[HTML][HTML] Social media data: Challenges, opportunities and limitations in urban studies

P Martí, L Serrano-Estrada… - … , Environment and Urban …, 2019 - Elsevier
Analysing the city through data retrieved from Location Based Social Networks (LBSNs) has
received considerable attention as a promising method for applied research. However, the …

[HTML][HTML] From intangible to tangible: The role of big data and machine learning in walkability studies

J Yang, P Fricker, A Jung - Computers, Environment and Urban Systems, 2024 - Elsevier
Walkability reflects the well-being of a city, and its measurement is evolving rapidly due to
advancements of big data and machine learning technologies. The study examines the …

The death and life of great Italian cities: a mobile phone data perspective

M De Nadai, J Staiano, R Larcher, N Sebe… - Proceedings of the 25th …, 2016 - dl.acm.org
The Death and Life of Great American Cities was written in 1961 and is now one of the most
influential book in city planning. In it, Jane Jacobs proposed four conditions that promote life …

Smelly maps: the digital life of urban smellscapes

D Quercia, R Schifanella, LM Aiello… - Proceedings of the …, 2015 - ojs.aaai.org
Smell has a huge influence over how we perceive places. Despite its importance, smell has
been crucially overlooked by urban planners and scientists alike, not least because it is …

Chatty maps: constructing sound maps of urban areas from social media data

LM Aiello, R Schifanella… - Royal Society open …, 2016 - royalsocietypublishing.org
Urban sound has a huge influence over how we perceive places. Yet, city planning is
concerned mainly with noise, simply because annoying sounds come to the attention of city …

[HTML][HTML] Opening alternative data imaginaries in urban studies: Unfolding COVID place attachments through Instagram photos and computational visual methods

S Burgos-Thorsen, AK Munk - Cities, 2023 - Elsevier
Planners, policy makers, and scholars are increasingly using social media data to study
public life in cities. Yet, such projects tend to be limited by three commitments that shape the …

[HTML][HTML] A geographic data science framework for the functional and contextual analysis of human dynamics within global cities

A Calafiore, G Palmer, S Comber, D Arribas-Bel… - … Environment and Urban …, 2021 - Elsevier
This study develops a Geographic Data Science framework that transforms the Foursquare
check-in locations and user origin-destination flows data into knowledge about the emerging …

Assessment of perceived and physical walkability using street view images and deep learning technology

Y Kang, J Kim, J Park, J Lee - ISPRS International Journal of Geo …, 2023 - mdpi.com
As neighborhood walkability has gradually become an important topic in various fields,
many cities around the world are promoting an eco-friendly and people-centered walking …

Walkability assessment and tourism cities: the case of Venice

A Gorrini, V Bertini - International Journal of Tourism Cities, 2018 - emerald.com
Purpose The purpose of this paper is to propose a systematic review of the contributions
present in the literature about walkability. This is aimed at defining a set of criteria and …

DeepCity: A feature learning framework for mining location check-ins

J Pang, Y Zhang - Proceedings of the International AAAI Conference on …, 2017 - ojs.aaai.org
Online social networks being extended to geographical space has resulted in large amount
of user check-in data. Understanding check-ins can help to build appealing applications …