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スマートシティとモノのインターネット(IoT):都市のIoTの市場動向と市場概観

Smart Cities & IoT

Trends and outlook for urban IoT

 

出版社 出版年月電子媒体価格ページ数
IDATE
イダテ社
2016年11月Eur3,000
1-5ユーザライセンス(PDF)
67

サマリー

フランスの調査会社イダテ社(IDATE)の調査レポート「スマートシティとモノのインターネット(IoT):都市のIoTの市場動向と市場概観」は、モビリティ、環境、公共安全、電力・ガス・水道のフロー管理といった4つの垂直市場のモノのインターネットの発展という側面から見たスマートシティのトピックを明示している。スマートシティに展開するモノのインターネットを支える技術についても詳述している。4つの垂直市場に関するデジタルサービスによる付加価値、バリューチェーン、関連企業、ビジネスモデルについて査定している。それぞれの垂直市場の数値データも記載している。

This report explores the topic of the smart city from the perspective of the development of the Internet of Things in four vertical markets: mobility, the environment, public safety and managing flows (power, water, gas).

It delivers a detailed snapshot of the technologies that could underpin the Internet of Things' deployment in cities.

The four vertical markets examined are analysed in terms of the value-added brought by digital services, their value chain, stakeholders and business models.

The report also supplies international quantitative data for each four vertical markets.



目次

1. Executive Summary
 1.1. Rethinking urban mobility
 1.2. A better governed urban environment
 1.3. Meeting a societal demand for a safe and secure urban space
 1.4. More sustainable cities

2. Methodology and definitions
 2.1. General methodology of IDATE's reports
 2.2. Methodology specific to this report
 2.3. Definitions
 2.4. The Internet of Things in the smart city

3. Internet of Things technologies
 3.1. Sensors and connected objects
 3.1.1. Sensors are vital to acquiring data
 3.1.2. Objects and sensors that are specific to the city
 3.2. Connectivity
 3.2.1. Specific constraints
 3.2.2. LPWA network
 3.2.3. Traditional cellular networks
 3.2.4. More complementary than competing
 3.3. IT – software and services
 3.3.1. Data storage and management
 3.3.2. Analytics and big data

4. Analysis of the different vertical sectors
 4.1. Mobility
 4.1.1. Smart mobility in the smart city
 4.1.2. Value chain
 4.1.3. Business models
 4.1.4. Case study: SF Park – San Francisco's smart parking system
 4.1.5. Case study: Optimod'Lyon, a multimodal transport application
 4.1.6. Spotlight on self-driving cars
 4.2. The environment
 4.2.1. The value-added of smart environmental services
 4.2.2. Value chain
 4.2.3. Business model
 4.2.4. Case study: the city of Oslo's smart street lighting project
 4.2.5. Case study: Geneva's smart waste management project
 4.3. Public safety and homeland security
 4.3.1. The value-added of smart public safety services
 4.3.2. Value chain
 4.3.3. Business model
 4.3.4. Case study: Mexico's centralised smart public safety system
 4.3.5. Case study: London's pedestrian detection system
 4.4. Smart grid & smart metering
 4.4.1. Value-added of smart grid and smart metering services
 4.4.2. Value chain
 4.4.3. Business model
 4.4.4. Case study: the Nice Grid project, combining renewable energy and smart metering
 4.4.5. Case study: Yokohama Smart City Project
 4.4.6. Case study: actions geared to improving the yield of water distribution networks

5. Market analysis and outlook
 5.1. The smart city value chain
 5.2. Recommendations
 5.3. Quantitative market analysis
 5.3.1. Installed base of connected objects in the city
 5.3.2. Geographical distribution
 5.3.3. Distribution by application
 5.4. Smart city market development outlook



Report's tables and figures

Tables

Table 1: Field of application for sensors by smart city vertical sector
Table 2: Physical pros and cons of each frequency band
Table 3: Technologies adopted by a selection of major telcos
Table 4: Features of the different IoT applications for 5G
Table 5: Technical properties of the different IoT network technologies
Table 6: Using digital technologies and the IoT for environmental applications

Figures

Figure 1: The Smart City's vertical sectors
Figure 2: Evolution of sensor sizes
Figure 3: Pros and cons of the different sensor solutions
Figure 4: Complete detection sensor for monitoring traffic
Figure 5: Images taken from a sensor using thermal imaging
Figure 6: Water level sensors using different low-power communication protocols
Figure 7: Example of certain ISM and restrictions
Figure 8: How the main LPWA technologies are positioned
Figure 9: Bouygues Telecom's LoRa network in France: coverage and deployment
Figure 10: Features of LTE 0 and LTE M
Figure 11: LTE/MTC standardisation roadmap
Figure 12: Roadmap for the introduction of the different IoT cellular technologies
Figure 13: Example of a big data application for the smart city
Figure 14: The Sentilo platform
Figure 15: Map of managed sensors in Barcelona
Figure 16: The different intelligent transport systems (ITS)
Figure 17: 70 French smart mobility start-ups
Figure 18: Smart mobility services value chain
Figure 19: Screenshot from SFPark.org that allows users to locate available parking
Figure 20: The Optimod'Lyon application for individual users
Figure 21: Self-driving electric taxi from nuTonomy in Singapore
Figure 22: Aerial view of Mcity
Figure 23: Self-driving electric minibus made by Navya
Figure 24: What will be measured by the "Array of Things" initiative in Chicago
Figure 25: Example of using a street lighting network to connect other equipment
Figure 26: Example of a waste collection solution based on fill level sensors
Figure 27: Example of an air pollution sensor on a street light, and a mobile app for delivering the data
Figure 28: Value chain for smart environmental services
Figure 29: Countries taking part in the European E-Street intelligent road and street lighting project
Figure 30: Receptacle management interface with fill level indicator
Figure 31: France's video surveillance market
Figure 32: Value chain for smart public safety services
Figure 33: Mexico City's centralised public safety system
Figure 34: Diagram of the SCOOT system deployed in London
Figure 35: Functionalities enabled on the entire smart grid distribution chain
Figure 36: Smart Grid services value chain
Figure 37: How the Nice Grid platform works
Figure 38: The different applications deployed in Yokohama as part of its Smart City Project
Figure 39: The smart city market's overall value chain
Figure 40: Connected objects installed in smart cities around the world, 2015-2021
Figure 41: CAGR for connected objects by vertical sector, 2016-2021
Figure 42: Number of connected objects deployed by region, 2015-2021
Figure 43: Number of environment-related connected objects deployed by region, 2015-2021
Figure 44: Number of public safety-related connected objects deployed by region, 2015-2021
Figure 45: Number of energy-related connected objects deployed by region, 2015-2021
Figure 46: Number of mobility-related connected objects deployed by region, 2015-2021
 

Slideshow contents

1. Urban IoT technologies
 • Rollout arguments and fields of application for connected objects in the smart city
 • Growing use of LPWA networks in a connectivity landscape still dominated by GPRS
 • Processing and storing urban data

2. The Internet of Things in the four vertical smart city markets
 • Rethinking urban mobility
 • A more carefully managed urban environment
 • Meeting a societal demand for a safe and secure urban space
 • More sustainable cities

3. Market outlook

4. The issue of business models
 

 

 

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プレスリリース

[プレスリリース原文]

Trust is key to the success of smart cities


Philippe Baudouin,
Head of Smart City Practice, IDATE DigiWorld

The prospects opened up by the smart city are rooted in a more intense use of digital technologies in the multiple components that make up the urban ecosystem: transport, security, network management, environmental management, waste management, transforming commerce, tourism, relations with government services, etc.


20/12/2016

It is well understood that smart city projects can only develop successfully if the applications are relevant (useful and accepted) and if they are gradually interwoven with a cross-cutting momentum on a city-wide scale.

Beyond that, the success of these initiatives will depend in large part on users’ trust in the digital infrastructure and services on offer, along with the project’s ability to mobilise all of the urban ecosystem’s stakeholders. Taking proper account of these prerequisites must be central to governing any smart city project.

 

How to persuade users of the benefits of smart city projects?
 

◦How to exploit the full potential of participatory democracy (civil tech) when running a smart city project?
◦How can open data help strengthen trust in smart cities?
◦How to prevent a smart city project from becoming just a juxtaposition of separate initiatives, bereft of synergies?
◦How to talk about the risks of cybersecurity in a smart city project?
◦What process needs to be in place to ensure the development of a resilient smart city?

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