Social Media have increasingly provided data about the movement of people in cities making them useful in understanding the daily life of people in different geographies. Particularly useful for travel analysis is when Social Media users allow (voluntarily or not) tracing their movement using geotagged information of their communication with these online platforms. In this paper we use geotagged tweets from 10 cities in the European Union and United States of America to extract spatiotemporal patterns, study differences and commonalities among these cities, and explore the nature of user location recurrence. The analysis here shows the distinction between residents and tourists is fundamental for the development of city-wide models. Identification of repeated rates of location (recurrence) can be used to define activity spaces. Differences and similarities across different geographies emerge from this analysis in terms of local distributions but also in terms of the worldwide reach among the cities explored here. The comparison of the temporal signature between geotagged and non-geotagged tweets also shows similar temporal distributions that capture in essence city rhythms of tweets and activity spaces.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Investigating social media spatiotemporal transferability for transport


    Beteiligte:


    Erscheinungsdatum :

    2022




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Investigating Transferability of National Household Travel Survey Data

    Mohammadian, Abolfazl / Zhang, Yongping | Transportation Research Record | 2007



    Transferability of urban transport policy

    Ison, Stephen | Online Contents | 2011


    Transferability of urban transport policy

    Ison, Stephen / Marsden, Greg / May, Anthony D. | Elsevier | 2010


    Improving Spatiotemporal Transferability of Real-Time Crash Likelihood Prediction Models Using Transfer-Learning Approaches

    Li, Pei / Abdel-Aty, Mohamed / Zhang, Shile | Transportation Research Record | 2022