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相关概念视频

Levels of Use of a GIS01:29

Levels of Use of a GIS

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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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Social Traps01:41

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Social traps are negative situations where people get caught in a direction or relationship that later proves to be unpleasant, with no easy way to back out of or avoid. The concept was orignally introduced by John Platt who applied psychology to Garrett Hardin's "Tragedy of the Commons", where in New England herd owners could let their cattle graze in the common ground. This situation seems like a good idea, but an individual could have an advantage. If they owned...
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Selected Data About Geographic Locations01:25

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Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
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GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
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The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
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相关实验视频

Updated: Sep 19, 2025

Measuring Engagement of Spectators of Social Digital Games
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使用游戏化来吸引公民参与微型移动数据共享.

Anu Masso1,2, Anniki Puura1,2, Jevgenia Gerassimenko1

  • 1Ragnar Nurkse Department of Innovation and Governance, Tallinn University of Technology, Akadeemia tee 3, 12616 Tallinn, Estonia.

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概括

游戏化可以推动公民参与数据空间,促进城市规划和可持续交通合作. 这种方法鼓励为社会利益而进行数据共享,这对欧盟的数据议程至关重要.

关键词:
活动主义 活动主义行为变化 行为变化公民 公民 公民数据捐赠的数据捐赠.数据空间是数据空间.游戏化就是游戏化.微型移动性 微型移动性

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科学领域:

  • 数据科学数据科学数据科学
  • 城市规划 城市规划
  • 人与计算机的交互

背景情况:

  • 欧洲数据战略旨在实现跨部门统一的数据访问和重复使用,重点关注移动和智能城市等领域.
  • 在技术互操作性和数据空间立法框架方面取得了进展,但在自下而上的流程,公民参与和协作治理方面存在关键差距.
  • 在医疗保健中建立的数据共享原则,在移动性等领域不那么发达,阻碍了有效实施.

研究的目的:

  • 探索游戏化作为一种自下而上的数据空间形成方法.
  • 调查游戏化如何增强公民参与数据共享,促进各利益相关者之间的合作.
  • 解决在移动和城市规划领域的数据共享方面欠发达的协作治理模型.

主要方法:

  • 探索游戏化策略,以激励公民参与数据共享.
  • 使用自行车使用数据来促进可持续运输的游戏化示例.
  • 对游戏化对数据收集和城市规划的影响的案例研究分析. 爱沙尼亚塔林,城市规划.

主要成果:

  • 游戏化有效地鼓励公民分享移动数据,以实现社会利益,促进可持续的交通.
  • 该研究证明了游戏化在改善数据收集和公民参与城市规划方面的作用.
  • 来自塔林的一个案例研究强调了游戏化在现实城市环境中的实际应用和好处.

结论:

  • 游戏化是一种可行的策略,可以推动自下而上的数据空间形成和公民参与.
  • 通过游戏化增强的有效协作治理模型对于数据空间和可持续城市创新的成功至关重要.
  • 通过游戏化促进的公民参与对于包容性和可行的数据空间至关重要,与欧盟的数据议程保持一致.