Abstract
While most aggregate studies of transit ridership are conducted at either the stop or the route level, the present study focused on factors affecting Metro ridership in the Seoul metropolitan area at the station-to-station level. The station-to-station analysis made it possible to distinguish the effect of origin factors on Metro ridership from that of destination factors and to cut down the errors caused by the aggregation of travel impedance-related variables. After adopting two types of direct-demand patronage forecasting models, the multiplicative model and the Poisson regression model, the former was found to be superior to the latter because it clearly identified the negative influences of competing modes on Metro ridership. Such results are rarely found with aggregate level analyses. Moreover, the importance of built environment in explaining Metro demand was confirmed by separating built environment variables for origin and destination stations and by differentiating ridership by the time of day. For morning peak hours, the population-related variables of the origin stations played a key role in accounting for Metro ridership, while employment-related variables prevailed in destination stations. In evening peak hours, both employment- and population-related variables were significant in accounting for the Metro ridership at the destination station. This showed that a significant number of people in the Seoul metropolitan area appear to take various non-home-based trips after work, which is consistent with the results from direct household travel surveys.
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References
ALGOGA: http://www.algoga.org/ (2010)
Bhat, C.R., Guo, J.Y.: A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels. Transp. Res. Part B 41, 506–526 (2007)
Boyle, D.K.: Fixed-route Transit Ridership Forecasting and Service Planning Methods. TCRP synthesis 66. Transportation Research Board, Washington (2006)
Canepa, B.: Bursting the bubble: determining the transit-oriented development’s walkable limits. Transp. Res. Rec. J. Transp. Res. Board, No. 1992, 28–34 (2007)
Cao, X., Mokhtarian, P.L., Handy, S.L.: The relationship between the built environment and non-work travel: a case study of Northern California. Transp. Res. Part A 43, 548–559 (2009)
Cervero, R.: Alternative approaches to modeling the travel-demand impacts of smart growth. J. Am. Plan. Assoc. 72(3), 285–295 (2006)
Cervero, R., Kockelman, K.: Travel demand and the 3Ds: density, diversity, and design. Transp. Res. Part D 2(3), 199–219 (1997)
Cervero, R., Murakami J.: Rail + property development: a model of sustainable transit finance and urbanism. Working paper. UC Berkeley Center for Future Urban Transport, UCB-ITS-VWP-2008-5, pp. 82–88 (2008)
Chu, X.: Ridership models at the stop level. National Center for Transit Research, Center for Urban Transportation Research, University of South Florida, Tampa (2004)
Estupiñán, N., Rodríguez, D.A.: The relationship between urban form and station boardings for Bogota’s BRT. Transp. Res. Part A 42(2), 296–306 (2008)
Ewing, R., Bartholomew, K., Winkelman, S., Walters, J., Chen, D.: Growing Cooler: The Evidence on Urban Development and Climate Change. Urban Land Institute, Washington, DC (2008)
Flowerdew, R.: Poisson regression modeling of migration. In: Stillwell, J., Congdon, P. (eds.) Migration Models: Macro and Micro Approaches, pp. 92–112. Belhaven, London (1991)
Forsyth, A., Oakes, J.M., Schmitz, K.H.: The built environment, walking, and physical activity: is the environment more important to some people than others? Transp. Res. Part D 14(1), 42–49 (2009)
Golledge, R.G., Stimson, R.J.: Spatial Behaviour. The Guilford Press, New York (1997)
Gurmu, S., Trivedo P.K.: Recent Developments in Models of Event Counts: A Survey. Discussion Paper 261. Department of Economics, University of Virginia, Charlottesville (1994)
Hair, J.F., Anderson, R.E., Tatham, R.L.: Multivariate Data Analysis. Macmillan, New York (1987)
Hamin, E.M., Gurran, N.: Urban form and climate change: balancing adaptation and mitigation in the U.S. and Australia. Habitat Int. 33, 238–245 (2009)
Hannon, J.T., Moore, R.P., Ryan, L.W.: Burns Waterway boat capacity study. In: Proceeding on the First International Conference on World Marina ‘91, Long Beach, CA. ASCE, New York (1991)
Ivy, R.L.: The restructuring of air travel linkages in the new Europe. Prof. Geogr. 47(3), 280–288 (1995)
Jones, I.S., Nichols, A.J.: Demand for inter-city rail travel in the United Kingdom: some evidence. J. Transp. Econ. Policy 17, 133–154 (1983)
Khattak, A.J., Rodriguez, D.: Travel behavior in neo-traditional neighborhood developments: a case study in USA. Transp. Res. Part A 39(6), 481–500 (2005)
Kim, S., Ulfarsson, G.F., Hennessy, J.T.: Analysis of light rail rider travel behavior: impacts of individual, built environment, and crime characteristics on transit access. Transp. Res. Part A 41, 511–522 (2007)
Kline, R.B.: Principles and Practice of Structural Equation Modeling. The Guilford Press, New York (1998)
Korea Smart Card: http://www.koreasmartcard.com/ (2010)
Kraft, G.: Demand for Intercity Passenger Travel in the Washington-Boston Corridor. North-East Corridor. Project Report. Systems Analysis and Research Corporation, Boston (1968)
Kuby, M., Barranda, A., Upchurch, C.: Factors influencing light-rail station boardings in the United States. Transp. Res. Part A 38(3), 223–247 (2004)
Lave, L.B.: The demand for intercity passenger transportation. J. Reg. Sci. 12, 71–84 (1972)
Master plan of Seoul Metro (2007) Seoul Metropolitan Government
Murray, A.T., Davis, R., Stimson, R.J., Ferreira, L.: Public transportation access. Transp. Res. Part D 3(5), 319–328 (1998)
O’Sullivan, S., Morral, J.: Walking distances to and from light-rail transit stations. Transp. Res. Rec. J. Transp. Res. Board, No. 1538, 19–26 (1996)
Ortúza, J.D., Willumsen, L.G.: Modeling Transport, 3rd edn. Wiley, New York (2001)
Parsons Brinckerhoff Quade & Douglas, Inc: Transit and Urban Form. National Academy Press, Washington, DC (1996)
Peng, Z., Dueker, K.J., Strathman, J., Hopper, J.: A simultaneous route-level transit patronage model: demand, supply, and inter-route relationship. Transportation 24, 159–181 (1997)
ROADI: http://www.roadi.com/ (2010)
Schlossberg, M., Brown, N.: Comparing transit-oriented development sites by walkability indicators. Transp. Res. Rec. J. Transp. Res. Board, No. 1887, 34–42 (2004)
Sohn, K., Kim, D.: Zonal centrality measures and the neighborhood effect. Transp. Res. Part A 44(9), 733–743 (2010)
Sohn, K., Shim, H.: Factors generating boardings at metro stations in the Seoul metropolitan area. Cities 27, 358–368 (2010)
Sohn, K., Yun, J.: Separation of car-dependent commuters from normal-choice riders in mode-choice analysis. Transportation 36, 423–436 (2009)
Spillar, R.J., Rutherford, G.S.: The effects of population density and income on per capita transit ridership in Western American cities. In: Institute of Transportation Engineers’ Compendium of Technical Papers: 60th Annual Meeting, 5–8 August, pp. 327–331 (1998)
Taylor, B.D., Fink, C.N.Y.: The factors influencing transit ridership: a review and analysis of the ridership literature. Working paper of UCLA Institute of Transportation Studies (2007)
Thompson, G.L.: Achieving suburban transit potential. Transportation Research Record 1571, pp. 151–162 (1997)
Household Transportation Survey in Seoul Metropolitan Area (2008) Seoul Metropolitan Government
Wardman, M.: Inter-urban rail demand, elasticities and competition in Great Britain: evidence from direct demand models. Transp. Res. Part E 33(1), 15–28 (1997)
Yao, X.: Where are public transit needed—examining potential demand for public transit for commuting trips. Comput. Environ. Urban Syst. 31, 535–550 (2007)
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Choi, J., Lee, Y.J., Kim, T. et al. An analysis of Metro ridership at the station-to-station level in Seoul. Transportation 39, 705–722 (2012). https://doi.org/10.1007/s11116-011-9368-3
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DOI: https://doi.org/10.1007/s11116-011-9368-3