正在載入地圖…
SSafrom出發前,先瞭解
公開 Alpha · 研究版
閱讀城市指南與比較 ↓
印度

孟買

非常安全
較安全
謹慎
高風險
很高風險
極端風險
城市區域安全
正在載入區域證據…
孟買: 63

出發前,先瞭解

孟買安全地圖與旅行背景

返回世界地圖 ↑

低信心的首版參考:結合國家或地區級結構指標與官方旅遊提示。

城市研究估算為 63/100;模型尺度上分數越高越安全。 證據日期: · 信賴度: D

地圖涵蓋什麼?

顏色反映城市內部的區域證據。 空白處缺少區域證據,不代表安全。

24 個已映射區域 ·

邊界資料: OpenStreetMap contributors · Mumbai BMC administrative wards (Open Data Commons Open Database License 1.0)

選擇住宿前

  1. 在地圖找到住宿候選,確認該區域是否有證據。
  2. 閱讀區域差異來自什麼。城市分數和區域估算回答的問題不同。
  3. 另外核查最新當地提示與交通。這些估算不能評估某家飯店、某條街道或特定時段。

城市整體證據

人身暴力
64/100
財產與詐騙
52/100
交通與移動
48/100
醫療與救援
74/100
衝突與穩定
70/100
災害與環境
70/100
基礎設施應變
72/100

城市估算不能評估某條街道、某家飯店或特定時段。

來源與限制(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.

Safrom 如何使用來源