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- Data for: Transportation vs. Public Service: Understanding Residential Location Choice Using Emergy Synthesis of Local Governments in Pennsylvania State Infrastructure Assembly Emergy UEVs
- Data for: Monitoring and Modeling of Spatio-Temporal Urban Growth of Delhi, India using Cellular Automata and GeoinformaticsAll the raster layers used in the study "Monitoring and Modeling of Spatio-Temporal Urban Growth of Delhi, India using Cellular Automata and Geoinformatics" have been shared as GeoTIFF files. The Python script used in the study is also shared.
- Population, density, GDP, and census travel to work attributes of Indian citiesThe spreadsheet consists of multiple attributes of case study cities.
- Data for: Dynamics of development of the largest cities - evidence from Poland1. Data on the number of population in the largest cities in Poland and neighboring municipalities in the years 2002-2016 2. Data on the surface of a flat per person in the largest cities in Poland and neighboring municipalities in the years 2002-2016
- Data for: Green infrastructure for sustainable urban water management: Practices of five forerunner citiesThe document is a list of potential cities for case selection of forerunners on sustainable urban water management.
- Data for: Credibility and functionality of Israeli Bedouin municipalities: Gray governance in state and customary lawThis is a data sheet that we use as part of Interpretative analysis of interviews that we had conducted with local residents and officials.
- Data for: The Big Picture of Cities: Analysing Flickr Photos of 222 Cities Worldwide Using Machine LearningThe scope of the dataset is 222 cities in the Mercer’s quality of living (QoL) ranking 2019. The photos were retrieved from Flickr.com. To detect the objects and features of every photo, the authors used Google Cloud Vision, which is a recent technology that collects, analyses, and extracts information from visual images. All photos of the 222 cities were processed to detect their labels. The authors conducted latent Dirichlet allocation (LDA) modelling, which is the most common feature extraction or topic modelling algorithm in machine learning. Each photo was assigned the city image dimension including cityscape, landscape, architecture, transport, and recreation. The table shows (1) the identification number of the city ordered by the Mercer’s QoL Ranking (2) the name of the photo file from 1-1,000, (3) the concatenated label of each photo, (4) the number of labels, (5) the Flickr ID of the photo, (6) the owner ID, (7) the type of license, (8) the date that the photo was taken, (9) view count, (10) latitude, (11) longitude, (12) LDA results, (13) the city image dimension.
- Data for: Reflexion of citizens’ needs in city strategies: The case study of selected cities of Visegrad group countries Summary of city strategies of eight cities of Visegrad group countries.
- Data for: Green infrastructure for sustainable urban water management: Practices of five forerunner citiesSupplementary Material 2: This is an online questionnaire conducted with relevant city managers, for investigating the role of green infrastructure in urban water management of their cities.
- Data for: Crime Prevention in Urban Spaces through Environmental Design: A New Critical UK Perspective In this study: Supplementary Material 1 contains the questionnaire survey. Supplementary Material 2 contains the audit checklist. Supplementary Material 3 contains the themes emerged from interviews.
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