Urban Data
Đã giới thiệu| English | Ý nghĩa |
|---|---|
| urban data/ˈɜːbən ˈdeɪtə/ | dữ liệu đô thị |
| smart cities/smɑːt ˈsɪtiz/ | thành phố thông minh |
| privacy/ˈprɪvəsi/ | quyền riêng tư |
Planning with data
- Planners use urban data to understand and manage cities.
- Census and survey data show who lives where and what they need.
- GIS maps layer data to reveal patterns and guide decisions.
Cities that use sensors and real-time data to run services efficiently are called...
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Smart cities run on real-time sensor data.
Where to build what
- Data shows where to put schools, transit, hospitals, and services.
- It reveals gaps — neighbourhoods underserved by transport or healthcare.
- Good data means services reach the people who need them.
Benefit or concern of urban data?
Sort each item as a benefit or a concern of using urban data.
Software that layers spatial data to reveal urban patterns is called ____.
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GIS layers urban data to guide planning decisions.
Select all good uses of urban data.
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Data guides services and reveals gaps; hiding it defeats the purpose.
Match each term to its meaning.
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Smart city = sensors; GIS = layered data; privacy = tracking risk.
Smart cities and privacy
- Smart cities 智慧城市 use sensors and real-time data to run services efficiently.
- This can cut traffic, save energy, and speed emergency response.
- But collecting so much data raises privacy 隐私 concerns.
Collecting lots of real-time data in cities raises privacy concerns.
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Smart-city sensors can track people, raising privacy issues.
Urban data is powerful but not neutral. Which data is collected, and who controls it, shape decisions — and can hide or reveal inequality. "Smart" city sensors also raise real privacy concerns. Ask who benefits from the data and who is watched by it.
A city maps bus stops against where elderly residents live (urban data in GIS) and finds a whole district poorly served. It adds a new route there — a data-driven decision. But if the same sensors track individuals' movements, that raises privacy questions.
Urban data — from the census, surveys, and GIS — guides where to build services and reveals gaps. Smart cities use real-time sensor data to run efficiently, but collecting it raises privacy concerns. Data is powerful but not neutral.
Write from sensors that create a privacy risk
- Street sensors count phones to measure crowding in a square.
- The counts help the city time its buses.
What benefit and what risk do the sensors bring?
Location data can serve planning and still expose people.
What risk comes with these phone-counting sensors?
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Tracking devices reveal more than a crowd total.