Most studies of road travel time estimation have been based on traffic flow theory or data-driven methods and generally neglect the influence of urban built environment on road travel time. A global regression model and a geographically weighted regression model were thus established to analyse the spatial heterogeneity of the effects of urban built environment on road travel time. The estimated results of the global regression model indicate that the occupancy rate of taxis, the distance from the nearest intersection, and the speed limit show positive correlations with a road’s travel speed, whilst the number of bus stops and the distance from the nearest school show negative associations with the travel speed of the road. Furthermore, based on the results of the geographically weighted regression model, the spatially varying relationships between urban built environment and road travel time can be established, thus providing important information for decision-makers to reduce road travel time by adjusting the attributes of urban built environment.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Exploring the Spatially Heterogeneous Effects of Urban Built Environment on Road Travel Time Variability


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    01.02.2022


    Format / Umfang :

    25 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    A METHOD TO QUANTITATIVELY ANALYZE THE EFFECTS OF URBAN BUILT ENVIRONMENT ON ROAD TRAVEL TIME

    ZHONG SHAOPENG / WANG ZHONG / WANG QUANZHI et al. | Europäisches Patentamt | 2019

    Freier Zugriff



    Built Environment, Causality and Travel

    Næss, Petter | Online Contents | 2015