19
Fahimeh Tabatabaei Fahimeh Tabatabaei Fahimeh Tabatabaei 1

Big data tools, techs & smart cities

Embed Size (px)

Citation preview

Page 1: Big data tools, techs & smart cities

Fahimeh TabatabaeiFahimeh Tabatabaei

Fahimeh Tabatabaei

1

Page 2: Big data tools, techs & smart cities

2Fahimeh Tabatabaei

Page 3: Big data tools, techs & smart cities

3

Fahimeh Tabatabaei

Page 4: Big data tools, techs & smart cities

4

Fahimeh Tabatabaei

Page 5: Big data tools, techs & smart cities

5Fahimeh Tabatabaei

Page 6: Big data tools, techs & smart cities

6

Fahimeh Tabatabaei

Page 7: Big data tools, techs & smart cities

7Fahimeh Tabatabaei

Page 8: Big data tools, techs & smart cities

8Fahimeh Tabatabaei

Page 9: Big data tools, techs & smart cities

9Fahimeh Tabatabaei

Page 10: Big data tools, techs & smart cities

10Fahimeh Tabatabaei

Page 11: Big data tools, techs & smart cities

11Fahimeh Tabatabaei

Page 12: Big data tools, techs & smart cities

12Fahimeh Tabatabaei

Page 13: Big data tools, techs & smart cities

Pike Research defines a smart city as “the integration of technology into a strategic approach to sustainability, citizen well-being, and economic development.” Viable smart city models thus should to be “multi-dimensional, encompassing different aspects of smartness and stressing the importance of integration and interaction across multiple domains” (Vilajonsa et al, 2013).

13Fahimeh Tabatabaei

Page 14: Big data tools, techs & smart cities

14

3-Approaches Characteristics

The top-down Smart City

Optimization through the Technology;Emphasis on having a control room;Focusing on providing an ICT-based integrated architecture to overview urban activities as well as the tools to automatically interact with infrastructures;Processes implications consists of the calculations, visualizations and predictions based on the gathered metrics;involvement of powerful privatecompanies;

The bottom-up Smart City

Focusing on the people ‘‘using’’ the city;Relying on large and small businesses or start-ups that aim to arouse innovation in a certain urban sector;Dismissing any form of top-down urbanization (Specially with the involvement of powerful private companies);

Fahimeh Tabatabaei

Page 15: Big data tools, techs & smart cities

15

The Smart City as a local

innovation platform

Looking at positive aspects of both views of top-down and bottom-top;Collaborative perspective to smart cities (Smart cities as a collaborative meeting place);Using the potential of all involved stakeholders;Considering to the Government as the intermediary, the enabler of interaction of multiple actors;

Smart Cities should capture creative and collaborative innovation through directly interactions between public bodies, private sectors and citizens in: Dealing with the next data flood, digital footprint and data trails (coming from use of linked open data, big data, IoT, sensor data etc.); Identifying and tackling new relational complexities between actors; Facing grand societal challenges in a local context (e.g. mobility, security, local and participatory governance etc.); Offering new and engaging experiences to citizens (Walravens, 2014).

Fahimeh Tabatabaei

Page 16: Big data tools, techs & smart cities

Developing IT infrastructures. Ramping up technologies and services that require large upfront investments. This might produce a new tertiary sector exploiting data generated in the existing

infrastructures, which will be used to offer new services to cities, utilities, and citizens.

16

Recent emergence of Cloud computing promises solutions to ICT challenges in Smart cities by facilitating Big data storage and delivering the capacity to process, visualize and analyze city data. Such an infrastructure level solution can also facilitate the decision makers in meetings by providing an integrated information processing infrastructure for variety of smart cities a applications to support decision making and urban governance.

Fahimeh Tabatabaei

Page 17: Big data tools, techs & smart cities

Big data concept has been used by US authorities to keep a track on terrorists. Monitoring and capturing everything a person does on internet, feeds from surveillance cameras, border sensors, capturing telephone and mobile communications, monitoring chat applications to keep a check on suspected persons. USA project ADVISE (Analysis, Dissemination, Visualization, Insight and Semantic Enhancement and PRISM are two such examples of use of Big Data for surveillance.

17

The telecommunications infrastructure is the basis for data generation, exchange data, flow data and their transport that provide intelligence to the city.

Open data coming from PA contains typically statistic information about the city (such as data on the population, accidents, flooding, votes, administrations, energy consumption, presences on museums, etc.), location of point of interests, POIs, on the territory (including, museums, tourism attractions, restaurants, shops, hotels, etc.), major GOV services, ambient data, weather status and forecast, changes in traffic rules for maintenance interventions, etc.

Fahimeh Tabatabaei

Page 18: Big data tools, techs & smart cities

18Fahimeh Tabatabaei

Page 19: Big data tools, techs & smart cities

19Fahimeh Tabatabaei