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【目标】为探究不同建成环境因子对网约车出行的交互影响，厘清影响显著因子对网约车出行空间分异性的影响。【数据】采用海口市滴滴出行数据和多源地理空间数据（Worldpop人口数据、路网数据、网格GDP数据以及POI数据），基于多源空间数据从密度、设计、多样性、公共交通近邻度、目的地可达性和社会经济属性6个维度构建建成环境指标。【方法】首先，运用最优参数地理探测器模型（OPGD）分析因子对网约车出行的独立和交互影响；随后，采用空间自相关和多尺度地理加权回归模型（MGWR）进一步识别工作日和周末不同时段建成环境对网约车出行的时空分异性。【结论】OPGD模型揭示了土地利用混合、人均GDP等对网约车出行影响较低，餐饮、居住区与其他因子交互能显著提高对网约车出行影响的解释力；MGWR模型识别显著影响因子对网约车出行影响存在明显的空间异质性。【应用】研究结果能够为城市管理和规划者提供建议，为优化网约车出行提供支撑。
Abstract：[Objective] To investigate the interactive effects of different built-environment factors on online ride-hailing trips and to clarify the effects of significant factors on the spatial heterogeneity of online ride-hailing trips. [Data] Didi travel data and multisource geospatial data(worldpop population data, road network data, grid GDP(Gross Domestic Product) data, and POI(Point of Interest) data) from Haikou are used to construct the built-environment indicators from six dimensions: density,design, diversity, distance to transit, destination accessibility, and socioeconomic attributes. [Methods] First, an optimal parameter geographic detector model(OPGD) is used to analyze the independent and interactive effects of factors on online ride-hailing trips. Subsequently, spatial autocorrelation and multiscale geographically weighted regression(MGWR) models are used to identify the spatiotemporal heterogeneity of the built environment on online ride-hailing trips during different periods on weekdays and weekends. [Conclusions] The OPGD model shows that mixed-land use and per capita GDP minimally affect online ride-hailing trips, and that the interaction between catering,residential areas, and other factors can significantly improve the explanatory power of the effect on online ride-hailing trips. The MGWR model identifies significant influencing factors that exhibit clear spatial heterogeneity in their effect on online ride-hailing trips. [Application] The results can provide suggestions for urban management and planners and support the optimization of online ridehailing travel.
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基本信息:
DOI：10.19961/j.cnki.1672-4747.2024.10.016
中图分类号:U495
引用信息:
[1]毛新博,高歌,李甜等.考虑交互效应的建成环境对网约车时空分异影响分析[J].交通运输工程与信息学报,2025,23(02):16-31.DOI:10.19961/j.cnki.1672-4747.2024.10.016.
基金信息:
山东省自然科学基金项目（ZR2023MG008）