Dataset opportunity
Gehlpeople — Mobility Event Dataset Opportunity
Gehlpeople 持有的中等规模移动事件数据集，可用于预测和异常检测。
Score
67.4
Score (0–100) blends weighted dimensions — dataset rarity, training value, buyer demand, evidence strength and right-to-license. 70+ is deal-ready. See the scored dimensions below for the breakdown.Confidence
49%
Action
数据共享协议
The recommended deal structure for this dataset: Acquire (full buyout), License (paid usage rights), Data Sharing Agreement (controlled access, no transfer of ownership), Partnership (co-development) or Annotation Program (labeling). Chosen from data ownership, licensing complexity and accessibility.Market size (indicative estimate)
全球移动数据平台市场 = 2024 年为 86 亿美元，复合年增长率为 18.4%。
Lineage
How this lead was derived
The signal-first chain, end to end: recent external signals → qualified niche → resolved data-holder → site verification → scored opportunity. Every lead is explainable.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
- ✨Signal
城市环境中社会行为的实证分析方法
source ↗
Profile
Dataset profile
Type
移动事件数据集
Modality
时间序列
Sector
移动
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — GDPR 敏感（PII 审查）
Buyer persona
量化基金和需求预测 AI 团队
Gehlpeople 持有一个重要的移动事件数据集，结构化为粒度化的时间序列数据。该数据集构建于高流量的事件流和丰富的地理数据之上，捕捉人类移动模式，使其非常适合用于 AI 驱动的预测模型，以预测行人流量、公共空间利用率和城市移动趋势。
全球移动数据平台市场在2024 年的估值为 86 亿美元，预计将以18.4% 的复合年增长率增长。[3] 这种显著的增长凸显了对移动洞察的强烈需求。虽然访问需要处理与客户共享的数据所有权以及对行为数据进行严格匿名化，但该历史数据集的稀有性和深度为寻求开发高级预测解决方案的买家提供了独特的竞争优势。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据所有权通常与市政或私人房地产客户共享；行为数据涉及跟踪公共空间中的人类移动，需要严格匿名化；大量历史数据可能以遗留或非标准化格式存在 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Gehlpeople 控制着一个专有的、纵向的城市移动和社会行为档案，涵盖全球250 多个城市，通过 50 年的实证观察建立。该数据集提供了量化基金和需求预测 AI 团队所需的、高分辨率的时间序列信号，以对价值 86 亿美元的全球移动市场中的复杂人类互动进行建模。通过捕捉“海量的小规模移动”，该数据提供了与嘈杂的 GPS 信号相比稀有的地面实况替代方案，使得在行业以 18.4% 的复合年增长率增长之际，能够精确地预测性建模城市经济活动。
See dimension details ↓- Dataset Specificity78
占主导地位的“事件流”，行业移动，2 个特定类型
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity70
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume68
3 个证据命中，明确提及数据量
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness82
实时/流式传输
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value74
适用于预测
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
AI 买家需求旺盛，这得益于在快速增长的移动数据平台市场中对复杂**预测**的需求，该市场预计将以**18.4% 的复合年增长率**扩张。[3]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility20
受限/未知
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility30
中等难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength62
3 种证据类型，3 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License28
所有权=混合，许可=GDPR 敏感
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence90
独立
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation39
1 个数据胃口信号（1 种类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
盈余=高 — 专有数据超出已货币化的部分
Volume and value of proprietary data this company holds BEYOND what it already monetises — the dormant surplus we can unlock. A company can sell some insights AND still sit on a far larger dormant asset. - ICP Audit92
✓ 良好目标 — Gehl 是一个理想的目标；它是一家城市战略和设计咨询公司，其核心业务是销售战略建议和设计，而不是数据本身，而数据是其副产品。问题：对“Gehl”的初步搜索结果可能令人困惑，指向不相关的实体，如 Gehl Company（重型设备）和 Gehl Foods。正确的实体是 Gehl；该公司高度以数据为中心，使用“数据科学家”和“数字工具”等术语，这需要仔细验证以确认其核心产品是
- Deep Qualification90
⚠ 需要审查 — Gehl 是一家基于服务的城市战略咨询公司，它使用数据作为其项目的工具；收集的数据是为市政当局或大学等特定客户收集的，因此归其所有，限制了任何转售权。[数据归公司客户所有；许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Geospatial data
这项表格证据证实了跨越全球足迹的人类移动和互动记录，提供了本地化需求预测所必需的高保真空间背景。
Data-volume signal
证据突出了一个跨越五十年建立的多模态存储库，为 AI 模型区分临时异常和结构性城市趋势提供了必要的长期历史深度。
Event streams
这些时间序列日志捕捉了细粒度的社会行为和微移动，提供了量化团队用于提高预测准确性的高频事件驱动数据。
Marketplace
Dataset details
Detailed schema & sample available on access request.
Coverage
Scanned sources
Deliverable
Premium dataset report
Gehlpeople Mobility Event — a Moderate mobility event dataset (Time Series modality) in the mobility domain. Primary AI use-case: Forecasting. Market signal: Global Mobility Data Platform market = $8.6 billion in 2024, CAGR 18.4% (source: Dataintelo). [3]. Investment score 67.4/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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