Two-sided matching and strategic selection on freight resource sharing platforms
Two-sided matching and strategic selection on freight resource sharing platforms
复制标题
货运资源共享平台的双边匹配与战略选择
DOI：
10.1016/j.physa.2020.125014
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Wu Xiaojun
中科院分区：
文献类型：
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作者：
Wang Zhihong;Li Yangyang;Gu Fu;Guo Jianfeng;Wu Xiaojun
为了解决货运市场信息不对称、匹配效率低的问题，货运资源共享平台必须提供准确且易于接受的车货匹配结果。我们研究了双边匹配模型，分析了供需双方的损失厌恶对匹配结果的影响。我们发现用户的损失厌恶对车货匹配的准确性有积极影响。接下来，我们构建进化博弈模型，研究用户对平台推荐的匹配结果的策略选择趋势以及影响其选择的因素。在各自的限度内，平台的服务水平、用户的初始接受概率和等待成本对用户对匹配结果的接受程度的演化趋势产生正向影响。使用数值分析验证模型。为提高平台匹配效率提出几点建议。
To resolve problems of information asymmetry and low matching efficiency in freight market, a freight resource sharing platform must provide accurate and readily acceptable vehicle-cargo matching results. We study a two-sided matching model, and analyze the impact of suppliers and demanders’ loss aversion on matching results. We find that users’ loss aversion positively influences the accuracy of vehicle-cargo matching. Next, we construct an evolutionary game model and investigate the trend of users’ strategic selection of the matching results recommended by the platform and the factors influencing their selection. Within their respective limits, the platform’s service level, the users’ initial acceptance probability and waiting cost are found to have a positive impact on the evolutionary trend of users’ acceptance of the matching results. The models are verified using numeric analyses. Several suggestions are made for improving platform matching efficiency.