遇见数据集

Mobility Hubs - SCAG Region

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ArcGIS Hub2026-05-11 更新2026-08-20 收录
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The purpose of this dataset is to display and include the final results of SCAG's Mobility Hubs research and the prioritized locations that emerged from that project. SCAG’s mobility hubs strategy identifies mobility hub locations across the region and establishes a recommended baseline for a mobility hubs network. The data-driven methodology for screening and prioritizing mobility hubs analyzed a set of baseline network criteria using GIS analysis to determine candidate mobility hub’s locations based on proximity or inclusion within a zone. To divide the entire region into consistent land areas, counties were split into equally sized grid tiles with areas of a quarter mile by a quarter mile. The methodology established transit/rail stops as a baseline criterion, ensuring only locations containing at least one major stop were further evaluated. Other screening criteria included park and ride locations, proximity to major institutions such as sport venues, universities, and overlap with Priority Equity Communities. The screening process resulted in the identification of more than 700 potential mobility hub locations, which provided the baseline for a potential regional network. These mobility hub locations were then categorized by typology. In developing typologies, SCAG considered land use densities, transportation characteristics, and future population and employment growth. A total of six typologies were developed including: Downtown Hubs, Urban Hubs, Emerging Urban Hubs, Suburban and Rural Hubs, Equity Hubs, and Institutional Hubs. The expansive list of screened mobility hubs was then subjected to prioritization based on the following weighted criteria: transit access and connectivity, climate action, and equitable mobility. The prioritization process resulted in a halving of the prior list, to a total of 346 mobility hubs. Each of the mobility hub types has designated land uses based on definitions as well as transportation features. In addition to existing land use and transportation characteristics, each hub type includes a list of elements that are highly recommended, recommended, or not applicable (e.g., electric vehicle charging, bike share, etc.). It is important to note that design and access elements can vary significantly based on topography, property lines, and other local context factors. Data was gathered from Caltrans Park and Ride data, LA Metro boardings/alightings and bikeshare, and Homeland Infrastructure Foundation-Level Data (HIFLD). SCAG specific data included bike routes, livable corridors, microtransit service zones, SPZs 2016 and 2045, EV charging zones, airports, job centers, and Priority Equity Communities. Mobility hub identification was conducted in 2024.

本数据集旨在展示并收录南加州区域政府协会(Southern California Association of Governments,简称SCAG)出行枢纽研究的最终成果,以及该项目产出的优先级点位清单。SCAG的出行枢纽战略明确了全区域范围内的出行枢纽点位,并为出行枢纽网络制定了推荐基准框架。本次出行枢纽筛选与优先级排序所采用的数据驱动方法论,依托地理信息系统(Geographic Information System,GIS)分析了一系列基准网络准则,基于区域内的邻近性或归属关系确定候选出行枢纽点位。为将全区域划分为统一的陆地区块,研究团队将各郡划分为边长为0.25英里的均等网格单元。该方法论将公共交通/轨道交通站点设为基准准则,确保仅对至少包含一处主要站点的点位开展后续评估。其余筛选准则包括停车换乘设施点位、距离体育场馆、高校等大型机构的邻近程度,以及与公平优先社区(Priority Equity Communities)的重叠范围。本次筛选流程共识别出700余处潜在出行枢纽点位,为潜在的区域出行枢纽网络奠定了基准基础。随后,研究团队基于类型学对上述出行枢纽点位进行了分类。在制定类型学标准时,SCAG综合考量了土地利用密度、交通特征以及未来人口与就业增长情况。最终共确立六大类型,分别为:市中心出行枢纽(Downtown Hubs)、城市出行枢纽(Urban Hubs)、新兴城市出行枢纽(Emerging Urban Hubs)、郊区与乡村出行枢纽(Suburban and Rural Hubs)、公平优先社区出行枢纽(Equity Hubs)以及机构型出行枢纽(Institutional Hubs)。随后,研究团队基于以下加权准则对规模庞大的筛选后出行枢纽清单开展优先级排序:公共交通可达性与连通性、气候行动以及公平出行。本次优先级排序流程将原有清单缩减一半,最终确定346处出行枢纽点位。每一类出行枢纽均基于其定义与交通特征,划定了专属的土地用途。除既有土地利用与交通特征外,每类枢纽还包含一份设施清单,明确标注了高度推荐配置、推荐配置以及不适用配置(例如电动汽车充电桩、共享单车站点等)。需特别说明的是,枢纽的设计与通行设施配置会因地形、地产边界以及其他本地情境因素而存在显著差异。本数据集的数据来源于加利福尼亚州运输部(California Department of Transportation,Caltrans)的停车换乘设施数据、洛杉矶大都会交通局(Los Angeles County Metropolitan Transportation Authority,LA Metro)的上下客量与共享单车数据,以及国土基础设施基础层级数据(Homeland Infrastructure Foundation-Level Data,HIFLD)。SCAG专属数据集包含自行车道、宜居廊道、微交通服务区域、2016与2045年特别规划区(SPZs)、电动汽车充电区域、机场、就业中心以及公平优先社区(Priority Equity Communities)。本次出行枢纽点位识别工作于2024年完成。

创建时间:
2025-04-23
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