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- W2950675051 abstract "The classical travel demand modeling overlooks an important aspect normally found in the variables of interest: spatial autocorrelation. Recent researches recognize and include this characteristic in travel demand forecasting, but there are limitations regarding the basic elements of treatment used in the approaches. In order to overcome some of the problems and constraints associated with previous researches, the present study relied on spatial dependence between Boarding and Alighting observations, per bus stop, and Loading on sections along a public transport line to generate estimates of these variables in stops and sections that would not be sampled during the passenger Boarding and Alighting survey. This prediction was made by applying Ordinary Kriging to a bus line in the city of Sao Paulo, Brazil. The results confirmed the feasibility of applying Geostatistics to the estimation of travel demand variables along a bus line." @default.
- W2950675051 created "2019-06-27" @default.
- W2950675051 creator A5016571085 @default.
- W2950675051 creator A5034154564 @default.
- W2950675051 date "2019-06-07" @default.
- W2950675051 modified "2023-09-27" @default.
- W2950675051 title "Estimativa do volume de passageiros ao longo de uma linha de transporte público por ônibus a partir da Geoestatística" @default.
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- W2950675051 doi "https://doi.org/10.11606/d.18.2019.tde-26042019-110232" @default.
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