Influencia de la morfología urbana en la demanda de transporte públicoAnálisis mediante sig y modelos de regresión múltiple

Bibliographische Referenzen

• Banister, D. (2008). “The sustainable mobility paradigm”. Transport Policy 15 (1), 73-83.
• Cervero, R. (1994): “Rail-oriented office development in California: How Successful?”, Transportation Quarterly, 48, 33-44.
• Cervero, R. (2004): Transit oriented development in America: Contemporary practices, impacts, and policy directions. International Planning Symposium on Incentives, Regulations, and Plans – The Role of States and Nation-States in Smart Growth Planning. University of Maryland. [Consulta: 05-06-2007]. Disponible en http://www.smartgrowth.umd.edu
• Cervero, R. (2006): “Alternative approaches to modeling the travel-demand impacts of smart growth”, Journal of the American Planning Association, 72, 3, 285-295.
• Cervero, R. (2007): “Transit oriented development's ridership bonus: a product of self selection and public policies”, Environment and Planning, A, 39, 2068-2085.
• Cervero R. y Landis J. (1993): “Assessing the impacts of urban rail transit on local real estate markets using quasi-experimental comparisons”, Transportation Research, 27A, 1, 13-22.
• Cervero, R. y Kockelman, K. (1997): “Travel demand and the 3ds: density, diversity, and design”, Transportation Research, D, 2, 199-219.
• Chakraborty, J. y Armstrong, M. (1997): “Exploring the use of buffer analysis for the identification of impacted areas in environmental equity assessment”, Cartography and Geographic Information Systems, 24, 3, 145-157.
• Currie, G. (2006): “Bus transit oriented development. Strengths and challenges relative to rail”, Journal of Public Transportation, 9, 4, 1-22.
• European Commission (2007). Green Paper: Towards a new culture for urban mobility. Directorate General for Energy and Transport. Clean transport and urban transport unit, Brussels. [Consulta: 25-08-2009]. Disponible en http://eur-lex.europa.eu
• Ewing, R. y Cervero, R. (2002): “Travel and the built environment: A synthesis”, Transportation Research Record, 1780, 87-113.
• Friedman, B., Gordon, S.P., Peers, J.B. (1994). Effect of neo-traditional neighborhood design on travel characteristics. Transportation Research Record 1466, 63–70.
• García Palomares, J.C.; Cardozo, O. y Gutiérrez Puebla, J. (2008): Sistemas de Información Geográfica como herramienta en la estimación de las entradas en las estaciones de metro en Madrid. Las Palmas, XIII Congreso Nacional de Tecnologías de la Información Geográfica.
• García Palomares, J. y Gutiérrez Puebla, J. (2007). “Pautas de la movilidad en la Comunidad de Madrid”, Cuadernos de Geografía de la Universidad de Valencia, 81/82, pp. 7-29
• Giuliano, G. (2003): “Residential location, race/ethnicity and travel behavior”, Transportation Research. A, 37, 4, 351-372.
• Gutiérrez, J.; García, J. C.; Alventosa, C.; Redondo. J.C. y Paniagua, E. (2002): “Accesibilidad peatonal a la red sanitaria de asistencia primaria en Madrid”, Anales de Geografía de la Universidad Complutense de Madrid, Volumen Extraordinario (Homenaje al Profesor José María Sanz García), pp. 265-276
• Gutiérrez, J.; Cardozo, O. y García, J. C. (en prensa): “Transit ridership forecasting at station level: an approach based on regression models, distance decay functions and GIS”. Journal of Transport Geography.
• Gutiérrez, J. y García Palomares, J. (2008): “Distance-measure impacts on the calculation of transport service areas using GIS”, Environment and Planning B Planning and Design, 35, 3, 480-503.
• Handy, S.; Paterson, R. y Butler, K. (2004): “Planning for Street Connectivity: Getting From Here to There”, Planning Advisory Service Report 515, American Planning Association.
• Hansen, W.G. (1959): “How accessibility shapes land-use”. Journal of the American Institute of Planners, 5, pp.76-106
• Hsiao, S.; Lu, J.; Sterling, J. y Weatherford, M. (1997): “Use of geographic information systems for analysis of transit pedestrian access”, Transportation Research Record, 1604, 50-59.
• Khattak, A. y Rodríguez, D. (2005): “Travel behavior in neo-traditional neighborhoods: A case study in USA”, Transportation Research Part A, 39, 6, 481-500.
• Keijer, M. y Rietveld, R. (2000): “How do people get to the railway station? The Dutch experience”, Transportation Planning and Technology, 3, 23, 215-135.
• Kuby, M, Barranda, A and Upchurch, C (2004): Factors influencing light-rail station boardings in the United States. Transportation Research A, 38, 3, 223-247.
• Lawton, K. (2001): The Urban Structure and Personal Travel: an Analysis of Portland, Oregon. Data and Some National and International Data, E-Vision 2000 Conference (www.rand.org/scitech/stpi/Evision/Supplement/lawton.pdf).
• Lee, B. y McDonald, J. (2003): “Determinants of commuting time and distance for Seoul residents: the impact of family status on the commuting of women”, Urban Studies, 40, 7, 1283-1302.
• Litman, T. (2008). Use impacts on transport. how land use factors affect travel behavior. Victoria Transport Policy Institute. www.vtpi.org
• Litman, T. (2009). Evaluating transportation land use impacts. Victoria Transport Police Institute. www.vtpi.org
• Loutzenheiser, D. (1997): “Pedestrian access to transit. Model to walk trips and their design and urban form determinants around Bay Area Rapid Transit Stations” Transportation Research Record, 1604, 40-49.
• Miller, H. (1999): “Potential contributions of spatial analysis to geographic information systems for transportation (GIS-T)”. Geographical Analysis, 31 373-399.
• Miller, H. y Shaw, S. (2001): Geographic information systems for transportation: principles and applications, Oxford University Press, New York.
• Miralles i Guasch, C. (2002): “Transporte y territorio urbano: del paradigma de la causalidad al de la dialéctica”, Documents d'anàlisi geogràfica, 41, 107-120.
• Moreno, A. y Prieto, M. (2003): “Evaluación de los procedimientos para delimitar áreas de servicio de líneas de transporte urbano con Sistemas de Información Geográfica”, Investigaciones Regionales, 2, 85-102.
• Murray, A. (2001): “Strategic analysis of public transport coverage”, Socio-Economic Planning Sciences, 35, 175-188.
• Murray, A.; Davis, R.; Stimson, R. y Ferreira, L. (1998): “Public transport access”, Transportation Research D, 319-328.
• Nyerges, T. (1995). “Geographic information system support for urban/regional transport analysis”. Ed. S Hanson: The geography of urban transportation. Guilford Press, New York 240-268.
• O´Neill, W. Ramsey, R. y Chou, J. (1992): “Analysis of transit service areas using geographic information systems”, Transportation Research Record, 1364, 131-138.
• Pozueta, J. (2005): “Situación y perspectivas de la movilidad en las ciudades. Visión general y el caso de Madrid”. Cuadernos de Investigación Urbanística, 45.
• Sanromá, E. y Ramos, R. (1998): “Interregional wage differences in Spain. A microdata analysis for 1990”, Review of Regional Research, 2.
• Seskin, S. y Cervero, R. (1996): Transit and urban form. Washington, DC: Federal Transit Administration.
• Taylor, B y Fink, F. (2003): The factors influencing transit ridership: a review and analysis of the ridership literature. UCLA-Los Angeles Transit Administration.
• Tumlin, J. y Millard-Ball, A. (2003): “How to make transit-oriented development work,” Planning Magazine, American Planning Association (www.planning.org), May 2003.
• Zhao, F.; Chow, L.; Li, M.; Gan, A. y Ubaka, I. (2003): “Forecasting transit walk accessibility: a regression model alternative to the buffer method”, Transportation Research Board. Annual Meeting.