Developing the Most Significant and Suitable Smart City Indicators - - PowerPoint PPT Presentation

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Developing the Most Significant and Suitable Smart City Indicators - - PowerPoint PPT Presentation

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Developing the Most Significant and Suitable Smart City Indicators for Smart City Pilot in Knowledge Oasis Muscat (KOM), Sultanate of Oman Shaima Al Mahrooqi Government Fellow| UNU-EGOV Agenda Agenda List Introduction Smart City Pilot

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Developing the Most Significant and Suitable Smart City Indicators for Smart City Pilot in Knowledge Oasis Muscat (KOM), Sultanate of Oman

Shaima Al Mahrooqi Government Fellow| UNU-EGOV

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Presentation Title Guimarães | 11 December 2019 | 2

Agenda Agenda List

  • Introduction
  • Smart City Pilot in Knowledge Oasis Muscat (KOM)
  • Measurement Tool Selection
  • Background to the Indicator Selection
  • Methodological Approach
  • Findings and Results
  • Conclusion
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Before we Start!

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Before we Start!

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Introduction

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Smart City Pilot in Knowledge Oasis Muscat (KOM)

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Smart City Pilot in Knowledge Oasis Muscat (KOM) Smart City Pilot Project

  • National project to transforming Knowledge

Oasis/Muscat into a Smart City

  • Cooperation with a distinguished group of

stockholders and Omani innovators

  • To showcase the advantage of using fourth

industrial revolution technology and develop national strategy for smart city and smart infrastructure

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Why Knowledge Oasis Muscat (KOM)

  • Unique Area
  • High collaboration
  • Challenges the area is suffering
  • People Crowed
  • Parking Spaces
  • Waste Management
  • Utility Management
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Smart City Pilot Scope

  • Smart Parking Features:
  • Poor parked vehicle (PPV)
  • Real-time Parking
  • Occupancy Availability
  • Real-time turnover information Parking Guidance
  • Parking Enforcement
  • Parking Policy setting:
  • Overstay violation
  • No-parking zone
  • Loading zone violations
  • Reports and Administration:
  • Occupancy, revenue, enforcement reports
  • Events, Polices and Actions management
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Smart City Pilot Scope

  • Smart Lighting Features:
  • Enhanced Scheduling
  • Fault Model & Power Meter parameters
  • Dynamic profile (ambient, daylight harvesting, motion sensing)
  • Group light control
  • Lighting Control:
  • ON/OFF
  • Dimming Percentage
  • Energy Use
  • Power Status
  • Physical Map of Lights
  • Reports and Administration:
  • Energy Usage Reports
  • Asset Reporting
  • Schedule Definition – time based schedule
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Smart City Pilot Scope

  • Smart Traffic Management Features :
  • Traffic Vehicle count
  • Vehicle classification
  • Vehicle direction
  • Distribution of Incidents
  • Incident management
  • Traffic
  • Vehicle
  • Crowd Associated device dwell time

and count

  • All Device dwell time and count
  • Pedestrian, Vehicle count
  • Dwell time,
  • Crowd Heat map Motion sensing
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Smart City Pilot Scope

  • Safety and Security Features :
  • Incidents, Situation and Response
  • Direction Controller
  • Command and Controller
  • Distribution of Incidents
  • Over Crowding Analysis
  • Alert
  • Intrusion/Object detection
  • License Plate Recognition
  • Facial Recognition
  • Slip and Fall Detection
  • Fire and Smoke
  • Loitering
  • Queue Alert
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Smart City Pilot Scope

  • Smart Waste Management Features :
  • Bin Fill Level Monitoring
  • Bin Overflow Alert
  • Fire Alert
  • Optimize collection route
  • Reduce operational cost
  • Tracking of Garbage Trucks
  • Reports
  • Fill Level Trend
  • Temperature Trend
  • Origin Definition analysis
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Smart City Pilot Scope

  • Environment Features :
  • Air Quality Index (AQI)
  • Color Code
  • Remark
  • Customizable Settings for equations, colors from Dashboard

(Settings available in 4.0 for operators)

  • Provider based heat map visualization
  • Mobile Air Pollution Sensing
  • Structural/Vibration Monitoring
  • Fixed Air Quality Sensing
  • Units Normalization
  • Pollution Playback in dashboard to view playback
  • Reports
  • Air Pollution Reports
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Selecting the Most Suitable Indicators

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Why we need measuring tools

  • Monitor and evaluate the pilot progress performance overtime
  • Set targets
  • Identify challenges
  • Provide recommendation for improvement
  • Formulate concrete policies and framework

Measuring Tools

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Measuring Tools Selection

Indicators

Nature of the indicators and transparency Where they

  • riginate

The purpose from creating the indicators What they measure Who is able to use them

The Pilot

Strategic objective

  • f implementing

the pilot Phase in pilot development The spatial scale of the pilot The time scale of the pilot The purpose of the assessment

The selection of the tools were based on the following aspects.

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Key performance indicators Background - Standard Indicators

  • Seven international & regional standards indicators
  • Four different sources ( ISO, ITU, ETSI and UN Habitat)
  • A total of 410 indicators were reviewed and analyzed

Name Description #

  • f Indicators

ISO 37122:2019 Sustainable development in communities-indicators for Smart cities 82 ISO 37120:2018a Sustainable development of communities –indicators for city services and quality of life 104 ETSI TS 103 463: 2017a Key performance indicators for sustainable digital multi service cites 76

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Background - Standard Indicators

Name Description #

  • f Indicators

ITU 4901: 2016b Key performance indicators related to the use of information and communication technology in Smart sustainable cities 48 ITU 4902: 2016c Key performance indicators related to the sustainability impacts of information and communication technology in Smart sustainable cities 30 ITU 4903: 2016d Key performance indicators for Smart sustainable cities to assess the achievement of sustainable development goals 52 UN SDG 11+ Montering framework (UN-habitat etal.,2016) 18 Total 410

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  • Each indicators should have a strong link to the subthemes of the framework

and should have a significant importance for the evaluation process. Relevance

  • The definitions of the indicators should be clear.
  • The calculation methods behinds the indicators.
  • Guidance on how to be applied.

Reliability

  • Data for the indicators should be easily available, or easy to collect.

Data Availability

  • The indicators should be capable of being measured ( Quantitative, Qualitative

and descriptive ). Measurability

Background - Acceptance Criteria

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  • Alignment of the indicators with the rationale behind implementing the smart

city pilot and the purpose of the assessment. Alignment

  • The set of indicators should be defined in a way that data can be compared

between different phases of urban development. Comparability

  • The indicators should be easy to understand by the users.

Familiarity

  • Indicators within a framework should not measure the same aspect of a

subtheme.

Non Redundancy

Background - Acceptance Criteria

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Background - Indicator Classification

  • Taxonomy for indicator analysis
  • Huovila, Bosch & Airaksinen
  • Comparative analysis of standardized

indicators for Smart sustainable cities: What indicators and standards to use and when?

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Background - Indicator Classification

  • Urban Focus
  • Balance of Sustainability & Smartness
  • City Dimension
  • Environment Dimension (air Quality, energy, waste, and water)
  • Quality of Life Dimension (safety and security, public services like

parking app, and public transportation)

  • Infrastructure Dimension ( Urban mobility)
  • Indicator Type
  • Balance of input, process, output, outcome and impact indicators
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Methodological Approach

Step 5

  • Indicators with the

total of 8 scores will be selected

Step 4

  • Score indicator

based on its alignment to the acceptance criteria

Step3

  • Classify indicators

with the three aspects

Step 2

  • Identify the

acceptance criteria

Step 1

  • Identify best

standard indicators

Indicators analyses and scoring

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Findings

410

Indicators were reviewed and analyzed

236

Indicators cover the environment, quality of life, and infrastructure dimensions

88

Indicators focus on achieving sustainability and smartness

  • bjectives
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Results

A total of 31 indicators are suitable for the pilot 4 primary sources are ISO 37122, ISO 37120, ETSI TS 103 463, and ITU 4903 ISO 37122 and ITU 4903 are more appropriate standards ITU 4902, ITU 4901 and UN SDG 11+ were excluded from the report

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Results

  • 55% of the indicators are coming from ISO 37122 standard and 26% from

ITU 4903 and followed by ETSI with 13% and ISO 37120 with 6%.

ISO 37122 ISO 37120 ETSI ITU 4903 % 55% 6% 13% 26% Indicatores 17 2 4 8 17 2 4 8 55% 6% 1… 2… 5 10 15 20

Indicators Distribution by Standard

Indicatores %

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Results

  • 45% of the indicators are covering the environment dimension, 36%

quality of life dimension, and 19 % urban mobility.

Environment Dimension Quality of life Dimension Urban Mobility Dimension % 45% 36% 19% # of indicatores 14 11 6 14 11 6 45% 36% 19% 2 4 6 8 10 12 14 16

Indicators Distribution by City Sector

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Results

Input Process Output Outcome Impact Persentage 0% 6% 36% 52% 6% 0% 6% 36% 52% 6% 0% 10% 20% 30% 40% 50% 60%

Indicator Typology Distribution

  • 52% of the indicators are outcome indicators, 36% are output indicators.

Both impact and process indicators represent only 6% and with no input indicators 0%.

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Results

Air Quality Energy Waste Water Security and Safty Transportation Urban Mobility Input Process 1 1 Output 2 4 1 2 1 1 Outcome 1 2 3 1 5 4 Impact 1 1 1 1 2 4 1 2 1 1 1 2 3 1 5 4 1 1 1 2 3 4 5 6

Indicators Typology Distribution by City Aspect

Input Process Output Outcome Impact

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Conclusion

  • The result partially fulfills the purpose of this report.
  • Study on-going
  • Create balance in the existing framework ( input &

process indicators)

  • Uncertainty about data availability
  • Guidance for other entities

Indicators for smart city pilot

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Thank you.

SHAIMA AL MAHROOQI Shaima.almahrooqi@ita.gov.om