Unique ID: 2015028
| Division: | Research Institute of Statistical Science |
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| Issue Date: | February 13th 2019 |
| Last modified: | February 22nd 2019 |
The application of Big Data for highway and waterway transport statistics
Using administrative transportation data to improve transportation statistics
In 2014, the Joint Transport Ministry has studied the networks of the toll highway system and marine visa system. They found a way to apply the massive administrative records data of these two systems to the highway and waterway transport statistics, and now the method has been applied in most of the country on a trial basis.
Project Objective:
Pilot intended to go to production to replace existing data
Project Outcomes:
This achievement has been applied to highway and waterway transport statistics in China and the results can be more accurate and timelier compared to the original methods. The project has important implications for how Big Data can be used in official statistics.
Statistical Area
Project Sources
| Type Of Institution: | National statistical office |
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| Big Data Source: | Road sensor data, Ships identification data |
| Region: | East Asia & Pacific |
| Country Area: | China |
| Id Country Regional: | country |
Partnerships
| Other Partners: | Government institute, Technology partner |
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Accessing Data
| Data Access Rights: | Only for this project |
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Data Coverage
| Data Coverage: | Only a portion of all data |
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| Coverage Geo Pop: | Part of country / high % of market |
| Cost Implication: | Free |
| Coverage Period: | Monthly since 2013 |
Data Quality
| Quality Framework: | Quality of source/input |
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| Quality Aspects Evaluated: | Completeness, Usability, Time Factors, Accessibility, Relevance, Validity, Accuracy, including selectivity, Coherence, including linkability to other sources |
| Quality Framework Comments: | Compare the internal original data with the external data. Analyze the volatility of the aggregated data and establish review periods. |
| Data Quality Concerns Comments: | We designed a special audit platform according to the structural characteristics of the original data and aggregate processing data and set up the conditions for approval. |
Methodology
| Methods Used: | Traditional statistical methods, Data visualization methods |
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Technologies
| Technologies: | Column store database, NoSQL database, Data mining tools, Data visualization tools |
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Other
| Income Level: | Upper-middle-income |
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| Iso: | CN |
| Timeframe To Produce Indicator: | NA |