School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China.
Institute of Land Resources and Coastal Zone, Guangzhou University, Guangzhou 510006, China.
Int J Environ Res Public Health. 2022 Apr 27;19(9):5325. doi: 10.3390/ijerph19095325.
Understanding the effect of the urban built environment on online car-hailing ridership is crucial to urban planning. However, how the effects change with the analysis scales are still noteworthy. Therefore, a multiscale exploratory study was conducted in Chengdu, China, by using the stepwise regression selection and three spatial regression models. The main findings are summarized as follows. First, as the grid size increases, the number of built environment factors that have significant effects on trip intensity decrease continuously. Second, the effects of population density and road density are always positive from the 500 m grid to the 3000 m grid. As the analysis scale increases, the effect of proximity to public transportation shifts from inhibitory to facilitation, while the positive effect of land-use mix becomes stronger. Land-use type has both positive and negative effects and shows different characteristics at different scales. Third, the effects of built environment factors on online car-hailing trip intensity show different spatial variability characteristics at different scales. The effect of population density gradually decreases from north to south. The effect of road network density shows circling and wave patterns, with the former at relatively fine scales and the latter at relatively coarse scales. The spatial variation in the effect of land-use mix can only be observed more significantly at a relatively coarse scale. The effect of bus stop density is only obvious at the relatively fine and medium scales and shows a wave-like pattern and a circle-like pattern. The effect of various land-use types shows different spatial patterns at different scales, including wave-like pattern, circle-like pattern, and multi-core-like pattern. The spatial variation in the effects of various land-use factors gradually decrease with the increase in the analysis scale.
理解城市建成环境对网约车出行的影响对于城市规划至关重要。然而，分析尺度如何影响这些影响仍值得关注。因此，在中国成都进行了一项多尺度探索性研究，使用逐步回归选择和三种空间回归模型。主要发现总结如下。首先，随着网格尺寸的增加，对出行强度有显著影响的建成环境因素数量不断减少。其次，人口密度和道路密度的影响从 500m 网格到 3000m 网格始终为正。随着分析尺度的增加，接近公共交通的影响从抑制变为促进，而土地利用混合的积极影响变得更强。土地利用类型既有正效应又有负效应，在不同尺度下表现出不同的特征。第三，建成环境因素对网约车出行强度的影响在不同尺度下表现出不同的空间变异性特征。人口密度的影响从北到南逐渐减小。路网密度的影响呈盘旋和波浪状，前者在较细的尺度上，后者在较粗的尺度上。土地利用混合效应的空间变化只能在较粗的尺度上更明显地观察到。公交车站密度的影响仅在较细和中等尺度上明显，并呈波浪状和圆形。各种土地利用类型的影响在不同尺度上呈现出不同的空间模式，包括波浪状、圆形和多核状。随着分析尺度的增加，各种土地利用因素的影响空间变化逐渐减小。
