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

Open Journal of Statistics

ISSN Print: 2161-718X
ISSN Online: 2161-7198
www.scirp.net/journal/ojs
E-mail: [email protected]

Citations

"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]	Analysis of spatial effects for a mode choice problem: a test proposal for spatial variability evaluation Boletim de Ciências Geodésicas, 2025 DOI:10.1590/s1982-21702025000100001

[2]	Using the Kriging Technique for Prediction of Non‐Continuous Phenomena in Unmeasured Locations: Dispelling the Myth Geographical Analysis, 2025 DOI:10.1111/gean.70022

[3]	Bypassing the lack of available travel disaggregated data: A geo-spatial framework to simulate mode choice Transportation Research Interdisciplinary Perspectives, 2025 DOI:10.1016/j.trip.2025.101735

[4]	Spatial Modeling of Travel Demand Accounting for Multicollinearity and Different Sampling Strategies: A Stop‐Level Case Study Journal of Advanced Transportation, 2024 DOI:10.1155/2024/7967141

[5]	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

[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]	Estimativa do volume de passageiros ao longo de uma linha de transporte público por ônibus a partir da geoestatística Transportes, 2019 DOI:10.14295/transportes.v27i3.2007

[10]	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

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

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