Improving public transport networks in developing countries relies upon a detailed understanding of what already exists. This can be captured in timetable data formats, the most common being the General Transit Feed Specification (GTFS). Current technology available to work with these formats is focused upon transport _operations_ -- franchising, payments, etc. -- or analyses from only a 'top down' view of how accessible city regions are in terms of travel time. Such technology is also designed for the back-office, and often requires large amounts of training. We have begun to develop simple technology that records GTFS timetable data using the local street network (drawn from the free worldwide OpenStreetMap project), which in turn offers a potential step change in online analysis tools for understanding individual city streets, transport routes, or neighbourhoods. This analysis can take a series of bus or transit routes (captured as stop locations) and, by estimating their routing on the local road network, analyse the routes that traverse every single section of road in a city. This granularity is incredibly powerful, as it allows aggregation to build a picture of * the busiest streets visited by a particular route, indicating where performance may be problematic or capacity is constrained * the most congested transport routes in a neighbourhood, identifying priority areas for improvements * the aggregation of route data for a whole city, confirming the corridors and routes that need the most significant investment or identifying 'bottlenecks' in specific major roads. This online, _interactive_ analysis using a combination of road network data and bus or transit routes in GTFS format is incredibly powerful for planning local public transport, and can be used in conjunction with a number of derived statistics: number of vehicles (per time period), seat capacity by route, seat capacity by road corridor, or vehicular emissions. Aggregating these statistics in different ways is a key part of accurate, evidence-led transport planning, but current tools available require large amounts of geographic or mathematical expertise to operate and may take many days to produce usable outputs. The simplicity of the proposed software instead means query data can be calculated in real-time. Improving these processes to the point where we could train local partners in developing countries to benefit from interactive analytical tools would both improve the efficiency with which we could complete transport planning projects as a company, and have knock-on effects for clean urban transport around the world.

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.

The application is for conducting a feasibility study to demonstrate how the UK and Malaysian innovators would collaborate to develop a proof-of-concept bus open data platform in Phase 2 to improve user experience, service delivery and first and last mile (FLM) to increase public transport use in Klang Valley. While open data exist in the public transport sector in Malaysia, data availability is often insufficient or inconsistent. The key challenge is to get operators, local authorities, technology companies and passengers to work towards open data adoption. In line with ODA objectives, this project aims to prove access to jobs, hospitals, education and amenities helps to achieve economic, social, health, and environmental benefits. The project will particularly support the achievement of SDGs 3, 4, 5, 9, 10, 11, 13. By providing integrated real time journey information, it will improve convenience of public transport use for passengers, leading to increased patronage and revenue for operators. Open data will also allow better service planning and delivery for authorities and enable new commercial opportunities for tech companies both from Malaysia and from the UK.

to design, develop and implement geo-spatial software to improve mobility information for disables people in the UK.