Architecture, construction methods, and application of high-quality datasets for urban transport governance and mobility services

ZHANG Qunhong; LIU Hao

doi:10.11959/j.issn.2096-0271.BDR26181

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Architecture, construction methods, and application of high-quality datasets for urban transport governance and mobility services

更新时间：2026-09-09

- Architecture, construction methods, and application of high-quality datasets for urban transport governance and mobility services
- Big Data Research (2026)
- 作者机构：
  
  福州市数字福州集团有限公司，福建福州 350009
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.BDR26181
  CLC： TP315
- Received：08 May 2026，
  
  Revised：2026-08-16，
  
  Accepted：09 September 2026，
- 稿件说明：
移动端阅览
ZHANG Qunhong, LIU Hao. Architecture, construction methods, and application of high-quality datasets for urban transport governance and mobility services[J/OL]. Big Data Research, 2026.
DOI：

ZHANG Qunhong, LIU Hao. Architecture, construction methods, and application of high-quality datasets for urban transport governance and mobility services[J/OL]. Big Data Research, 2026. DOI： 10.11959/j.issn.2096-0271.BDR26181.

摘要

在数据要素市场化配置和“人工智能+交通运输”加快推进的背景下，城市交通高质量数据集已成为提升交通治理能力、优化公众出行服务和释放数据要素价值的重要基础。本文以福州市城市交通相关实践为例，围绕治理与服务双场景，分析区域交通高质量数据集建设面临的数据分散、标准不一和场景衔接不足等问题。研究认为，区域交通高质量数据集建设应以多源异构数据汇聚为基础，以标准化治理、主题建模、质量评价、安全治理和可信流通为关键路径。福州案例表明，围绕“人、车、路、站、线”构建对象关系和主题数据组织机制，能够推动交通数据由分散资源向治理效能、服务效能和数据产品化能力转化，为同类城市推进交通数据要素高质量建设提供参考。

Abstract

Against the backdrop of the accelerated market-oriented allocation of data elements and the advancement of “AI Plus Transportation

” high-quality urban transport datasets have become an important foundation for improving transport governance

optimizing public mobility services

and unlocking the value of data elements. Taking relevant urban transport practices in Fuzhou as a case

this study examined the problems encountered in developing high-quality regional transport datasets for governance and service scenarios

including fragmented data

inconsistent standards

and inadequate alignment with application scenarios. The analysis suggests that high-quality regional transport datasets should be built on multisource heterogeneous data integration

with standardized governance

thematic modeling

quality assessment

security governance

and trusted circulation as key approaches. The Fuzhou case showed that establishing entity relationships and a thematic data organization mechanism centered on people

vehicles

roads

stops

and routes can transform fragmented transport data resources into governance effectiveness

service effectiveness

and data product development capacity. These findings provide a reference for comparable cities seeking to promote the high-quality development of transport data elements.

关键词

Keywords

references

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