Using mobile phone data to explore spatial-temporal evolution of home-based daily mobility patterns in Shanghai

Liu, Zhicheng; Yu, Jinbin; Wang, Xiong; Lu, Jian; Yang, Junyan; Wang, Qiao

doi:10.1109/besc.2016.7804481

Cited by 10 publications

(4 citation statements)

References 15 publications

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“…Depending on the nature of the data (call detail records, GPS, travel surveys) and the definition of the motif (location-or activity-based), motif-related research shows between 10 and 17 motifs that can capture 90% of the population activity-travels. These motifs also show spatio-temporal regularity and stability over several months [16][17][18][19][20]. This tends to confirm that typical locational and activity patterns exist and can be leveraged to capture a greater diversity of activity-travel behaviors.…”

Section: A Heterogeneous Demand In Time and Space With Differentiated...mentioning

confidence: 52%

Assessment of the Bus Transit Network: A Perspective from the Daily Activity-Travel Organization of Travelers

Schultheiss

2022

Sustainability

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In a context where daily car use is a spontaneous and habitual choice for a wide majority of the population, the quality of the alternatives to individual motorized vehicles is a major factor in encouraging modal shift. The ease of access to public transport can influence the mode choice decision process. However, the diversity of activity-travel patterns questions the definition of a unique and homogeneous accessibility and level-of-service to all travelers. The aim of this paper is to identify, with the help of standard data (micro-census and open data), for whom, when and where the transit supply is adequate or not. The approach is based on a twofold methodology. First, we aim to identify differentiated typical activity-travel patterns among the population. Second, to decompose them in transit supply in time and space. Combined, these two elements synthesize a spatially- and temporally-based demand-supply gap index. The results show for which territories, time slots and population groups the supply is defective or excessive with respect to the demand. Generally speaking, the supply is particularly well dimensioned for the dominant groups, such as commuters, including long-distance travelers, who are mainly men. The imbalances in supply over time and space reveal a differentiated accessibility but also significant socio-spatial inequalities.

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Section: A Heterogeneous Demand In Time and Space With Differentiated...mentioning

confidence: 52%

Assessment of the Bus Transit Network: A Perspective from the Daily Activity-Travel Organization of Travelers

Schultheiss

2022

Sustainability

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“…The method followed in this paper is based on easy-to-implement logical rules. It is inspired by other methods used in detecting home and work locations from mobile phone data Calabrese et al (2011); Liu et al (2016);C ¸olak et al (2015). For our study, we assumed that each passenger would only have one device.…”

Section: Imputation Of Incomplete Wi-fi Tracesmentioning

confidence: 99%

Constructing Origin-Destination Matrix using Wi-Fi and AFC Data

Silva,

Elsaid,

Shalaby

2023

Preprint

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Transportation systems planning and management rely heavily on Origin-Destination (OD) demand matrices. However, the traditional approach of creating these matrices using household travel survey data is not only time-consuming but also expensive, making it challenging to apply them to detailed and time-sensitive analyses. Automated fare collection (AFC) systems can provide a solution to these challenges. However, many transit fare systems are entry-only with no requirement to tap at the exit station, which makes it challenging to determine the location of alighting stations and analyze spatial demand patterns. This study proposes a framework that uses Wi-Fi traces and passenger counts at AFC entry/exit gates to construct OD matrices for entry-only Urban Rail Transit (URT) systems. The City of Toronto's subway system was used as a case study, and the framework was compared to 2016 Transportation Tomorrow Survey (TTS), which is the primary source of OD-matrix estimation in the city. The generated OD-matrices were found to be very close to the OD-matrix from the household travel survey, with a cosine similarity close to one for most subway regions. Our estimated OD-matrices offer several advantages over traditional methods. They have low matrix sparsity and fast computational time and convergence, and they exhibit strong capability of recognizing demand patterns at the station-level.

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“…y de otros datos complementarios, se han formado grandes bases de datos de flujos de movilidad que contienen información espacial (Spatial Big Data) (Osorio-Arjona & García-Palomares, 2017;Vannoni et al, 2020). El uso de datos así obtenidos se ha multiplicado en investigaciones con diferentes objetivos (Bisanzio et al, 2020;Liu et al, 2016;Moya-Gómez et al, 2021) y para estudiar la relación de la movilidad con las variaciones de la incidencia y propagación de la COVID-19, así como los efectos de las restricciones para el control de la pandemia en la intensidad y modos de la movilidad (Pászto et al, 2021;Sadowski et al, 2021;Wang & Yamamoto, 2020;Xiong et al, 2020).…”

Section: Introductionunclassified

Actas del XIX Congreso de Tecnologías de la Información Geográfica. TIG al servicio de los ODS Zaragoza, 12 a 14 de septiembre de 2022

Fernández¹,

Gracia²,

Llovería³

et al. 2022

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Bajo el lema "TIG al servicio de los ODS", con el XIX Congreso de Tecnologías de la Información Geográfica se ha querido contribuir a la consecución de los ODS 2030, evidenciando la potencialidad de las geotecnologías e identificando los objetivos y las metas a los que colabora la actividad de la comunidad TIG para transformar el contexto económico, social y ambiental hacia un futuro más sostenible en todas las escalas, a nivel global, regional y local. Las TIG ofrecen herramientas de representación, análisis, integración, comprensión, proyección y modelado de la realidad espacial o geográfica. Las TIG, al igual que todas las partes interesadas, están llamadas a contribuir a la consecución de la nueva Agenda y a colaborar en el proceso de seguimiento de los progresos conseguidos en el cumplimiento de los Objetivos de Desarrollo Sostenible (ODS) y las metas, aportando información y sistematizando indicadores transversales para su evaluación. La publicación incluye las contribuciones científicas presentadas en el Congreso, celebrado en Zaragoza entre los días 12 y 14 de septiembre de 2022.

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Using mobile phone data to explore spatial-temporal evolution of home-based daily mobility patterns in Shanghai

Cited by 10 publications

References 15 publications

Assessment of the Bus Transit Network: A Perspective from the Daily Activity-Travel Organization of Travelers

Assessment of the Bus Transit Network: A Perspective from the Daily Activity-Travel Organization of Travelers

Constructing Origin-Destination Matrix using Wi-Fi and AFC Data

Actas del XIX Congreso de Tecnologías de la Información Geográfica. TIG al servicio de los ODS Zaragoza, 12 a 14 de septiembre de 2022

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