OD Visualiser - a tool to understand and analyse transport matrix data in low-income countries

OD Visualiser - 用于理解和分析低收入国家运输矩阵数据的工具

• 批准号: 85670
• 金额: $ 6.84万
• 依托单位: INTEGRATED TRANSPORT PLANNING LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=85670
• 关键词: OD; Visualiser; tool; understand; analyse

Origin-destination (OD) matrices are a common data format used in transport planning, for understanding 'flows' of passengers, freight, or vehicles and making decisions. However, expensive modelling software or considerable geographic information systems (GIS) expertise is often needed to process and understand the mapping associated, and turn it into actionable intelligence. We therefore want to lower the boundaries for transport practitioners (city planners, bus operators, other consultancies) to be able to make **data-led decisions** - with better understanding of the outputs of complex modelling tools and the ability to rapidly exploit emerging sources of data such as mobile phone records.Integrated Transport Planning Ltd (ITP) has developed a proof-of-concept prototype which presents a usable mapping-based online interface for understanding OD matrix data. Users are able to click on zones, see zone-to-zone flows, and aggregate and query statistics 'between' pairs or sets of zones. This is fundamental to managing accurate and timely decision-making for public transport and active travel -- more important than ever in the wake of the COVID19 pandemic and resulting global recession.Through this project, we aim to improve the data loading and usability features of this prototype. Intended to be able to process zone OD data and geography from a number of common formats, the tool will automate many of the preprocessing steps required and permit uploading of custom geographic data of different types. The project aims for the OD Visualisation tool to reach a standard that we can better exploit both internally as a company, and through collaboration with our partners in the UK and internationally.Reducing the need for GIS expertise and time consuming data manipulation in understanding transport models will have a significant benefit for sustainability worldwide, as city governments and service operators meet the challenges of recovering from COVID-19 and aim to encourage greater use of public transport and walking and cycling. The ability to rapidly understand OD data from different sources will also greatly improve ITP's (and that of other smaller consultancies and partners) competitiveness with larger transport planning consultancies, who have often been the only parties with the resources for deploying large-scale transport modelling.

OD矩阵是交通规划中常用的数据格式，用于了解乘客、货物或车辆的“流量”并做出决策。然而，通常需要昂贵的建模软件或相当多的地理信息系统（GIS）专业知识来处理和理解相关的地图，并将其转化为可操作的情报。因此，我们希望降低运输从业员的界限（城市规划者、公交运营商、其他咨询公司）能够做出 ** 数据主导的决策 ** -更好地理解复杂建模工具的输出，并能够快速利用新兴数据源，如移动的电话记录。综合交通规划有限公司（ITP）开发了一个概念验证原型，该原型提供了一个可用的映射-基于在线界面，用于了解OD矩阵数据。用户可以点击区域，查看区域到区域的流，以及聚合和查询区域对或区域集之间的统计信息。这对于管理公共交通和主动出行的准确和及时决策至关重要-在COVID 19大流行和由此导致的全球经济衰退之后，这一点比以往任何时候都更加重要。通过这个项目，我们的目标是改进这个原型的数据加载和可用性功能。该工具旨在能够处理若干通用格式的地区OD数据和地理数据，将自动执行许多必要的预处理步骤，并允许上载不同类型的定制地理数据。该项目旨在使OD可视化工具达到一个标准，使我们能够更好地利用内部作为一个公司，并通过与我们的合作伙伴在英国和国际上。减少对GIS专业知识和耗时的数据处理在理解交通模型的需要将有一个显着的好处，在全球范围内的可持续发展，随着城市政府和服务运营商应对从COVID-19中恢复的挑战，并旨在鼓励更多地使用公共交通工具以及步行和骑自行车。快速理解来自不同来源的OD数据的能力也将大大提高ITP（以及其他较小的咨询公司和合作伙伴）与大型交通规划咨询公司的竞争力，后者通常是唯一拥有部署大规模交通建模资源的方。