【レポートの概要（一部）】
1. Executive Summary
1.1. Mass production of urban data
1.2. Is it smart to pool urban data, and their collection?
1.3. The challenge of making urban data, open data
1.4. Do we need national governance for urban data?
2. Methodology & definitions
2.1. IDATE’s general methodology
2.2. Methodology specific to this report
2.3. Definitions
3. The what and why of urban data
4. The prospect of a huge surge in the production of urban data
4.1. Government and citizen data
4.2. Sensors and tags
4.2.1. Infrastructure sensors
4.2.2. Tags: RFID, NFC, QR code
4.3. Citizen-generated data
4.3.1. Personal sensors
4.3.2. Examples of citizen-generated data
4.4. External data
4.4.1. The Internet
4.4.2. Other possible sources of data
5. Collection urban data: from juxtaposed to shared networks
5.1. Available networks
5.1.1. WPAN technologies
5.1.2. Ultra Wide-band (UWB)
5.1.3. Proprietary technologies
5.1.4. Cellular networks
5.2. The challenge of streamlining backhaul networks
6. Storage and processing: the heart of any urban data utilisation project
6.1. The challenge of making urban data, open data
6.1.1. Open Data: first small forays
6.1.2. Open data specialists
6.2. Storing urban data
6.3. Processing urban data
6.3.1. Quality of the data and prior processing
6.3.2. APIs: automating data transfers
6.3.3. The emergence of big data
6.3.4. Visualisation
7. Putting urban data to work: complementary approaches in search of a winning model
7.1. Private sector approach to utilising urban data
7.1.1. Developing businesses and creating new professions
7.1.2. New specialised players
7.1.3. How telcos and IT service companies are positioned in the market
7.2. Public approach
7.2.1. The city as decision-maker
7.2.2. The city as data manager
7.3. Public-private approach
7.4. Managing the ecosystem
7.4.1. Incubators
7.4.2. Living labs
7.4.3. Challenges, contests and other incentive measures
8. Urban data: still a number of unknowns
8.1. Legal and regulatory framework governing data
8.1.1. Personal data
8.1.2. Data from public actors
8.1.3. Data from private actors
8.2. Standardising urban data
8.3. Business models
8.3.1. Expected benefits
8.3.2. Potential sources of financing
9. Conclusion: stepping stones to urban data governance
【レポート販売概要】
■ タイトル：スマートシティ市場：都市データ■ 英文：Smart City : Urban data: a pivotal element in digital communities
■ 発行日：2014年12月
■ 調査会社：IDATE
■ 商品コード：M14448MR
■ 調査対象地域：グローバル
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