Incremental transformation of spatial intelligence from smart systems to sensorial infrastructures

ABSTRACT

In addition to the scalability of new computation technologies considering their potentials and limitations, recent applications of embedded computation ensure its possible uses in the scope of urban computing and policymaking strategies. This study examines methods of crowdsourcing with the aim of incremental transformation of the built environment through the experimental exploration of the traditional infrastructure of the Spice Bazaar in İstanbul using a bottom-up research approach. Thus, this study can be an overarching source of specifications and policymaking for the incremental transformation of the built environment. Accordingly, the agencies of participation and policymaking, the concern of usage and economics as well as technological potentials and limitations are considered as generative parameters. Smart grids and embedded computation in built environments are examined in addition to the utilization of traditional infrastructures for data acquisition and assessment. Under the scope of urban computing, this study evaluates associative learning and prediction models, as well as other sensorial technologies, connected devices, and new methods of computation.

KEYWORDS:

• Performance assessment
• learning
• technological performance
• policy measures
• embedded computation and smart grids
• urban informatics and computing

Acknowledgements

The author declares his own responsibility for sharing all the material and dataset that belong to his own archive by acknowledging the Communication Department of the Presidency of Turkish Republic with the investigation code of 2001103313; and the Great Municipality of İstanbul with the investigation code of 6319064 due to the particular COVID-19 conditions that do not enable further action on the site. The author also conveys his thanks to the Great Municipality of İstanbul for the public share of the city views of the infrastructure of Spice Bazaar.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This research has been carried out as the extensive research of the project ‘Archi-learn Online’ as a part of the research assistantship studies funded by and conducted in the Middle East Technical University.