Kriging Geostatistical Methods for Travel Mode Choice: A Spatial Data Analysis to Travel Demand Forecasting

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"Kriging Geostatistical Methods for Travel Mode Choice: A Spatial Data Analysis to Travel Demand Forecasting"
written by Viviani Antunes Gomes, Cira Souza Pitombo, Samille Santos Rocha, Ana Rita Salgueiro,
published by Open Journal of Statistics, Vol.6 No.3, 2016

has been cited by the following article(s):

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[1]	Accessibility and Public Transport Mobility for a Smart (er) Island: Evidence from Sardinia (Italy)
	Sustainable Cities and Society, 2022

[2]	Estimación de la variabilidad de las condiciones de accesibilidad a lo largo del día según la franja horaria: el caso de la ciudad de Ibagué (Colombia)
	Villermo, DA Escobar… - Información …, 2022

[3]	Applying optimization algorithms for spatial estimation of travel demand variables
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[4]	Ridership Estimation Along Bus Transit Lines Based on Kriging: Comparative Analysis Between Network and Euclidean Distances
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[5]	Shared mobility and transit-dependent population: A new equity opportunity or issue?
	2020

[6]	Intersecting geostatistics with transport demand modeling: a bibliographic survey
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[7]	Accesibilidad geográfica y construcción de paz: un acercamiento desde el desarrollo de la red de infraestructura vial
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[8]	Intersectando Geoestatística com Modelagem da Demanda por Transportes: um Levantamento Bibliográfico
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[9]	Relación entre abstención electoral, accesibilidad geográfica y oferta de puestos de votación. Caso de estudio: Manizales, Colombia
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[10]	Forecasting (un-) seasonal demand using geostatistics, socio-economic and weather data
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[11]	Sequential Gaussian Simulation as a Promising Tool in Travel Demand Modeling
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[12]	Estimativa do volume de passageiros ao longo de uma linha de transporte público por ônibus a partir da geoestatística
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[13]	Extending JAGS for spatial data
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[14]	Geostatistical approach to estimate car occupant fatalities in traffic accidents
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[15]	ESTIMATIVA DO VOLUME DE PASSAGEIROS AO LONGO DE LINHAS DE TRANSPORTE PÚBLICO POR ÔNIBUS A PARTIR DA GEOESTATÍSTICA
	32' Congresso de Pesquisa e Ensino em Transporte da ANPET, 2018

[16]	Spatial crash prediction models: an evaluation of the impacts of enriched information on model performance and the suitability of different spatial modeling …
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[17]	PROPOSAL OF A GEOSTATISTICAL PROCEDURE FOR TRANSPORTATION PLANNING FIELD
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[18]	Geostatistics as a Tool to Map the Spatio-Temporal Evolution of Car Ownership in São Paulo Metropolitan Area
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[19]	Proposta de um procedimento geoestatístico para uso na área de Planejamento de Transportes
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[20]	ESTUDO COMPARATIVO DO USO DE KRIGAGEM PARA ESTIMAÇÃO DA ESCOLHA DO MODO PARTICULAR MOTORIZADO
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[21]	MODELOS ESPACIAIS DE PREVISÃO DE ACIDENTES: UMA AVALIAÇÃO DO DESEMPENHO DOS MODELOS A PARTIR DA INCORPORAÇÃO DE …
	2011

[1]	Accessibility and Public Transport Mobility for a Smart(er) Island: Evidence from Sardinia (Italy) Sustainable Cities and Society, 2022 DOI:10.1016/j.scs.2022.104145

[2]	Accessibility and Public Transport Mobility for a Smart(er) Island: Evidence from Sardinia (Italy) Sustainable Cities and Society, 2022 DOI:10.1016/j.scs.2022.104145

[3]	Accessibility and Public Transport Mobility for a Smart(er) Island: Evidence from Sardinia (Italy) Sustainable Cities and Society, 2022 DOI:10.1016/j.scs.2022.104145

[4]	Accessibility and Public Transport Mobility for a Smart(er) Island: Evidence from Sardinia (Italy) Sustainable Cities and Society, 2022 DOI:10.1016/j.scs.2022.104145

[5]	Applying optimization algorithms for spatial estimation of travel demand variables Transportation Research Interdisciplinary Perspectives, 2021 DOI:10.1016/j.trip.2021.100369

[6]	Ridership Estimation Along Bus Transit Lines Based on Kriging: Comparative Analysis Between Network and Euclidean Distances Journal of Geovisualization and Spatial Analysis, 2021 DOI:10.1007/s41651-021-00075-w

[7]	Applying optimization algorithms for spatial estimation of travel demand variables Transportation Research Interdisciplinary Perspectives, 2021 DOI:10.1016/j.trip.2021.100369

[8]	Shared mobility and transit-dependent population: A new equity opportunity or issue? International Journal of Sustainable Transportation, 2020 DOI:10.1080/15568318.2020.1747578

[9]	Sequential Gaussian Simulation as a Promising Tool in Travel Demand Modeling Journal of Geovisualization and Spatial Analysis, 2019 DOI:10.1007/s41651-019-0038-x

[10]	PROPOSAL OF A GEOSTATISTICAL PROCEDURE FOR TRANSPORTATION PLANNING FIELD Boletim de Ciências Geodésicas, 2017 DOI:10.1590/s1982-21702017000400042

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