Results 211 to 220 of about 2,446 (237)
Modelling the impact of High Speed Rail on tourists with Geographically Weighted Poisson Regression
Transportation Research, Part A: Policy and Practice, 2020 Abstract In this paper the impact of High Speed Rail (HSR) on the tourism market is analysed. The original and added value of this contribution is in the proposed methodology, which considers the Geographically Weighted Regression technique, incorporated within a Poisson model.
Filomena Mauriello, Francesca Pagliara
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Accident Analysis and Prevention, 2020
In recent years, globally quantile-based model (e.g. quantile regression) and spatially conditional mean models (e.g. geographically weighted regression) have been widely and commonly employed in macro-level safety analysis. The former ones assume that the model coefficients are fixed over space, while the latter ones only represent the entire ...
Han Chunyang, Jinjun Tang, Fan Gao
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In recent years, globally quantile-based model (e.g. quantile regression) and spatially conditional mean models (e.g. geographically weighted regression) have been widely and commonly employed in macro-level safety analysis. The former ones assume that the model coefficients are fixed over space, while the latter ones only represent the entire ...
Han Chunyang, Jinjun Tang, Fan Gao
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Application of Geographically Weighted Bivariate Poisson Inverse Gaussian Regression
AIP Conference Proceedings, 2020West Sumatera is a region with low leprosy cases. On the other hand, it is worrying because it has a significant increase. The number of Pauci Bacillary (PB) and Multi Bacillary (MB) leprosy in West Sumatera is one of count data within over dispersion so that can be modeled by Geographically Weighted Bivariate Poisson Inverse Gaussian Regression ...
Junita Amalia +2 more
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Using Geographically Weighted Poisson Regression for county-level crash modeling in California
Safety Science, 2013Development of crash prediction models at the county-level has drawn the interests of state agencies for forecasting the normal level of traffic safety according to a series of countywide characteristics. A common technique for the county-level crash modeling is the generalized linear modeling (GLM) procedure.
Pan Liu, Zhibin Li, David Ragland
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Accident Analysis and Prevention, 2010
A common technique used for the calibration of collision prediction models is the Generalized Linear Modeling (GLM) procedure with the assumption of Negative Binomial or Poisson error distribution. In this technique, fixed coefficients that represent the average relationship between the dependent variable and each explanatory variable are estimated ...
Alireza, Hadayeghi +2 more
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A common technique used for the calibration of collision prediction models is the Generalized Linear Modeling (GLM) procedure with the assumption of Negative Binomial or Poisson error distribution. In this technique, fixed coefficients that represent the average relationship between the dependent variable and each explanatory variable are estimated ...
Alireza, Hadayeghi +2 more
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Letters in Spatial and Resource Sciences, 2021
Bivariate generalized Poisson regression (BGPR) is an extension of bivariate Poisson regression which deals overdipersion or underdispersion problem. This model gives global regression coefficients for all observations (locations) in the analysis. The BGPR model is then extended to take into account spatial heterogeneity, called geographically weighted
null Purhadi +3 more
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Bivariate generalized Poisson regression (BGPR) is an extension of bivariate Poisson regression which deals overdipersion or underdispersion problem. This model gives global regression coefficients for all observations (locations) in the analysis. The BGPR model is then extended to take into account spatial heterogeneity, called geographically weighted
null Purhadi +3 more
openaire +1 more source
Spatial and Spatio-temporal Epidemiology, 2016
The geographical distribution of health outcomes is influenced by socio-economic and environmental factors operating on different spatial scales. Geographical variations in relationships can be revealed with semi-parametric Geographically Weighted Poisson Regression (sGWPR), a model that can combine both geographically varying and geographically ...
Manuel C Ribeiro, Maria João Pereira
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The geographical distribution of health outcomes is influenced by socio-economic and environmental factors operating on different spatial scales. Geographical variations in relationships can be revealed with semi-parametric Geographically Weighted Poisson Regression (sGWPR), a model that can combine both geographically varying and geographically ...
Manuel C Ribeiro, Maria João Pereira
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Accident Analysis & Prevention, 2021
While cycling benefits individuals and society, cyclists are vulnerable road users, and their safety concerns arouse more macro-level spatial crash studies. Our study intends to investigate the spatial effects of population, land use, and bicycle lane infrastructures on bicycle crashes.
Shujuan, Ji, Yuanqing, Wang, Yao, Wang
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While cycling benefits individuals and society, cyclists are vulnerable road users, and their safety concerns arouse more macro-level spatial crash studies. Our study intends to investigate the spatial effects of population, land use, and bicycle lane infrastructures on bicycle crashes.
Shujuan, Ji, Yuanqing, Wang, Yao, Wang
openaire +2 more sources
Mixed Geographically Weighted Poisson Regression Model in The Number of Maternal Mortality
2022This study aims to prove and to use the multiple regression analysis methods can be developed into Poisson regression because the total data follows the assumption of a Poisson distribution. Conditions that occur in poisson regression obtained a global regression coefficient value, which means that each observation point has generalized observation ...
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