4.5 Article

Actionable descriptors of spatiotemporal urban dynamics from large-scale mobile data: A case study in Lisbon city

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Detecting Multi-Density Urban Hotspots in a Smart City: Approaches, Challenges and Applications

Eugenio Cesario et al.

Summary: With the increasing use of sensing networks and scanning devices in cities, large amounts of geo-referenced urban data are collected daily. This data is analyzed to discover data-driven models that can address major urban issues. Classic density-based clustering algorithms may produce inaccurate results on multi-density data, making multi-density clustering algorithms more appropriate for discovering city hotspots.

BIG DATA AND COGNITIVE COMPUTING (2023)

Article Engineering, Civil

Evaluating Spatial and Temporal Characteristics of Population Density Using Cellular Data

Danni Lu et al.

Summary: This study utilizes 1.1 billion cellphone records from Shanghai to analyze population movement during morning peak hours. Through changes in population density, top traffic attraction zones were identified, showing a shift from homogeneous to heterogeneous density patterns. Travelers are more likely to originate from these zones during peak hours.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

Article Environmental Sciences

The Relationship between Urban Population Density Distribution and Land Use in Guangzhou, China: A Spatial Spillover Perspective

Yisheng Peng et al.

Summary: The distribution of urban population density plays a crucial role in understanding urban vibrancy. Research on this topic has shown that population density tends to aggregate and fluctuates between weekdays and weekends, with a pattern of rapid growth and decline within a day. Additionally, the spatial spillover effects of land use have significant impacts on population density distribution, suggesting the need to consider indirect effects from neighboring areas in urban planning and policy making.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2021)

Article Transportation

On how to incorporate public sources of situational context in descriptive and predictive models of traffic data

Sofia Cerqueira et al.

Summary: European cities are increasingly focusing on urban data consolidation and analysis to optimize public transport in response to changing urban mobility dynamics. However, traffic data analysis often overlooks important situational context like large-scale events and weather factors. The Lisbon city Council is taking steps to gather situational context sources and create new opportunities for context-aware traffic data analysis.

EUROPEAN TRANSPORT RESEARCH REVIEW (2021)

Article Multidisciplinary Sciences

Measuring the accuracy of gridded human population density surfaces: A case study in Bioko Island, Equatorial Guinea

Brendan Fries et al.

Summary: Different population layers performed differently in matching the gold standard distribution at different population densities. Choosing the appropriate population map has a significant impact on burden estimates in a malaria model.

PLOS ONE (2021)

Article Computer Science, Information Systems

Revealing the Correlation between Population Density and the Spatial Distribution of Urban Public Service Facilities with Mobile Phone Data

Yi Shi et al.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2020)

Review Automation & Control Systems

Urban sensing based on mobile phone data: approaches, applications, and challenges

Mohammadhossein Ghahramani et al.

IEEE-CAA JOURNAL OF AUTOMATICA SINICA (2020)

Article Computer Science, Information Systems

Towards a methodological framework for estimating present population density from mobile network operator data

Fabio Ricciato et al.

PERVASIVE AND MOBILE COMPUTING (2020)

Article Automation & Control Systems

Mobile Phone Data Analysis: A Spatial Exploration Toward Hotspot Detection

Mohammadhossein Ghahramani et al.

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2019)

Article Environmental Sciences

Mapping population density in China between 1990 and 2010 using remote sensing

Litao Wang et al.

REMOTE SENSING OF ENVIRONMENT (2018)

Article Computer Science, Theory & Methods

Spatio-Temporal Data Mining: A Survey of Problems and Methods

Gowtham Atluri et al.

ACM COMPUTING SURVEYS (2018)

Article Engineering, Civil

Table of contents

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2017)

Article Computer Science, Interdisciplinary Applications

Land Use detection with cell phone data using topic models: Case Santiago, Chile

Sebastian A. Rios et al.

COMPUTERS ENVIRONMENT AND URBAN SYSTEMS (2017)

Article Transportation Science & Technology

The path most traveled: Travel demand estimation using big data resources

Jameson L. Toole et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2015)

Article Computer Science, Information Systems

A new insight into land use classification based on aggregated mobile phone data

Tao Pei et al.

INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2014)

Article Multidisciplinary Sciences

Dynamic population mapping using mobile phone data

Pierre Deville et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2014)

Article Geography

The real-time city? Big data and smart urbanism

Rob Kitchin

GEOJOURNAL (2014)

Article Physics, Multidisciplinary

Modelling the scaling properties of human mobility

Chaoming Song et al.

NATURE PHYSICS (2010)

Article Urban Studies

Does Urban Mobility Have a Daily Routine? Learning from the Aggregate Data of Mobile Networks

Andres Sevtsuk et al.

JOURNAL OF URBAN TECHNOLOGY (2010)

Article Multidisciplinary Sciences

Understanding individual human mobility patterns

Marta C. Gonzalez et al.

NATURE (2008)

Article Environmental Studies

Mobile landscapes: Using location data from cell phones for urban analysis

Carlo Ratti et al.

ENVIRONMENT AND PLANNING B-PLANNING & DESIGN (2006)

Article Computer Science, Information Systems

Reality mining: sensing complex social systems

Nathan Eagle et al.

PERSONAL AND UBIQUITOUS COMPUTING (2006)