Smart Cities 7 Dimensions Scenario Planning

Smart city

  • definition
    • a crowd-sourced innovation concept that came out of IBM’s Innovation Jams
    • a city full of smart, innovative, creative knowledge workers in a area similar to Silicon Valley
    • a sustainable “greener” city
    • a densely populated urban environment with ubiquitous and pervasive computing technology infrastructure
    • cities that use advanced IT and mobile technology to solve urban problems
    • cities that use AI Data-driven Smart Cloud SaaS government services and IoT infrastructure
  • major growth
  • unprecedented scale of urban problems
    • traffic
    • pollution
    • overcrowding
    • infrastructure breakdowns
    • emergency and disaster prevention

7 dimensions

  • overview
    • smart economy (SE)
    • smart people (SP)
    • smart governance (SG)
    • smart mobility (SM)
    • smart environment (SN)
    • smart living (SL)
    • smart disaster management (SDM)
  • details

Scenario planning

  • step 1 - build from scratch
    • what are the top 3 things you like
    • don’t like or key areas you find missing in the picture
    • how will the covid-19 pandemic change this 2030 future scenario
  • step 2 - take the list you wrote in step 1 and add the smart city dimension by letter
    • example
  • step 3 - determine the details
    • which dimensions are priorities for you
      • example
    • look back at the above table to get ideas on the ways in which your smart city smartphone app can improve dimensions with integrated IT and IoT technology
      • example

Internet of Things M2M Networks Smartphones

Overview

  • background
    • we have experienced the exponential growth of networked devices, products and services due to network effects
  • what could you connect in this industry
    • home (consumer)
    • transport (mobility)
    • health (body)
    • buildings (infrastructure)
    • cities (industry)
  • big data and networked real-time systems
    • reason
  • some details
    • smart mobility (SM)
    • smart healthcare & smart home (SG + SL)
    • smart environment via smart buildings (SN)
    • smart living and environment (SL + SN)
    • smart living food tracing QR code (SL)

Smart cities: a complex system

  • crowdsensing and crowdsourcing with smartphone apps could enable individuals to contribute to and benefit from improving their cities

The Smart Cities' Examples

2018 AI and smart cities in China

  • Hangzhou “city brain”
    • 2016 Alibaba -> 128 intersections, emergency support
    • Zhang Yijang, China’s first AI-partnered traffic policeman
  • cloud platforms/smart parking in Shanghai
    • 7m users have 100 government services
    • data exchange platform where companies purchase “open” data
    • Huawei has embedded chips in parking spaces of 300 parking los
  • cashless in Beijing with Huawei pay in 2017
  • Guangzhou — regional health app and digital education city
  • Xian — rural to urban migration and public service provisioning

Utopia or dystopia

  • details
    • linggang Shenzhen -> 7000 cameras -> theft & robbery cases halved
    • jaywalking in Shenzhen -> public embarrassment & repeat offenders
    • social credit—reward high scores, financial inclusion vs black mirror
    • Europe privacy concerns -> policymakers w. memories of WWII
    • system engineering — engineering complex systems, crowds, communities

Additional Reading