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Smart Cities: Connected Public Spaces

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¹ßÇàÀÏ 2019³â 12¿ù »óǰ ÄÚµå 919270
ÆäÀÌÁö Á¤º¸ ¿µ¹® 170 Pages
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½º¸¶Æ® ½ÃƼ : Ä¿³ØÆ¼µå °ø°øÀå¼Ò Smart Cities: Connected Public Spaces
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KSM 20.01.07

This study investigates major application areas for connected public spaces including smart street lighting, smart parking, smart waste collection and smart city surveillance. By the end of 2018, the global installed base of individually controlled smart street lights amounted to 10.4 million units. There were at the same time 1.1 million smart ground parking sensors installed globally. The market for smart waste sensor technology is yet at an early stage, comprising some 379,000 connected collection points globally. The smart city surveillance equipment market was worth € 6.5 billion in 2018. Get up to date with the latest information about vendors, products and markets.

Table of Contents

Table of Contents

List of Figures

Executive summary

1. Introduction

  • 1.1. The global trend of urbanisation
    • 1.1.1. Regional differences in urbanisation
  • 1.2. Smart cities and connected public spaces
    • 1.2.1. Smart city architecture
    • 1.2.2. The management of public spaces
  • 1.3. IoT network technologies
    • 1.3.1. Network architectures
    • 1.3.2. Unlicensed and licensed frequency bands
    • 1.3.3. The role of wired and wireless networks for connected public spaces
  • 1.4. Wireless IoT communication technologies
    • 1.4.1. 3GPP cellular technologies
    • 1.4.1. 3GPP-based LPWA
    • 1.4.2. Non 3GPP-based LPWA
    • 1.4.3. RF and IEEE 802.15.4

2. Smart street lighting

  • 2.1. The transition to LED and adaptive lighting
  • 2.2. Smart street lighting
    • 2.2.1. Smart street lighting infrastructure
  • 2.3. Market analysis
    • 2.3.1. Market forecasts
    • 2.3.2. Industry analysis
    • 2.3.3. The new era of competition within smart street lighting
  • 2.4. Company profiles
    • 2.4.1. Acuity Brands
    • 2.4.2. CIMCON Lighting
    • 2.4.3. DimOnOff
    • 2.4.4. Flashnet (Engie)
    • 2.4.5. GE Current, a Daintree Company
    • 2.4.6. Itron
    • 2.4.7. LED Roadway Lighting
    • 2.4.8. Lucy Zodion
    • 2.4.9. Reverberi Enetec
    • 2.4.10. Rongwen Energy Technology Group
    • 2.4.11. Schréder
    • 2.4.12. Sensus (Xylem)
    • 2.4.13. Signify
    • 2.4.14. SSE
    • 2.4.15. Telematics Wireless (ST Engineering)
    • 2.4.16. Telensa
    • 2.4.17. Chinese domestic vendors

3. Smart parking

  • 3.1. Urban traffic and parking
    • 3.1.1. Passenger cars in use by region
    • 3.1.2. Traffic congestion and parking inefficiencies
    • 3.1.3. Types of parking and asset ownership
  • 3.2. Smart parking
    • 3.2.1. Smart parking infrastructure
  • 3.3. Parking space occupancy monitoring
    • 3.3.1. Global occupancy level monitoring
    • 3.3.2. Single space occupancy detection
  • 3.4. Market analysis
    • 3.4.1. Market forecasts
    • 3.4.2. Industry analysis
    • 3.4.3. The foreshadowing threat from camera-based solutions
  • 3.5. Company profiles
    • 3.5.1. CivicSmart
    • 3.5.2. CommuniThings
    • 3.5.3. Fangle Technology
    • 3.5.4. Frogparking
    • 3.5.5. Fybr
    • 3.5.6. Nedap
    • 3.5.7. Nwave Technologies
    • 3.5.8. Onesitu (Circet)
    • 3.5.9. PNI
    • 3.5.10. Smart Parking
    • 3.5.11. SmartGrains
    • 3.5.12. Streetline (Kapsch Group)
    • 3.5.13. Urbiotica
    • 3.5.14. Worldsensing

4. Smart waste collection

  • 4.1. Global waste generation and management
  • 4.2. Smart waste sensors
    • 4.2.1. Smart waste collection infrastructure
  • 4.3. Market analysis
    • 4.3.1. Market forecasts
    • 4.3.2. Industry analysis
    • 4.3.3. LPWA to improve the business case for smart waste sensors
  • 4.4. Company profiles
    • 4.4.1. BH Technologies
    • 4.4.2. Bigbelly
    • 4.4.3. Compology
    • 4.4.4. Dingtek Technology
    • 4.4.5. Ecube Labs
    • 4.4.6. Enevo
    • 4.4.7. Evreka
    • 4.4.8. FarSite Communications
    • 4.4.9. Nordsense
    • 4.4.10. OnePlus Systems
    • 4.4.11. SAYME
    • 4.4.12. Sensoneo
    • 4.4.13. SigrenEa (SUEZ)
    • 4.4.14. Waste Vision

5. Smart city surveillance

  • 5.1. Issues of public safety
    • 5.1.1. Criminal activities and terrorist threats
  • 5.2. Smart city surveillance
    • 5.2.1. Fixed video surveillance infrastructure
    • 5.2.2. Body-worn cameras (BWCs) for law enforcement
    • 5.2.3. Gunshot detection and localisation systems
  • 5.3. Market analysis
    • 5.3.1. Market forecasts
    • 5.3.2. Industry analysis
    • 5.3.3. Western vendors turn to new strategies to mitigate Chinese AI advantage
  • 5.4. Company profiles
    • 5.4.1. Axis Communications (Canon)
    • 5.4.2. Dahua Technology
    • 5.4.3. Hanwha Techwin
    • 5.4.4. Hikvision
    • 5.4.5. Honeywell
    • 5.4.6. Infinova
    • 5.4.7. Motorola Solutions
    • 5.4.8. Panasonic i-PRO Sensing Solutions
    • 5.4.9. Tiandy Technologies
    • 5.4.10. Uniview Technologies
    • 5.4.11. Axon
    • 5.4.12. WCCTV
    • 5.4.13. ShotSpotter
  • Glossary

List of Figures

  • Figure 1.1: Urban population, % of total (World 1960-2018)
  • Figure 1.2: Number of major cities worldwide
  • Figure 1.3: Countries with the largest number of major cities (World 2018)
  • Figure 1.4: Connected public spaces
  • Figure 1.5: Unlicensed and reserved radio frequencies available for wireless IoT
  • Figure 1.6: Comparison of LTE MTC enhancements in 3GPP Release 14
  • Figure 1.7: LTE-M network availability (Q4-2018)
  • Figure 1.8: NB-IoT network availability (Q4-2018)
  • Figure 1.9: Public LoRaWAN network operators (World Q4-2018)
  • Figure 1.10: Sigfox network operators by country (Q1-2019)
  • Figure 2.1: Dimmable luminaire with external LCU
  • Figure 2.2: Members of the TALQ Consortium
  • Figure 2.3: Smart street lighting LCU shipments and installed base (World 2018-2023)
  • Figure 2.4: Installed base by communications technology (World 2018-2023)
  • Figure 2.5: Top-12 smart street lighting LCU vendors (World Q3-2019)
  • Figure 2.6: Vendor market shares (World Q3-2019)
  • Figure 2.7: CIMCON Lighting NearSky 360
  • Figure 2.8: Flashnet inteliLIGHT Zhaga and NEMA socket LCUs
  • Figure 2.9: LED Roadway Lighting Tool-less Sensor Platform
  • Figure 2.10: The new Lucy Zodion Ki. Node One LCU
  • Figure 2.11: Signify CityTouch NEMA socket LCU
  • Figure 3.1: Car parc by region (World 2009-2017)
  • Figure 3.2: Passenger car density per 1,000 inhabitants (EU28 2017)
  • Figure 3.3: Driving time spent in congestion per capita (World excluding Asia 2018)
  • Figure 3.4: Time and costs associated with the search for parking (US 2017)
  • Figure 3.5: In-ground and surface-mount parking occupancy detection sensors
  • Figure 3.6: Smart ground parking sensor comparison
  • Figure 3.7: Smart parking sensor shipments and installed base (World 2018-2023)
  • Figure 3.8: Installed base by communication technology (World 2018-2023)
  • Figure 3.9: Top-10 smart ground parking sensor vendors (World Q3-2019)
  • Figure 3.10: Vendor market shares (World Q3-2019)
  • Figure 3.11: Fybr Parking Sensor III & Parking Genius guidance & payment app
  • Figure 3.12: Nedap SENSIT surface- and flush-mount sensors
  • Figure 3.13: PNI PlacePod in-ground and surface-mount sensors
  • Figure 3.14: SmartGrains surface-mount sensor
  • Figure 4.1: Global waste generation and collection statistics
  • Figure 4.2: Examples of smart waste sensors
  • Figure 4.3: Ecube Labs waste management software CleanCityNetworks
  • Figure 4.4: Smart waste sensor shipments and installed base (World 2018-2023)
  • Figure 4.5: Smart waste sensors by communications technology (World 2018-2023)
  • Figure 4.6: Top-11 smart waste sensor technology vendors (World Q3-2019)
  • Figure 4.7: Vendor market shares (World Q3-2019)
  • Figure 4.8: Bigbelly's SC5.5 and HC5 smart bins
  • Figure 4.9: Compology's camera sensor
  • Figure 4.10: CleanFLEX fill-level sensor and CleanCUBE smart bins
  • Figure 4.11: Enevo's smart fill-level sensor
  • Figure 4.12: FarSite Communications netBin nPod sensor
  • Figure 4.13: Sensoneo route planning dashboard
  • Figure 5.1: Crime rates per 100,000 inhabitants (US & EU 2017
  • Figure 5.2: Number of deaths from terrorism (World 1995-2018)
  • Figure 5.3: Common network surveillance camera types
  • Figure 5.4: Body-worn camera with integrated cellular connectivity
  • Figure 5.5: Urban gunshot detection sensor system
  • Figure 5.6: Smart city surveillance equipment value forecast (World 2018-2023)
  • Figure 5.7: Smart city surveillance vendor data (World FY2018)
  • Figure 5.8: Mergers and acquisitions among video surveillance vendors
  • Figure 5.9: Dahua multi-sensor panoramic/PTZ + AI bullet network cameras
  • Figure 5.10: Wisenet SSM video management software
  • Figure 5.11: Avigilon H4 Multisensor camera with self-learning video analytics
  • Figure 5.12: Axon Body 3
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