The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Qiang Zeng - One of the best experts on this subject based on the ideXlab platform.
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jointly modeling area level crash rates by severity a bayesian multivariate random parameters spatio temporal Tobit Regression
Transportmetrica, 2019Co-Authors: Qiang Zeng, S C Wong, Heilai HuangAbstract:ABSTRACTThis study investigates the inclusion of spatio-temporal correlation and interaction in a multivariate random-parameters Tobit model and their influence on fitting areal crash rates with di...
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jointly modeling area level crash rates by severity a bayesian multivariate random parameters spatio temporal Tobit Regression
Transportmetrica, 2019Co-Authors: Qiang Zeng, Qiang Guo, S C Wong, Huiying Wen, Heilai Huang, Xin PeiAbstract:This study investigates the inclusion of spatio-temporal correlation and interaction in a multivariate random-parameters Tobit model and their influence on fitting areal crash rates with different ...
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a bayesian spatial random parameters Tobit model for analyzing crash rates on roadway segments
Accident Analysis & Prevention, 2017Co-Authors: Qiang Zeng, Helai Huang, Mohamed AbdelatyAbstract:Abstract This study develops a Bayesian spatial random parameters Tobit model to analyze crash rates on road segments, in which both spatial correlation between adjacent sites and unobserved heterogeneity across observations are accounted for. The crash-rate data for a three-year period on road segments within a road network in Florida, are collected to compare the performance of the proposed model with that of a (fixed parameters) Tobit model and a spatial (fixed parameters) Tobit model in the Bayesian context. Significant spatial effect is found in both spatial models and the results of Deviance Information Criteria (DIC) show that the inclusion of spatial correlation in the Tobit Regression considerably improves model fit, which indicates the reasonableness of considering cross-segment spatial correlation. The spatial random parameters Tobit Regression has lower DIC value than does the spatial Tobit Regression, suggesting that accommodating the unobserved heterogeneity is able to further improve model fit when the spatial correlation has been considered. Moreover, the random parameters Tobit model provides a more comprehensive understanding of the effect of speed limit on crash rates than does its fixed parameters counterpart, which suggests that it could be considered as a good alternative for crash rate analysis.
Heilai Huang - One of the best experts on this subject based on the ideXlab platform.
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jointly modeling area level crash rates by severity a bayesian multivariate random parameters spatio temporal Tobit Regression
Transportmetrica, 2019Co-Authors: Qiang Zeng, Qiang Guo, S C Wong, Huiying Wen, Heilai Huang, Xin PeiAbstract:This study investigates the inclusion of spatio-temporal correlation and interaction in a multivariate random-parameters Tobit model and their influence on fitting areal crash rates with different ...
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jointly modeling area level crash rates by severity a bayesian multivariate random parameters spatio temporal Tobit Regression
Transportmetrica, 2019Co-Authors: Qiang Zeng, S C Wong, Heilai HuangAbstract:ABSTRACTThis study investigates the inclusion of spatio-temporal correlation and interaction in a multivariate random-parameters Tobit model and their influence on fitting areal crash rates with di...
Atsushi Iimi - One of the best experts on this subject based on the ideXlab platform.
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optimal locational choice for agrobusinesses in madagascar an application of spatial autoregressive Tobit Regression
Social Science Research Network, 2018Co-Authors: Atsushi IimiAbstract:The traditional location theory predicts that firms' locational choice is independent of the output demand. However, firms are often concentrated in large markets. In Africa, agrobusinesses are expected to play an important role to facilitate agricultural growth but are hardly available in rural areas. This paper examines the question of why agribusinesses are not located in local production areas despite the clear benefits expected from close proximity to their inputs. By applying the spatial autocorrelation Tobit model, the paper estimates the impacts of market and farm accessibility on agglomeration of new agrobusinesses in Madagascar. The findings show that market accessibility and agglomeration economies are important for attracting more agrobusinesses. The quality of labor is also an important determinant for their locational choice. The findings are consistent with some models of location theory: firms move away from rural areas where they may still have monopsony power, toward urban areas where productivity is higher.
Xin Pei - One of the best experts on this subject based on the ideXlab platform.
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jointly modeling area level crash rates by severity a bayesian multivariate random parameters spatio temporal Tobit Regression
Transportmetrica, 2019Co-Authors: Qiang Zeng, Qiang Guo, S C Wong, Huiying Wen, Heilai Huang, Xin PeiAbstract:This study investigates the inclusion of spatio-temporal correlation and interaction in a multivariate random-parameters Tobit model and their influence on fitting areal crash rates with different ...
S C Wong - One of the best experts on this subject based on the ideXlab platform.
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jointly modeling area level crash rates by severity a bayesian multivariate random parameters spatio temporal Tobit Regression
Transportmetrica, 2019Co-Authors: Qiang Zeng, Qiang Guo, S C Wong, Huiying Wen, Heilai Huang, Xin PeiAbstract:This study investigates the inclusion of spatio-temporal correlation and interaction in a multivariate random-parameters Tobit model and their influence on fitting areal crash rates with different ...
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jointly modeling area level crash rates by severity a bayesian multivariate random parameters spatio temporal Tobit Regression
Transportmetrica, 2019Co-Authors: Qiang Zeng, S C Wong, Heilai HuangAbstract:ABSTRACTThis study investigates the inclusion of spatio-temporal correlation and interaction in a multivariate random-parameters Tobit model and their influence on fitting areal crash rates with di...
