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Sustainable Global Logistics and Infrastructure Database
Data Science and Analytics
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About
Capturing the complexities of international transit systems involves tracking diverse transport modes, vehicle varieties, and specific infrastructure classifications alongside their environmental impacts. By documenting emissions observations across multiple global regions, this resource provides an extensive overview of how freight and passengers move across the world. The information is curated from authoritative organisations such as the International Transport Forum (ITF) and the International Energy Agency (IEA), facilitating evidence-based strategies for infrastructure optimisation and the pursuit of sustainable transport goals. These records offer a detailed look at the intersection of logistics and environmental science, supporting the development of greener global supply chains.
Columns
- DATAFLOW: A unique identifier assigned to the specific data stream or source flow within the collection.
- STRUCTURE: A unique identifier used to distinguish each infrastructure entry in the record set.
- STRUCTURE_ID: A code representing specific characteristics or classifications of the transport infrastructure.
- STRUCTURE_NAME: The descriptive name assigned to the infrastructure type, such as annual freight transport.
- ACTION: The current status or specific action associated with the recorded observation.
- REF_AREA: An abbreviated code representing the geographic area or region where the data was collected.
- Reference area: The full name and description of the geographic area or country.
- FREQ: A code indicating the frequency at which the data point is observed.
- Frequency of observation: A detailed explanation of the reporting interval, typically recorded on an annual basis.
- MEASURE: The specific category or type of measurement recorded for the observation.
- Measure: The specific units or descriptive label used to quantify the transport observations.
Distribution
The information is delivered in a CSV format titled
Transport_Freight.csv, with a file size of approximately 264.63 kB. It contains 1,148 valid records, demonstrating high integrity with 100% validity across all primary columns. The dataset features 28 columns in total, covering identifiers, geographical details, and measurement types. This is a static resource with an expected update frequency of never, and it holds a top-tier usability rating of 10.00.Usage
This resource is ideal for performing longitudinal environmental impact assessments and identifying global patterns in freight movement. Analysts can use the metrics to develop infrastructure optimisation models and support the creation of carbon reduction policies. It also serves as a robust baseline for comparing the efficiency of various transport modes across different international regions, helping to prioritise sustainable investment.
Coverage
The geographic scope is global, encompassing 56 unique reference areas including regions such as Czechia and North Macedonia. Temporally, the data is structured around annual observations, providing a consistent timeline for infrastructure and emissions tracking. The demographic focus is centred on large-scale transport systems and freight logistics rather than individual-level data.
License
CC0: Public Domain
Who Can Use It
Environmental researchers and consultants can utilise these metrics to calculate the carbon footprint of regional transport networks. Government transport departments can leverage the infrastructure classifications to benchmark national performance against international peers. Additionally, data scientists and logistics professionals may find the structured freight measures valuable for training predictive models aimed at reducing transport-related emissions.
Dataset Name Suggestions
- Global Transport Infrastructure and Emissions Registry
- International Freight Transport and Carbon Metrics Index
- Sustainable Global Logistics and Infrastructure Database
- ITF and IEA Transport Emissions and Infrastructure Records
Attributes
Original Data Source: Sustainable Global Logistics and Infrastructure Database
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