APPLYING MULTIVARIATE GEOSTATISTICS FOR TRANSIT RIDERSHIP MODELING AT THE BUS STOP LEVEL
نویسندگان
چکیده
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 data is its multivariate nature. However, regarding public transportation demand, there lack that scarce nature data, which generally are expensive collect, also need an appropriate level detail. Thus, main aim this study was estimate Boarding variable along bus line from city São Paulo - Brazil, by means geostatistical modeling at stop level. As specific objectives, comparative analysis conducted applying Universal Kriging, Ordinary Kriging Least Squares Regression for same proposed. From goodness-of-fit measures, results indicated Geostatistics competitive tool comparing classical modeling, emphasizing interpolator Kriging. Therefore, three contributions can be highlighted: (1) methodological advance using approach, level, on modeling; (2) benefits provided land use network planning; (3) resource savings field surveys collecting data.
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ژورنال
عنوان ژورنال: Boletim De Ciencias Geodesicas
سال: 2021
ISSN: ['1982-2170', '1413-4853']
DOI: https://doi.org/10.1590/1982-2170-2020-0069