Smart Urban Metabolism: A Big-Data and Machine Learning Perspective

Ruchira Ghosh and Dipankar Sengupta 2023. Smart Urban Metabolism: A Big-Data and Machine Learning Perspective. in: Urban Metabolism and Climate Change Springer. pp. 325–344

Chapter titleSmart Urban Metabolism: A Big-Data and Machine Learning Perspective
AuthorsRuchira Ghosh and Dipankar Sengupta
Abstract

Smart urban metabolism is a contemporary conception of urban metabolism which includes modern-day technologies dealing with the complex challenges of growing smart cities. Traditionally, urban metabolism deals with the influx-efflux of energy and flow of materials through urban space. However, with the growing needs of smart cities, these flow patterns are transiting as a complex network and are subject to interdisciplinary understanding. Furthermore, data availability is a major challenge faced by city planners due to the lack of data inventories and appropriate data management solutions to handle massive datasets, arising from these complex flow patterns. This is ensuing to inefficient adaptation of urban metabolism approaches, especially in developing economies. Thus, the situation remains grave when it comes to resource management of a smart city, and how urban areas may additionally deal with intricate issues like climate change when they are striving to understand their own material and energy cycling. In this chapter, we therefore, discuss how technologies like machine learning can equip urban metabolism, for its transition to “Smart Urban Metabolism.” The chapter presents use of technologies like big-data and machine learning, as effective methodologies to channelize and manage heterogeneous multidimensional datasets, adoption of practices, developing self-learning machine learning models, and gain novel insights via predictive analytics, in “Smart Urban Metabolism.” Precisely, for urban planners, the “Smart Urban Metabolism” can potentially be an effective approach for identifying complex issues in the flow patterns of energy and material in an urban space. This approach is a step toward sustainable city development.

Book titleUrban Metabolism and Climate Change
Page range325–344
Year2023
PublisherSpringer
Publication dates
Published23 May 2023
ISBN9783031294211
9783031294228
9783031294242
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-031-29422-8_16

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