Article
Multidisciplinary Sciences
Junqing Tang, Pengjun Zhao, Zhaoya Gong, Hongbo Zhao, Fengjue Huang, Jiaying Li, Zhihe Chen, Ling Yu, Jun Chen
Summary: Large-scale disasters disproportionately impact different population groups, especially the vulnerable and marginalized. This study investigates the resilience of human mobility during the unprecedented '720' Zhengzhou flood in China in 2021 using a massive amount of mobile phone signaling data. The findings reveal three counter-intuitive resilience patterns in human mobility and demonstrate that these patterns are not associated with gender or age.
NATIONAL SCIENCE REVIEW
(2023)
Article
Urban Studies
Jinzhou Cao, Qingquan Li, Wei Tu, Qili Gao, Rui Cao, Chen Zhong
Summary: This study uses massive-scale mobile phone tracking data to extract individual travel patterns, build urban mobility networks, and propose network properties to characterize mobility networks, demonstrating the impact of individual travel pattern heterogeneity on urban mobility patterns.
Article
Computer Science, Interdisciplinary Applications
Yang Xu, Jiaying Xue, Sangwon Park, Yang Yue
Summary: The study introduces an analytical framework to gain insights into tourist mobility patterns by analyzing mobile phone trajectories of international travelers to three different cities in South Korea, utilizing nine mobility indicators to capture different facets of tourist travel behavior. The study further quantifies the behavioral heterogeneity of travelers across countries and regions, and examines spatial activity patterns of different traveler groups in each city.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2021)
Article
Economics
Martin Sveda, Michala Sladekova Madajova
Summary: This paper attempts to reveal the spatial variations of the distance decay effect on movements in urban space through the utilization of mobile phone data. The findings suggest that for daily mobility within the urban area, the polynomial-exponential function describes the impedance of travel distance more preferably. However, a significant proportion of urban grids have recorded weak or even no decay, which could be a result of a specific functional structure of the study area or an advanced stage of urban evolution.
JOURNAL OF TRANSPORT GEOGRAPHY
(2023)
Article
Mathematics, Interdisciplinary Applications
Chen Zhao, An Zeng, Chi Ho Yeung
Summary: The study re-examined human mobility patterns using comprehensive cell-phone position data and found that individuals exhibit origin-dependent and path-preferential patterns in their short time-scale mobility. These behaviors are more prominent with higher temporal resolution data, but have been overlooked in most previous studies.
Article
Remote Sensing
Jinzhou Cao, Wei Tu, Rui Cao, Qili Gao, Guanzhou Chen, Qingquan Li
Summary: Understanding complex urban systems requires untangling the relationships between various urban elements. This study proposes a thorough framework for quantifying the scaling laws in a city by analyzing urban mobility networks and quantifying the scaling correlations between urban indicators. Applying this framework to the case study of Shenzhen, China reveals spatial travel heterogeneity, hierarchical spatial structures, and mobility growth, providing important insights for urban policy evaluations and suggestions for improving intra-urban efficiency.
GEO-SPATIAL INFORMATION SCIENCE
(2023)
Article
Geography
Zongshun Tian, Qin Wang, Yong Liu, Ziyue Wang
Summary: Understanding tourist mobility patterns of demographic subgroups is crucial for tourism planning and management. By proposing a multidimensional framework and conducting an empirical study, we revealed differences in mobility indicators, temporal patterns, and spatial patterns among different demographic subgroups.
Article
Urban Studies
Ling Yin, Nan Lin, Zhiyuan Zhao
Summary: This study proposes a method to mine human activity chains from large-scale mobile phone location data by integrating spatial and temporal features, finding that the frequency distribution of major activity chain patterns agrees well with patterns derived from travel surveys and advanced methods.
Article
Development Studies
Andre Leite Rodrigues, Mariana Giannotti, Matheus H. C. Cunha Barboza, Bianca Bianchi Alves
Summary: This study investigated the mobility patterns of favela residents based on high-frequency mobile phone data analysis, revealing distinct differences in travel distance and frequency between favela and non-favela residents on weekdays and weekends.
HABITAT INTERNATIONAL
(2021)
Article
Geography
Miroslav Marada, Jiri-Jakub Zevl, Jakub Petricek, Vojtech Blazek
Summary: The main objective of this article is to investigate and explain the spatio-temporal pattern of interurban mobility in Czechia. The study utilizes mobile phone location data, specifically analyzing a dataset containing over 3 million mobile phone stations from 2019 to examine mobility patterns and behavior between Prague, Brno, and Ostrava, three major agglomerations in Czechia. The paper applies established concepts from time geography and chronogeography, such as constraints and pacemakers, to achieve its goal. The findings highlight the crucial role of Prague's dominant position in the settlement hierarchy on mobility rhythms, even for long-distance journeys, and demonstrate that journey purpose and means of transport are key pacemakers in intraurban mobility.
Review
Environmental Studies
Masahiko Haraguchi, Akihiko Nishino, Akira Kodaka, Maura Allaire, Upmanu Lall, Liao Kuei-Hsien, Kaya Onda, Kota Tsubouchi, Naohiko Kohtake
Summary: This article discusses the opportunities and challenges of using human mobility data and analysis to improve disaster risk reduction planning. It emphasizes the need for research on the human mobility of vulnerable populations, focusing on disaster mitigation and prevention, developing analytical methods for evidence-based disaster planning, integrating different types of data to overcome methodological challenges, and the importance of transdisciplinary knowledge co-production for evidence-based urban planning.
ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
(2022)
Article
Computer Science, Interdisciplinary Applications
Qiangqiang Xiong, Yaolin Liu, Peng Xie, Yiheng Wang, Yanfang Liu
Summary: This study extracts individual daily activity-travel patterns from massive mobile phone network data, revealing the complex relationship of LAMs between workdays and day-offs, and identifying the formation mechanism of correlation patterns.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2021)
Article
Computer Science, Interdisciplinary Applications
Bowen Zhang, Chen Zhong, Qili Gao, Zahratu Shabrina, Wei Tu
Summary: This research proposes a novel algorithm based on commuting data and spatial interaction model to redraw the boundaries of urban functional zones. By applying it to a case study in a Chinese mega-city region, the algorithm evaluates the current state of urban integration and predicts future trends.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2022)
Article
Geography, Physical
Stefan Fina, Jigeeshu Joshi, Dirk Wittowsky
Summary: This paper discusses the potential of using mobile phone network data to monitor spatial policies in land use and transport planning. By linking mobile phone data with urban classifications and transport network data, the study provides insights into mobility patterns of different urban types and assesses the future potential of monitoring spatial policies using mobile phone network data.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2021)
Article
Environmental Studies
Sangwon Park, Jinyan Zu, Yang Xu, Fan Zhang, Yu Liu, Jingyan Li
Summary: Understanding travel behaviors and segmenting travelers based on activity patterns is crucial in destination planning. This research introduces a novel method to classify travelers using mobile big data analytics by considering their travel activity sequences. The study reveals five distinct travel types visiting city destinations and demonstrates the dynamic travel flow among different mobility types. The findings provide insights into demand-driven destination planning and have important implications for city destination planners/designers.
TOURISM MANAGEMENT
(2023)
Article
Mathematics, Interdisciplinary Applications
Stefania Rubrichi, Zbigniew Smoreda, Mirco Musolesi
Article
Multidisciplinary Sciences
Yves-Alexandre de Montjoye, Sebastien Gambs, Vincent Blondel, Geoffrey Canright, Nicolas de Cordes, Sebastien Deletaille, Kenth Engo-Monsen, Manuel Garcia-Herranz, Jake Kendall, Cameron Kerry, Gautier Krings, Emmanuel Letouze, Miguel Luengo-Oroz, Nuria Oliver, Luc Rocher, Alex Rutherford, Zbigniew Smoreda, Jessica Steele, Erik Wetter, Alex Sandy Pentland, Linus Bengtsson
Article
Engineering, Civil
Mariem Fekih, Tom Bellemans, Zbigniew Smoreda, Patrick Bonnel, Angelo Furno, Stephane Galland
Summary: The study introduces a methodology to estimate origin-destination matrices using cellular network signalling data, providing higher spatiotemporal granularity compared to traditional methods. By analyzing user activity indicators and extracting trips, the study identifies mobility information and scales the data to obtain O-D matrix estimates similar to those obtained through travel surveys.
Article
Computer Science, Information Systems
Pitchaya Sakamanee, Santi Phithakkitnukoon, Zbigniew Smoreda, Carlo Ratti
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2020)
Article
Transportation Science & Technology
Loic Bonnetain, Angelo Furno, Nour-Eddin El Faouzi, Marco Fiore, Razvan Stanica, Zbigniew Smoreda, Cezary Ziemlicki
Summary: This study introduces a novel framework called TRANSIT, capable of accurately inferring mobility phases and stationary activities from Network Signaling Data, and reconstructing fine-grained human mobility trajectories. Validation results demonstrate the superior performance of TRANSIT in identifying movement periods and trajectory estimation.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Transportation
Mariem Fekih, Loic Bonnetain, Angelo Furno, Patrick Bonnel, Zbigniew Smoreda, Stephane Galland, Tom Bellemans
Summary: This paper proposes a framework to extract dynamic trip flows and travel demand patterns from large-scale cellular signaling data, showing high consistency with traditional survey data through empirical comparisons.
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH
(2022)
Article
Multidisciplinary Sciences
Hadrien Salat, Markus Schlapfer, Zbigniew Smoreda, Stefania Rubrichi
Summary: Access to reliable and affordable electricity is crucial for socio-economic development. Our analysis of electrification in rural areas of Senegal shows positive correlations with communication network centrality and visitor volume, but this influence is spatially limited, leading to complex competition among nearby areas. Predicting visitor volume between sites based on electrification levels and living standards could help in rural electrification planning strategies. Electrifying clusters of rural sites is a more effective solution than centralizing electricity supplies to maximize development in targeted areas.
ROYAL SOCIETY OPEN SCIENCE
(2021)
Article
Computer Science, Information Systems
Santi Phithakkitnukoon, Soranan Hankaew, Merkebe Getachew Demissie, Zbigniew Smoreda, Carlo Ratti
Summary: This study presents a methodology for inferring large-scale temporary migration trips based on mobile phone network data and analyzes their spatial determinants. The study finds that places for leisure and population density are the main factors attracting migrants to a region, while places for public service have a negative effect on attracting inflows.
Article
Multidisciplinary Sciences
Inaki Ucar, Marco Gramaglia, Marco Fiore, Zbigniew Smoreda, Esteban Moro
Summary: This study investigates the digital usage gap using a dataset of 3.7 billion mobile traffic records in a major European country. It reveals significant geographical unevenness in mobile service usage, especially in news, social media, and video streaming, and links this diversity with income, educational attainment, and inequality. The results suggest that the socio-economic status of an area can be accurately inferred from aggregated data traffic, highlighting the importance of understanding the digital usage divide for socio-economic issues.
JOURNAL OF THE ROYAL SOCIETY INTERFACE
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Thanisorn Jundee, Chanadda Kunyadoi, Anya Apavatjrut, Santi Phithakkitnukoon, Zbigniew Smoreda
PROCEEDINGS OF THE 2018 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2018 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (UBICOMP/ISWC'18 ADJUNCT)
(2018)
Article
Social Sciences, Mathematical Methods
Maarten Vanhoof, Fernando Reis, Thomas Ploetz, Zbigniew Smoreda
JOURNAL OF OFFICIAL STATISTICS
(2018)
Article
Urban Studies
Maarten Vanhoof, Willem Schoors, Anton Van Rompaey, Thomas Ploetz, Zbigniew Smoreda
JOURNAL OF URBAN TECHNOLOGY
(2018)
Article
Economics
Patrick Bonnel, Etienne Hombourger, Ana-Maria Olteanu-Raimond, Zbigniew Smoreda
REVUE D ECONOMIE REGIONALE ET URBAINE
(2017)
Article
Computer Science, Information Systems
Soranan Hankaew, Santi Phithakkitnukoon, Merkebe Getachew Demissie, Lina Kattan, Zbigniew Smoreda, Carlo Ratti
Article
Transportation
Maxim Janzen, Maarten Vanhoof, Zbigniew Smoreda, Kay W. Axhausen
TRAVEL BEHAVIOUR AND SOCIETY
(2018)
