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公开 Alpha · 研究版
阅读城市指南与比较 ↓
印度

孟买

非常安全
较安全
谨慎
高风险
很高风险
极端风险
城市区域安全
正在加载区域证据…
孟买: 63

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孟买安全地图与旅行背景

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低置信度的首版参考:结合国家或地区级结构指标与官方旅行提示。

城市研究估算为 63/100;模型尺度上分数越高越安全。 证据日期: · 置信度: D

地图覆盖什么?

颜色反映城市内部的区域证据。 空白处缺少区域证据,不代表安全。

24 个已映射区域 ·

边界数据: OpenStreetMap contributors · Mumbai BMC administrative wards (Open Data Commons Open Database License 1.0)

选择住宿前

  1. 在地图找到住宿候选,确认该区域是否有证据。
  2. 阅读区域差异来自什么。城市分数和区域估算回答的问题不同。
  3. 另外核查最新当地提示与交通。这些估算不能评估某家酒店、某条街道或特定时段。

城市整体证据

人身暴力
64/100
财产与诈骗
52/100
交通与出行
48/100
医疗与救援
74/100
冲突与稳定
70/100
灾害与环境
70/100
基础设施响应
72/100

城市估算不能评估某条街道、某家酒店或特定时段。

来源与限制(原文)

A low-confidence first reference using India-level structural indicators with official crime and terrorism guidance anchored to personal safety.

Batch-generated global-scale research estimates. Local signals are used when available; otherwise documented country-level baselines and official current-condition guidance provide a low-confidence first reference. Not travel advice.

Overall-only public-alpha estimate. Ward variation is a conservative four-kilometre proximity signal from 70 community-mapped police and fire-station points that fall inside the current BMC ward boundaries, anchored to Mumbai's global city score. Fire stations receive a small transparent capacity weight. OpenStreetMap facility coverage is not an authoritative or complete government register, and proximity is not response time or performance: the model ignores roads, traffic, staffing, equipment, availability, incident demand and hazards, while centroid proximity can misrepresent large wards. Only infrastructure-response access varies; crime and other dimensions do not vary by ward, no day/night difference is inferred, and this is not an official ward ranking. OpenStreetMap boundaries are for display only; not travel advice.

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