Recogida de datos y modelización de la demanda de transporte en la República Dominicana: Revisión de literatura
Files
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
View full text
Date
Authors
Subject
transportation demand modeling
passengers inertia
transportation
sustainable movibility
habit effects
modelización de demanda de transporte
inercia de pasajeros
transporte
movilidad sostenible
efectos de hábitos
passengers inertia
transportation
sustainable movibility
habit effects
modelización de demanda de transporte
inercia de pasajeros
transporte
movilidad sostenible
efectos de hábitos
Language:
Journal Title
Journal ISSN
Volume Title
Publisher
Instituto Tecnológico de Santo Domingo (INTEC)
La apertura de un nuevo modo de transporte genera cambios en la movilidad de los viajeros en su área de servicio. Sin embargo, la omisión de efectos de hábitos e inercia puede producir resultados sesgados en la predicción de la demanda. Los viajeros reaccionan diferente en cuanto a la selección de modos de transporte según sean sus hábitos de selección modal más o menos fuertes. Igualmente, la literatura ha demostrado que el comportamiento pasado es la mejor predicción del comportamiento futuro. Por tanto, el principal objetivo del presente documento es revisar la literatura correspondiente a la modelización de la demanda de viajeros entre distintos modos de transporte de la ciudad de Santo Domingo. Igualmente, se incluye una breve reseña sobre el uso de nuevas tecnologías, tales como los GPS y smartphones para la recogida de datos, y un análisis de accesibilidad. Finalmente, se describen los modelos de demanda para analizar futuras políticas de transporte urbano en la República Dominicana.
The use of new transportation modes generate a change in the mobility of passengers in their service area. However, omission of habit effects can result in biased results in the demand predictions. Travelers react differently about the selection of transportation modes depending on their selection mode habits. Similarly, the literature has demonstrated that past behavior is the best predictor of future behavior. For this reason, the main objective of this paper is to review the literature corresponding to travelers demand modeling among different transportation modes in Santo Domingo. Similarly, a brief summary of the use of new technologies such as GPS and smartphones for data collection, and an accessibility analysis is included. Finally, demand models to analyze future urban transportation policies in the Dominican Republic are discussed.
The use of new transportation modes generate a change in the mobility of passengers in their service area. However, omission of habit effects can result in biased results in the demand predictions. Travelers react differently about the selection of transportation modes depending on their selection mode habits. Similarly, the literature has demonstrated that past behavior is the best predictor of future behavior. For this reason, the main objective of this paper is to review the literature corresponding to travelers demand modeling among different transportation modes in Santo Domingo. Similarly, a brief summary of the use of new technologies such as GPS and smartphones for data collection, and an accessibility analysis is included. Finally, demand models to analyze future urban transportation policies in the Dominican Republic are discussed.
Description
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Art.
info:eu-repo/semantics/publishedVersion
Art.
Source
Science, Engineering and Applications; Vol 1 No 1 (2018): Science, Engineering and Applications; 79-98
Ciencia, Ingenierías y Aplicaciones; Vol. 1 Núm. 1 (2018): Ciencia, Ingenierías y Aplicaciones; 79-98
2636-2171
2636-218X
10.22206/cyap.2018.v1i1
Ciencia, Ingenierías y Aplicaciones; Vol. 1 Núm. 1 (2018): Ciencia, Ingenierías y Aplicaciones; 79-98
2636-2171
2636-218X
10.22206/cyap.2018.v1i1