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Intelligence for Future Cities: Planning Through Big Data and Urban Analytics de Robert Goodspeed

Intelligence for Future Cities: Planning Through Big Data and Urban Analytics: The Urban Book Series

Editat de Robert Goodspeed, Raja Sengupta, Marketta Kyttä, Christopher Pettit
en Limba Engleză Paperback – 4 iun 2024
This book contains a selection of the best papers presented at the Computational Urban Planning and Urban Management (CUPUM) conference, held in June 2023 at McGill University in Montreal, Quebec. Major themes of this book are smart cities, urban big data, and shared mobility. This book also contains chapters with cutting-edge research on urban modeling, walkability and bikeability analysis, and planning support systems (PSS).
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Specificații

ISBN-13: 9783031317484
ISBN-10: 3031317483
Pagini: 345
Ilustrații: XI, 345 p. 100 illus., 93 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția:2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria The Urban Book Series

Locul publicării:Cham, Switzerland

Cuprins

Introduction.- Part 1: Digital cities.- Hybrid smartness: Seeking a balance between top-down and bottom-up smart city approaches.- Interpreting the smart city through topic modelling.- The venue code: digital surveillance, spatial (re)organization, and infrastructural power during the COVID pandemic in China.- The platformization of public participation: Considerations for urban planners navigating new engagement tools.- Part 2: Mobility futures.- Shared micro-mobility: A panacea or a patch for our urban transport problems?- Understanding bikeability: Insight into the cycling–city relationship using massive dockless bike-sharing records in Beijing.- Disclosing the impact of micro-level environmental characteristics on dockless bikeshare trip volume: A case study of Ithaca.- A planning support system for boosting bikeability in Seoul.- Integrating big data and a travel survey to understand the gender gap in ride-hailing usage: evidence from Chengdu, China.- Urban airspace route planningfor advanced air mobility operations.- Part 3: Fine-scale urban analysis.- “Eyes on the Street”: Estimating natural surveillance along Amsterdam’s city streets using street-level imagery.- Automatic evaluation of street-level walkability based on computer vision techniques and urban big data: A case study of Kowloon West, Hong Kong.- Promoting sustainable travel through a web-based tourism support system.- Applying the Aurin walkability index at the metropolitan and local levels by sex and age in Australia.- Predicting urban heat island mitigation with random forest regression in Belgian cities.- A framework to probe the uncertainties in urban cellular automata modeling with multilevel density for the Wallonia region, Belgium.

Textul de pe ultima copertă

This book contains a selection of the best papers presented at the Computational Urban Planning and Urban Management (CUPUM) conference, held in June 2023 at McGill University in Montreal, Quebec. Major themes of this book are smart cities, urban big data, and shared mobility. This book also contains chapters with cutting-edge research on urban modeling, walkability and bikeability analysis, and planning support systems (PSS).

Caracteristici

Provides state-of-the-art research in the areas of smart cities, urban AI, mobility, and urban analytics Presents the best papers from a leading conference Covers a wide range of analysis methods in use in urban analytics today