demand/carbon emission benefits/static games of complete information引用本文复制引用
基金项目
国家自然科学基金(71961025)
内蒙古自治区自然科学基金(2023MS07005)
出版年
2024
国家科技期刊平台
NSTL
万方数据