1–20 von 107 Ergebnissen
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    Geographically weighted negative binomial regression applied to zonal level safety performance models

    Gomes, Marcos José Timbó Lima / Cunto, Flávio / da Silva, Alan Ricardo | Elsevier | 2017
    Schlagwörter: Geographically weighted poisson regression , Geographically weighted negative binomial regression

    Evaluation of spatial heterogeneity in the sensitivity of on-street parking occupancy to price change

    Pu, Ziyuan / Li, Zhibin / Ash, John et al. | Elsevier | 2017
    Schlagwörter: Geographically weighted regression

    Spatial associations of dockless shared e-scooter usage

    Caspi, Or / Smart, Michael J. / Noland, Robert B. | Elsevier | 2020
    Schlagwörter: Geographically weighted regression

    Exploring the effect of road network, demographic, and land use characteristics on teen crash frequency using geographically weighted negative binomial regression

    Mathew, Sonu / Pulugurtha, Srinivas S. / Duvvuri, Sarvani | Elsevier | 2022
    Schlagwörter: Geographically weighted regression , Negative binomial regression

    Exploring the impact of high speed railways on the spatial redistribution of economic activities - Yangtze River Delta urban agglomeration as a case study

    Li, Xijing / Huang, Bo / Li, Rongrong et al. | Elsevier | 2016
    Schlagwörter: Geographically weighted regression , Geographically network weighted regression

    Spatially varying impacts of built environment factors on rail transit ridership at station level: A case study in Guangzhou, China

    Li, Shaoying / Lyu, Dijiang / Huang, Guanping et al. | Elsevier | 2019
    Schlagwörter: Geographically weighted regression

    Modelling the impact of High Speed Rail on tourists with Geographically Weighted Poisson Regression

    Pagliara, Francesca / Mauriello, Filomena | Elsevier | 2019
    Schlagwörter: Geographically Weighted Regression

    Factors affecting public transportation usage rate: Geographically weighted regression

    Chiou, Yu-Chiun / Jou, Rong-Chang / Yang, Cheng-Han | Elsevier | 2015
    Schlagwörter: Tobit regression , Geographically weighted regression

    Trip end models of local rail demand in England and Wales

    Blainey, Simon | Elsevier | 2008
    Schlagwörter: Geographically weighted regression

    Spatial-temporal heterogeneity of air pollution: The relationship between built environment and on-road PM2.5 at micro scale

    Zhou, Suhong / Lin, Rongping | Elsevier | 2019
    Schlagwörter: Geographically weighted regression (GWR)

    Spatiotemporal exploration of Melbourne pedestrian demand

    Pfiester, Laura Mali / Thompson, Russell G. / Zhang, Lele | Elsevier | 2021
    Schlagwörter: Geographically weighted regression , Regression model

    Investigating the impacts of built environment on traffic states incorporating spatial heterogeneity

    Pan, Yingjiu / Chen, Shuyan / Niu, Shifeng et al. | Elsevier | 2020
    Schlagwörter: Geographically weighted regression

    Spatial variations in active mode trip volume at intersections: a local analysis utilizing geographically weighted regression

    Yang, Hongtai / Lu, Xiaozhao / Cherry, Christopher et al. | Elsevier | 2017
    Schlagwörter: Geographically weighted regression

    Explorative spatial analysis of traffic accident statistics and road mortality among the provinces of Turkey

    Erdogan, Saffet | Elsevier | 2009
    Schlagwörter: Geographically weighted regression

    A geographically weighted regression to estimate the comprehensive cost of traffic crashes at a zonal level

    Hezaveh, Amin Mohamadi / Arvin, Ramin / Cherry, Christopher R. | Elsevier | 2019
    Schlagwörter: Geographically weighted regression

    Exploring the spatial variations of transfer distances between dockless bike-sharing systems and metros

    Li, Wenxiang / Chen, Shawen / Dong, Jieshuang et al. | Elsevier | 2021
    Schlagwörter: Geographically weighted regression

    Spatial heterogeneity analysis of macro-level crashes using geographically weighted Poisson quantile regression

    Tang, Jinjun / Gao, Fan / Liu, Fang et al. | Elsevier | 2020
    Schlagwörter: Geographically weighted regression , Quantile regression

    Exploring spatial variation of the bus stop influence zone with multi-source data: A case study in Zhenjiang, China

    Pan, Yingjiu / Chen, Shuyan / Li, Tiezhu et al. | Elsevier | 2019
    Schlagwörter: Geographically weighted regression

    Commuting inequity and its determinants in Shanghai: New findings from big-data analytics

    Zhao, Pengjun / Cao, Yushu | Elsevier | 2020
    Schlagwörter: Geographically weighted regression (GWR)

    Modelling demand in restricted parking zones

    Ibeas, Ángel / Cordera, Ruben / dell’Olio, Luigi et al. | Elsevier | 2011
    Schlagwörter: Geographically weighted regression