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

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
负责人:
金额:
$6.84万
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
项目状态:
已结题
起止时间:
2020 至 --

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中文摘要
翻译
起点-目的地矩阵是运输规划中常用的数据格式,用于理解乘客、货物或车辆的“流动”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,我们希望降低交通从业者(城市规划者、公交运营商、其他咨询公司)的界限,以便能够通过更好地理解复杂建模工具的输出和快速利用新兴数据来源(如移动电话记录)的能力,做出以数据为主导的决策。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基于地图的在线界面,用于理解OD矩阵数据。用户可以单击区域,查看zone-to-zone流,聚合和查询“在”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2019冠状病毒病大流行和随之而来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特性。该工具旨在处理来自多种常见格式的区域OD数据和地理位置,它将自动执行所需的许多预处理步骤,并允许上传不同类型的自定义地理数据。该项目旨在使OD可视化工具达到一个标准,我们可以更好地利用内部作为一个公司,并通过与我们在英国和国际上的合作伙伴的合作。随着城市政府和服务运营商迎接从COVID-19中恢复的挑战,并致力于鼓励更多地使用公共交通工具、步行和骑自行车,减少对GIS专业知识和耗时的数据操作的需求,将对全球的可持续性产生重大好处。快速了解来自不同来源的OD数据的能力也将大大提高ITP(以及其他小型咨询公司和合作伙伴)与大型运输规划咨询公司的竞争力,大型运输规划咨询公司通常是唯一拥有部署大规模运输建模资源的各方。
英文摘要
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.
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