Recogida de datos y modelización de la demanda de transporte en la República Dominicana: Revisión de literatura

dc.creatorLa Paix Puello, Lissy
dc.date2018-01-01
dc.date.accessioned2020-09-10T20:26:55Z
dc.date.available2020-09-10T20:26:55Z
dc.descriptionThe 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.en-US
dc.descriptionLa 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.es-ES
dc.formatapplication/pdf
dc.formattext/html
dc.identifierhttps://revistas.intec.edu.do/index.php/cite/article/view/1215
dc.identifier10.22206/cyap.2018.v1i1.pp79-98
dc.identifier.urihttps://repositoriobiblioteca.intec.edu.do/handle/123456789/2824
dc.languagespa
dc.publisherInstituto Tecnológico de Santo Domingo (INTEC)es-ES
dc.relationhttps://revistas.intec.edu.do/index.php/cite/article/view/1215/1584
dc.relationhttps://revistas.intec.edu.do/index.php/cite/article/view/1215/html_LissyLaPaixPuello
dc.relation/*ref*/Alonso, W. (1964). Location and Land Use: toward a General Theory of Land Rent. Cambridge: Harvard University Press.
dc.relation/*ref*/Bernardi, S., Puello, L.L.P. & Geurs, K.T. (submitted). The evaluation of Dutch cycling patterns: evidence from smartphone data. Journal of Transport and Land Use.
dc.relation/*ref*/Bhat, C. & Koppelman, F. (1999). A retrospective and prospective survey of time-use research. Transportation, 26(2): 119-139.
dc.relation/*ref*/Bhat, C., Srinivasan, S. (2005). A multidimensional mixed ordered-response model for analyzing weekend activity participation. Transportation Research Part B: Methodological, 39(3): 255278.
dc.relation/*ref*/Boarnet, M., Sarmiento, S. Can land-use policy really affect travel behaviour? A study of the link between non-work travel and landuse characteristics. Urban Studies, 35(7): 1155-1169.
dc.relation/*ref*/Cardozo, O., Gutiérrez Puebla, J. & García Palomares, J.C. Influencia de la morfología urbana en la demanda de transporte público. Geofocus, (10)4.
dc.relation/*ref*/Cervero, R. & Kockelman, K. (1997a). Travel Demand and the 3 Ds: Density, Diversity and Design. Transportation Research Part D, Vol. 2, 199-219.
dc.relation/*ref*/Cervero, R. & Kockelman, K. (1997b). Travel demand and the 3Ds: Density, diversity, and design. Transportation Research Part D: Transport and Environment, 2(3), 199-219.
dc.relation/*ref*/Cervero, R., Murphy, S., Ferrell, C., Goguts, N. & Tsai, Y.H. (2004). Transit-Oriented Development in America: Experiences, Challenges and Prospects. In, vol. TCRP Report 102. Transportation Research Board, Washington D.C.: National Research Council.
dc.relation/*ref*/Cherchi, E. Modelling individual preferences, state of the art, recent advances and future directions. In: 12th International Conference on Travel Behaviour Research (IATBR), Jaipur, India, 13-18 December, 2009.
dc.relation/*ref*/De Souza, F., La Paix Puello, L., Brussel, M., Orrico, R. & van Maarseveen, M. (2017). Modelling the potential for cycling in access trips to bus, train and metro in Rio de Janeiro. Transportation Research Part D: Transport and Environment, 56, 55-67.
dc.relation/*ref*/Delmelle, E.C. & Casas, I. Evaluating the spatial equity of bus rapid transit-based accessibility patterns in a developing country: The case of Cali, Colombia. Transport Policy, 20(0): 36-46.
dc.relation/*ref*/Dieleman, F.M., Dijst, M. & Burghouwt, G. Urban form and travel behaviour: micro-level household attributes and residential context. Urban Studies, 39(3): 507-527.
dc.relation/*ref*/Domencich, T. & McFadden, D. (1975). Urban travel demand: a behavioral analysis / Thomas A. Domencich and Daniel McFaden. Vol. Book, Whole. Amsterdam: North-Holland, New York: American Elservier.
dc.relation/*ref*/El-Geneidy, A.M., Tétreault, P.R. Surprenant-Legault, J. (2018) Pedestrian access to transit: Identifying redundancies and gaps using a variable service area analysis. Automated Vehicles Symposium. San Francisco, CA.
dc.relation/*ref*/Ewing, R. (1993). Transportation service standards-as if people matter. Transportation Research Record 1400, 10-17.
dc.relation/*ref*/Friedman, B., Gordon, S.P. & Peers, J.B. (1994). Effect of neotraditional neighborhood design on travel characteristics. In Transportation Research Record: Journal of the Transportation Research Board, No. 1446, Transportation Research Board of the National Academies, Washington, D.C.,1466, 63-70.
dc.relation/*ref*/García-Palomares, J.C. Urban sprawl and travel to work: the case of the metropolitan area of Madrid. Journal of Transport Geography, 18(2): 197-213.
dc.relation/*ref*/Geurs, K., Bok, M.d. & Zondag, B. (2012). Accessibility benefits of integrated land use and public transport policy plans in the Netherlands. In: Geurs, K.T., Krizek, K. & Reggiani, A. (eds.) Accessibility Analysis and Transport Planning: Challenges for Europe and North America.
dc.relation/*ref*/Geurs, K. & Wee, B.v. (2013). Accessibility: perspectives, measures and applications. In: B. van Wee, J.A.A., D. Banister (ed). The Transport System and Transport Policy: An Introduction.
dc.relation/*ref*/Geurs, K.T., & Van Wee, B. (2004a). Accessibility evaluation of landuse and transport strategies: review and research directions. Journal of Transport geography, 12: 127-140.
dc.relation/*ref*/Geurs, K.T. & Van Wee, B. (2004b). Land-use/transport interaction models as tools for sustainability impact assessments of transport investments: review and research directions. European Journal of Transport and Infrastructure Research, 4(3): 333355.
dc.relation/*ref*/Gutiérrez, J., Cardozo, O.D. & García-Palomares, J.C. Transit ridership forecasting at station level: an approach based on distance-decay weighted regression. Journal of Transport Geography, 19(6): 1081-1092.
dc.relation/*ref*/Handy, S., Cao, X. & Mokhtarian, P. (2005). Correlation or causality between the built environment and travel behavior? Evidence from Northern California. Transportation Research Part D, 10(6), 427-444.
dc.relation/*ref*/Hanson, S. (1982). The determinants of daily travel-activity patterns: relative location and sociodemographic factors. Urban Geography, 3(3): 179-202.
dc.relation/*ref*/Howell, A. & Páez, A. Urban Geography, Household Context, and Car Ownership: A case Study in Hamilton, Ontario. Transport Research Board.
dc.relation/*ref*/Kitamura, R., Mokhtarian, P.L. & Daidet, L. A micro-analysis of land use and travel in five neighborhoods in the San Francisco Bay Area. Transportation, 24(2): 125-158. 96
dc.relation/*ref*/La Paix, L. (2010). Relación entre la generación de viajes y la densidad urbana: caracterización de la movilidad con modelos probit ordenados. In: IX Conference of Transport Engineering (CIT), 2010.
dc.relation/*ref*/La Paix, L. (2012). Modelling the Impact of Built Environment, Geographical Scales and Latent Constructs on Individual Travel Behaviour. Doctoral Thesis. Universidad Politécnica de Madrid.
dc.relation/*ref*/La Paix, L., Bierlaire, M., Cherchi, E. & Monzón, A. (2010). How urban environment affects travel behaviour? Integrated Choice and Latent Variable Model for Travel Schedules. In: Book of Selected Papers of 2º International Choice Modelling Conference, vol. Stephane Hess and Andrew Daly. London, U.K.: Emerald.
dc.relation/*ref*/La Paix, L., Monzón, A. & Cherchi, E. (2010). Location effects and Trip generation: evidence from Madrid Metropolitan Area. In: XII World Conference on Transport Research, 2010.
dc.relation/*ref*/La Paix, L., Monzón, A., Cherchi, E. (2012). Modelling the relationship between urban environment and travel behaviour: policy and indicators. In: MOBIL.TUM 2012 International Scientific Conference on Mobility and Transport, vol. Munich, Germany. Munich.
dc.relation/*ref*/La Paix Puello, L., Chowdhury, S. & Geurs, K. Using panel data for modelling duration dynamics of outdoor leisure activities. Journal of Choice Modelling.
dc.relation/*ref*/La Paix Puello, L. & Geurs, K. Modelling observed and unobserved factors in cycling to railway stations: application to transit-oriented-developments in the Netherlands. European Journal of Transport Infrastructure Research, 15(1): 27-50.
dc.relation/*ref*/La Paix Puello, L. & Geurs, K. Integration of unobserved effects in generalised transport access costs of cycling to railway stations. European Journal of Transport and Infrastructure Research, 16(2): 385-405.
dc.relation/*ref*/La Paix Puello, L., Olde-Kalter, M.-J., Geurs, K.T. (2017). Measurement of non-random attrition effects on mobility rates using trip diaries data. Transportation Research Part A: Policy and Practice, 106, 51-64.
dc.relation/*ref*/McFadden, D. The measurement of urban travel demand. Journal of Public Economics, 3: 303-328.
dc.relation/*ref*/McFadden, D. (1981). Econometric Models of Probabilistic Choice. In: Manski, C.F., McFadden, D. (eds.) Structural analysis of discrete data with economic applications, 198-272. Cambridge: MIT Press.
dc.relation/*ref*/Monzón, A., La Paix, L., Delgado, M.A. & Fernández, A. (2008). Influencia de la localización en los patrones de movilidad metropolitana; análisis comparado según tipologia de encuesta. Estudios de Construcción y Transportes, 108(0), 203-210.
dc.relation/*ref*/Paez, A., Scott, D., Potoglou, D., Kanaroglou, P. & Newbold, K.B. Elderly mobility: Demographic and spatial analysis of trip making in the Hamilton CMA, Canada. Urban Studies, 44(1): 123-146.
dc.relation/*ref*/Pushkarev, B. & Zupan, J.M. (1977). Public transportation and land use policy. vol. Book, Whole. Indiana: University Pr.
dc.relation/*ref*/Thomas, T., Puello, L.L.P. & Geurs, K. Intrapersonal mode choice variation: evidence from a four-week smartphone-based travel survey in the Netherlands. Journal of Transport Geography. (in press).
dc.relation/*ref*/White Mountain Survey, C. (1991). White Mountain Survey Company, City of Portsmouth Traffic/Trip Generation Study, vol. unpublished. White Mountain Survey Company, City of Portsmouth Traffic/Trip Generation Study., vol. Book, WholeOssippeee, New Hampshire.
dc.relation/*ref*/Yáñez, M.F., Mansilla, P. & de Dios Ortúzar, J. The Santiago Panel: Measuring the effects of implementing Transantiago. Transportation, 37(1): 125-149.
dc.rightsDerechos de autor 2018 Ciencia, Ingenierías y Aplicacioneses-ES
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0es-ES
dc.sourceScience, Engineering and Applications; Vol 1 No 1 (2018): Science, Engineering and Applications; 79-98en-US
dc.sourceCiencia, Ingenierías y Aplicaciones; Vol. 1 Núm. 1 (2018): Ciencia, Ingenierías y Aplicaciones; 79-98es-ES
dc.source2636-2171
dc.source2636-218X
dc.source10.22206/cyap.2018.v1i1
dc.subjecttransportation demand modelingen-US
dc.subjectpassengers inertiaen-US
dc.subjecttransportationen-US
dc.subjectsustainable movibilityen-US
dc.subjecthabit effectsen-US
dc.subjectmodelización de demanda de transportees-ES
dc.subjectinercia de pasajeroses-ES
dc.subjecttransportees-ES
dc.subjectmovilidad sosteniblees-ES
dc.subjectefectos de hábitoses-ES
dc.titleData collection and modeling of the transportation demand in the Dominican Republic: Literature Reviewen-US
dc.titleRecogida de datos y modelización de la demanda de transporte en la República Dominicana: Revisión de literaturaes-ES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeArt.es-ES
Files
Collections