Regional impacts of high-speed rail: a review of methods and models

References

• Adler N, Pels E, Nash C. (2010). High-speed rail and air transport competition: game engineering as tool for cost-benefit analysis, Transp. Res. Part B Methodol., 44, 812–833.
   Web of Science ®Google Scholar
• Amano K, Nakagawa D. (1990). Study on urbanization impacts by new stations of high speed railway, Conference of Korean transportation association, Dejeon City.
   Google Scholar
• Andersson ÅE, Anderstig C, Harsman B. (1990). Knowledge and communications infrastructure and regional economic change, Reg. Sci. Urban Econ., 20, (3), 359–376.
   Web of Science ®Google Scholar
• Arbuckle JL. (2011). IBM® SPSS® AmosTM 20 user’s guide, IBM, Chicago, IL.
   Google Scholar
• Aschauer DA. (1989a). Does public capital crowd out private capital? J. Monet. Econ., 24, (2), 171–188.
   Web of Science ®Google Scholar
• Aschauer DA. (1989b). Is public expenditure productive? J. Monet. Econ., 23, (2), 177–200.
   Web of Science ®Google Scholar
• Aschauer DA. (1990). Highway capacity and economic growth, Econ. Perspect., 14, (5), 14–24.
   Google Scholar
• Banister D, Berechman J. (2000). Transport investment and economic development, University College London Press, London.
   Google Scholar
• Bazin S, Beckerich C, Delaplace M, Masson S. (2006). La ligne à grande vitesse est-européenne en région Champagne-Ardenne. Un outil au service d’un processus de métropolisation?, Recherche Transports Sécurité 92, 171–185.
   Google Scholar
• Ben-Akiva M, Lerman SR. (1985). Discrete choice analysis: theory and applications to travel demand, Cambridge, MA/London, England, MIT Press.
   Google Scholar
• Blum U. (1982). Effects of transportation investments on regional growth: a theoretical and empirical investigation, Pap. Reg. Sci., 49, (1), 169–184.
   Google Scholar
• Boarnet MG. (1996). The direct and indirect economic effects of transportation infrastructure, Working Paper No. 340, Berkeley, University of California Transportation Center.
   Google Scholar
• Bollen KA, Stine RA. (1992). Bootstrapping goodness-of-fit measures in structural equation models, Sociol. Methods Res., 21, 205–229.
   Web of Science ®Google Scholar
• Bonnafous A. (1987). The regional impact of the TGV, Transportation, 14, (2), 127–137.
   Web of Science ®Google Scholar
• Botham RW (1980). The regional development: effects of road investment, Transportation Planning and Technology, 6, (2), 97–108.
   Google Scholar
• Bowman JL, Ben-Akiva ME. (2001). Activity-based disaggregate travel demand model system with activity schedules, Transp. Res. Part A Policy Pract., 35, (1), 1–28.
   Web of Science ®Google Scholar
• Bruinsma F, Rietveld P. (1998). The accessibility of European cities: theoretical framework and comparison of approaches, Environ. Plann. A, 30, (3), 499–521.
   Web of Science ®Google Scholar
• Carlino GA, Mills ES. (1987). The determinants of county growth, J. Reg. Sci., 27, (1), 39–54.
   PubMed Web of Science ®Google Scholar
• Ciccone A. (2002). Agglomeration effects in Europe, Euro. Econ. Rev., 46, (2), 213–227.
   Web of Science ®Google Scholar
• Ciccone A, Hall RE. (1996). Productivity and the density of economic activity, Am. Econ. Rev., 86, (1), 54–70.
   Web of Science ®Google Scholar
• Crow RT. (1979). Output determination and investment specification in macroeconometric models of open regions, Reg. Sci. Urban Econ., 9, (2–3), 141–158.
   Web of Science ®Google Scholar
• de Rus G, Inglada V. (1997). Cost-benefit analysis of the high-speed train in Spain, Ann. Reg. Sci., 31, 175–188.
   Web of Science ®Google Scholar
• Dodgson JS. (1974). Motorway investment, industrial transport costs, and sub-regional growth: a case study of the M62, Reg. Stud., 8, (1), 75–91.
   Web of Science ®Google Scholar
• Erenburg SJ. (1993). The real effects of public investment on private investment, Appl. Econ., 25, (6), 831–837.
   Web of Science ®Google Scholar
• Esteban Martín V. (1998). La alta velocidad ferroviaria en la Unión Europea. Su impactourbano en Francia y España. (High speed rail in the European Union. Urban impact in France and Spain). Geographicalia, 36, 19–32.
   Google Scholar
• European Commission. (1996). Interaction between high speed and air passenger transport – interim report, Interim Report on the Action COST 318, April. Brussels, EC.
   Google Scholar
• Evers GHM, Meer PH, Oosterhaven J, Polak JB. (1987). Regional impacts of new transport infrastructure: a multisectoral potentials approach, Transportation, 14, (2), 113–126.
   Web of Science ®Google Scholar
• Facchinetti-Mannone V. (2006). Garesexurbanisées et développementurbain: Le cas des gares TGV Bourguignonnes, Revue Géographique de l'Est 46, (1–2), 3–13.
   Google Scholar
• Forkenbrock DJ, Foster NSJ. (1990). Economic benefits of a corridor highway investment, Transp. Res. Part A Gen., 24, (4), 303–312.
   Google Scholar
• Forslund UM, Johansson B. (1995). Assessing road investments: accessibility changes, cost benefit and production effects, Ann. Reg. Sci., 29, (2), 155–174.
   Web of Science ®Google Scholar
• Friedman J. (1981). A conditional logit model of the role of local public services in residential choice, Urban Stud., 18, (3), 347–358.
   Web of Science ®Google Scholar
• Fujita M, Thisse JF. (2002). Economics of agglomeration: cities, industrial location, and regional growth. Cambridge, UK/New York, Cambridge University Press.
   Google Scholar
• Geurs KT, van Wee B. (2004). Accessibility evaluation of land-use and transport strategies: review and research directions, J. Transp. Geogr., 12, (2), 127–140.
   Google Scholar
• Gibbons S, Vignoles A. (2009). Access, choice and participation in higher education, CEE Discussion Paper No. 0101, Centre for the Economics of Education, LSE, London, UK.
   Google Scholar
• Givoni M. (2006). Development and impact of the modern high-speed train: a review, Transp. Rev., 26, (5), 593–611.
   Web of Science ®Google Scholar
• Givoni M, Banister D. (2006). Airline and railway integration, Transp. Policy, 13, 386–397.
   Web of Science ®Google Scholar
• Graham DJ. (2007). Agglomeration, productivity and transport investment, J. Transp. Econ. Policy 41, 317–343.
   Web of Science ®Google Scholar
• Guild RL. (2000). Infrastructure investment and interregional development, Public Works Manag. Policy, 4, (4), 274–285.
   Google Scholar
• Gutiérrez J. (2001). Location, economic potential and daily accessibility: an analysis of the accessibility impact of the high-speed line Madrid-Barcelona-French border, J. Transp. Geogr., 9, (4), 229–242.
   Google Scholar
• Gutiérrez J, González R, Gómez G. (1996). The European high-speed train network: predicted effects on accessibility patterns, J. Transp. Geogr., 4, (4), 227–238.
   Google Scholar
• Hägerstrand T. (1970). What about people in regional science? Pap. Reg. Sci., 24, (1), 6–21.
   Google Scholar
• Handy SL, Niemeier DA. (1997). Measuring accessibility: an exploration of issues and alternatives, Environ. Plann. A, 29, (7), 1175–1194.
   Web of Science ®Google Scholar
• Hansen WG. (1959). How accessibility shapes land use, J. Am. Inst. Plann., 25, (2), 73–76.
   Google Scholar
• Jöreskog KG, Sörbom D. (1993). Structural equation modeling with the SIMPLIS command language, Chicago: Scientific Software.
   Google Scholar
• Joseph AE, Bantock PR. (1982). Measuring potential physical accessibility to general practitioners in rural areas: a method and case study, Soc. Sci. Med., 16, (1), 85–90.
   PubMed Web of Science ®Google Scholar
• Keeble D, Owens PL, Thompson C. (1982). Regional accessibility and economic potential in the European community, Reg. Stud., 16, (6), 419–432.
   Web of Science ®Google Scholar
• Kessides C. (1993). The contribution of infrastructure to economic development (Discussion Paper No. 213), Washington, DC, World Bank.
   Google Scholar
• Kitamura R. (1997). Applications of models of activity behavior for activity based demand forecasting, Proceedings of the Activity-Based Travel Forecasting Conference in New Orleans, June, 1996, Washington DC, US DOT.
   Google Scholar
• Kwan M.-P. (1998). Space-time and integral measures of individual accessibility: a comparative analysis using a point-based framework, Geogr. Anal., 30, (3), 191–216.
   Web of Science ®Google Scholar
• Lee S, Hershberger S. (1990). A simple rule for generating equivalent models in covariance structure modeling, Multivariate Behav. Res., 25, 313–334.
   PubMed Web of Science ®Google Scholar
• Levinson D, Mathieu JM, Gillen D, Kanafani A. (1997). The full cost of high-speed rail: an engineering approach. Ann. Reg. Sci., 31, (2), 189–215.
   Web of Science ®Google Scholar
• Li S.-M, Shum Y.-M. (2001). Impacts of the national trunk highway system on accessibility in China, J. Transp. Geogr., 9, (1), 39–48.
   Google Scholar
• López E, Gutiérrez J, Gomez G. (2008). Measuring regional cohesion effects of large-scale transport infrastructure investments: an accessibility approach, Euro. Plann. Stud., 16, (2), 277–301.
   Web of Science ®Google Scholar
• Mannone V. (1995). L’impactrégional du TGV Sud-Est, PhD thesis, University of Aix-Marseille II, Marseille.
   Google Scholar
• Martin F. (1997). Justifying a high-speed rail project: social value vs. regional growth, Ann. Reg. Sci., 31, (2), 155–174.
   Web of Science ®Google Scholar
• Munnell AH. (1990). How does public infrastructure affect regional economic-performance, in Is there a shortfall in public capital investment, Editors: Alicia H Munnell, Leah M Cook, Harwich Port, MA, USA, Federal Reserve Bank of Boston, Vol. 34, 69–103.
   Google Scholar
• Nakamura H, Ueda T. (1989). The impacts of the Shinkansen on regional development, Proc. 5th World Conf. on ‘Transport research’, Yokohama, Vol. III, Ventura, CA, Western Periodicals.
   Google Scholar
• Nijkamp P. (1986). Infrastructure and regional development: a multidimensional policy analysis, Empirical Economics, 11, (1), 1–21.
   Google Scholar
• OECD/International Transport Forum. (2009). Competitive interaction between airports, airlines and high-speed rail, ITF Round Tables, No.145, OECD Publishing, Leipzig, Germany.
   Google Scholar
• Ozbay K, Ozmen D, Berechman J. (2006). Modeling and analysis of the link between accessibility and employment growth, J. Transp. Eng., 132, (5), 385–393.
   Web of Science ®Google Scholar
• Pacheco E. (2004). Evolução e Planeamento da Rede de Transportes em Portugal. Alteração das Acessibilidades e Dinâmicas Territoriais da Região Norte, PhD thesis, Faculdade de Letras, Universidade do Porto, Porto.
   Google Scholar
• Pereira A, Andraz J. (2006). Public investment in transportation infrastructures and regional asymmetries in Portugal, Ann. Reg. Sci., 40, (4), 803–817.
   Web of Science ®Google Scholar
• Pereira AM, Roca-Sagalés O. (2003). Spillover effects of public capital formation: evidence from the Spanish regions, J. Urban Econ., 53, (2), 238–256.
   Web of Science ®Google Scholar
• Plassard F. (1991). Transport and the spatial distribution of activities, Round Table 85, Economic Research Centre, European Conference of Ministers of Transport, OECD, Paris.
   Google Scholar
• Pol P. (2003). The economic impact of the high-speed train on urban regions, ERSA conference papers, European Regional Science Association, Jyväskylä, Finland.
   Google Scholar
• Quigley JM. (1976). Housing demand in the short-run: an analysis of polytomous choice, Explor. Econ. Res., 3, 76–102.
   Google Scholar
• Rietveld P. (1989a). Employment effects of changes in transportation infrastructure: methodological aspects of the gravity model, Pap. Reg. Sci., 66, (1), 19–30.
   Google Scholar
• Rietveld P. (1989b). Infrastructure and regional development, Ann. Reg. Sci., 23, (4), 255–274.
   Web of Science ®Google Scholar
• Román C, Espino R, Martín JC. (2007). Competition of high-speed train with air transport: the case of Madrid–Barcelona, J. Air Transp. Manag., 13, 277–284.
   Web of Science ®Google Scholar
• Sá C, Florax RJGM, Rietveld P. (2004). Does accessibility to higher education matter? Choice behavior of high school graduates in the Netherlands, Tinbergen Institute Discussion Paper No. 04-061/3, Tinbergen Institute, Amsterdam, The Nederlands.
   Google Scholar
• Sanchez-Robles B. (1998). Infrastructure investment and growth: some empirical evidence, Contemp. Econ. Policy, 16, (1), 98–108.
   Web of Science ®Google Scholar
• Sasaki K, Ohashi T, Ando A. (1997). High-speed rail transit impact on regional systems: does the Shinkansen contribute to dispersion? Ann. Reg. Sci., 31, (1), 77–98.
   Web of Science ®Google Scholar
• Schermelleh-Engel K, Moosbrugger H, Müller H. (2003). Evaluating the fit of structural equation models: tests of significance and descriptive goodness-of-fit measures, Methods Psychol. Res. Online, 8, 23–74.
   Google Scholar
• Shen Q. (1998). Location characteristics of inner-city neighborhoods and employment accessibility of low-wage workers, Environ. Plann. B Plann. Des., 25, (3), 345–365.
   Web of Science ®Google Scholar
• Steiger JH. (1990). Structural model evaluation and modification: an interval estimation approach, Multivariate Behav. Res., 25, 173–180.
   PubMed Web of Science ®Google Scholar
• Tira M, Tiboni M, Badiani B. (2002). High speed/high capacity railway and regional development – evaluation of effects on spatial accessibility, ERSA conference papers, European Regional Science Association, Dortmund, Germany.
   Google Scholar
• Union Internationales des Chemins de Fer. (2008). Infrastructure charges for high performance passenger services in Europe, Paris, UIC.
   Google Scholar
• Ureña JM, Menerault P, Garmendia M. (2009). The high-speed rail challenge for big intermediate cities: a national, regional and local perspective, Cities, 26, (5), 266–279.
   Web of Science ®Google Scholar
• van Exel J, Rienstra S, Gommers M, Pearman A, Tsamboulas D. (2002). EU involvement in TEN development: network effects and European value added, Transp. Policy, 9, (4), 299–311.
   Google Scholar
• van Wee B, Hagoort M, Annema JA. (2001). Accessibility measures with competition, J. Transp. Geogr., 9, (3), 199–208.
   Google Scholar
• Venables AJ. (2007). Evaluating urban transport improvements: cost benefit analysis in the presence of agglomeration and income taxation, J. Transp. Econ. Policy, 41, 173–188.
   Web of Science ®Google Scholar
• Vickerman R. (1997). High-speed rail in Europe: experience and issues for future development, Ann. Reg. Sci., 31, (1), 21–38.
   Web of Science ®Google Scholar
• Washington S, Karlaftis MG, Mannering FL. (2003). Statistical and econometric methods for transportation data analysis. Boca Raton, FL, Chapman & Hall/CRC.
   Google Scholar
• Weisbrod G, Weisbrod B. (1997). Assessing the economic impacts of transportation projects, Transportation Research Circular 477, Washington, DC, Transportation Research Board.
   Google Scholar
• Willigers J, Floor H, van Wee B. (2005). High-speed rails impact on the location of office employment within the Dutch Randstad area, 45th Congress of the European Regional Science Association, Amsterdam, The Netherlands.
   Google Scholar
• Wilson AG. (1971). A family of spatial interaction models, and associated developments, Environ. Plann., 3, (1), 1–32.
   Web of Science ®Google Scholar
• Xu Z, Weixin L, Quande C, Bingru Z. (2012). Research on dynamic pricing between high speed rail and air transport under the influence of induced passenger flow, Inf. Technol. J., 11, 431–435.
   Google Scholar