Abstract: In order to alleviate the shortage of urban parking spaces and the low utilization rate of berth resources, from the perspective of parking space information sharing, a parking space information sharing model for fog computing was constructed, which revealed the influence of the geographical structure variables and the socio-economic structure explanatory variables on parking space information sharing in the two dimensions of time and space. The research results show that the berth information sharing period presents Poisson distribution. Moreover, the density of public transport network, the density of government units, parking rates and the proportion of people with an annual income of less than 100 000 yuan show a negative impact on parking space information sharing. While, the road network density, building density, living facility density, leisure and entertainment density, and job density promote the sharing of parking space information.

Key words: traffic engineering; urban traffic; berth information sharing; fog computing; parking berths; spatiotemporal heterogeneity

摘要： 为缓解城市停车泊位奇缺和泊位资源利用率偏低的问题，从停车泊位信息共享的视角下出发，构建了雾计算泊位信息共享模型，揭示了地域结构变量和社会经济结构解释变量在时间和空间2个维度上对停车泊位信息共享的影响。研究结果表明：泊位信息共享时间段呈现泊松分布，且公共交通线网密度、政府单位密度、停车费率和年收入10万元以下人口占比对停车泊位信息共享呈现出负向影响；路网密度、建筑密度、生活设施密度、休闲娱乐密度及工作岗位密度对停车泊位信息共享起到促进作用。

关键词: 交通工程；城市交通；泊位信息共享；雾计算；停车泊位；时空异质性