| Revista: | Boletim de ciencias geodesicas |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000457265 |
| ISSN: | 1413-4853 |
| Autores: | Marques, Samuel de Franca1 Pitombo, Cira Souza1 |
| Instituciones: | 1Universidade de Sao Paulo, Escola de Engenharia de Sao Carlos, Sao Carlos, Sao Paulo. Brasil |
| Año: | 2021 |
| Volumen: | 27 |
| Número: | 2 |
| País: | Brasil |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Analítico, descriptivo |
| Resumen en inglés | Travel demand models have been developed and refined over the years to consider a characteristic normally found in travel data: spatial autocorrelation. Another important feature of travel demand data is its multivariate nature. However, regarding the public transportation demand, there is a lack of multivariate spatial models that consider the scarce nature of travel data, which generally are expensive to collect, and also need an appropriate level of detail. Thus, the main aim of this study was to estimate the Boarding variable along a bus line from the city of São Paulo - Brazil, by means of a multivariate geostatistical modeling at the bus stop level. As specific objectives, a comparative analysis conducted by applying Universal Kriging, Ordinary Kriging and Ordinary Least Squares Regression for the same travel demand variable was proposed. From goodness-of-fit measures, the results indicated that Geostatistics is a competitive tool comparing to classical modeling, emphasizing the multivariate interpolator Universal Kriging. Therefore, three main contributions can be highlighted: (1) the methodological advance of using a multivariate geostatistical approach, at the bus stop level, on public transportation demand modeling; (2) the benefits provided by the models regarding the land use and bus network planning; and (3) resource savings of field surveys for collecting travel data |
| Disciplinas: | Geociencias |
| Palabras clave: | Geodesia, Geoestadística, Tránsito, Datos de viaje, Krigeaje ordinario, Krigeaje universal |
| Keyword: | Geodesy, Geostatistics, Transit ridership, Travel data, Universal Kriging, Ordinary Kriging, Linear Regression |
| Texto completo: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
