E-grāmata: Intelligence for Future Cities: Planning Through Big Data and Urban Analytics

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 cyclingcity
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 Amsterdams 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.