Network structure and metropolitan mobility
Keywords:Network Structure, System Performance, Behavior
AbstractThis research aims to develop quantitative measures that capture various aspects of the underlying network structure, using aggregate level travel data from fifty metropolitan areas across the US. The influence of these measures on system performance is then tested using statistical regression models. The results corroborate that the quantitative measures of network structure affect the system performance. The results from this analysis can be used to develop network design guidelines that can be used to address current transportation problems.
Anas, A., Arnott, R., and Small, K. (1998). Urban spatial structure. Journal of Economic Literature, 36(3):1426–1464.
Barabasi, A. and Bonabeau, E. (2003). Scale-free networks. Scientific American, 288(5):50–59.
Bento, A., Cropper, M., Mobarak, A., and Vinha, K. (2003). The impact of urban spatial structure on travel demand in the United States, Volume 1. The World Bank, Washington D.C. Policy Research Working Paper Series: WPS 3007.
Borchert, J. (1961). The Twin Cities Urbanized Area: Past, Present, Future. Geo- graphical Review, 51(1):47–70.
Crane, R. (2000). The Influence of Urban Form on Travel:
An Interpretive Review. Journal of Planning Literature, 15(1):3–23.
Derrible, S. and Kennedy, C. (2009). A network analysis of subway systems in the world using updated graph theory. Transportation Research Record, 2112:17–25.
Derrible, S. and Kennedy, C. (2010). Characterizing metro networks: state, form, and structure. Transportation, 37(2):275–297.
El-Geneidy, A. M. and Levinson, D. M. (2006). Access to Destinations: Development of Accessibility Measures. Minnesota Department of Transportation, Research Services Section; Available through the National Technical Information Service, Springfield, VA, St. Paul, MN. Report 1 in the series: Access to Destinations Study.
Erath, A., L ̈ochl, M., and Axhausen, K. (2009). Graph-theoretical analysis of the Swiss road and railway networks over time. Networks and Spatial Economics, 9(3):379–400.
Ewing, R. and Cervero, R. (2010). Travel and the built environment: A meta-analysis. Journal of the American Planning Association, 76(3):265–294.
Federal Highway Administration (2000a). FHWA Functional Classification Guidelines. http://www.fhwa.dot.gov/planning/fcsec2 1.htm. Accessed August 2011.
Federal Highway Administration (2000b). Highway Statistics Report. http://www.fhwa.dot.gov/policyinformation/hpms.cfm.
Federal Highway Administration (2001). National
Household Travel Survey. http://nhts.ornl.gov.
Garrison, W. L. and Marble, D. F. (1961). The structure of transportation networks. Transportation Center at Northwestern University, Evanston, Ill. Draft of a report submitted October 31, 1961 to U.S. Army Transportation Research Command, Fort Eustis, Virginia, by the Transportation Center at Northwestern University under contract DA-44-177-TC-685, Transportation geography study.
Giuliano, G. and Narayan, D. (2003). Another look at travel patterns and urban form: The US and Great Britain. Urban Studies, 40(11):2295.
Gomez-Ibanez, J. (1991). A global view of automobile dependence. Journal of the American Planning Association, 57(3):376–379.
Gordon, P. and Richardson, H. (1989). Gasoline consumption and cities: A reply. Journal of the American Planning Association, 55(3):342–346.
Gu, X., Li, D., and Qin, L. (2012). Spatial structural characteristics of chinese railway passenger network based on complex network theory. EITA, 20(1):1.
Haggett, P. and Chorley, R. (1969). Network analysis in geography. Edward Arnold, London, U.K.
Hansen, W. (1959). How Accessibility Shapes Land Use. Journal of the American Planning Association, 25(2):73–76.
Horton, F. and Reynolds, D. (1971). Effects of urban spatial structure on individual behavior. Economic Geography, 47(1):36–48.
Jenelius, E. (2009). Network structure and travel patterns: Explaining the geographical disparities of road network vulnerability. Journal of Transport Geography, 17(3):234– 244.
Jiang, B. and Claramunt, C. (2004). Topological analysis of urban street networks. Environment and Planning B, 31(1):151–162.
Kansky, K. (1963). Structure of Transportation Networks: Relationships Between Net- work Geometry and Regional Characteristics. PhD thesis, University of Chicago. Research Paper No. 84.
Kim, K., Benguigui, L., and Marinov, M. (2003). The fractal structure of Seoul’s public transportation system. Cities, 20(1):31–39.
Kissling, C. (1969). Linkage Importance in a Regional Highway Network. The Canadian Geographer, 13(2):113–127.
Krizek, K. (2003). Operationalizing Neighborhood
Accessibility for Land Use-Travel Behavior Research and Regional Modeling. Journal of Planning Education and Re- search, 22(3):270–287.
Levine, J., Grengs, J., and Shen, Q. (2009). Metropolitan accessibility and transpor sustainability: Comparitive indicators for policy reform. In Fifth Urban Research Symposium 2009: Cities and Climate Change: Responding to an Urgent Agenda, Marseille, France.
Levinson, D. (2012). Network structure and city size. PloS ONE, 7(1):e29721. Levinson, D. and El-Geneidy, A. (2009). The minimum circuity frontier and the journey
to work. Regional Science and Urban Economics, 39(6):732–738.
Lu, Y. and Tang, J. (2004). Fractal dimension of a transportation network and its relationship with urban growth: a study of the Dallas-Fort Worth area. Environment and Planning B, 31:895–912.
Marshall, S. (2005). Streets & Patterns. Spon Press, New York.
Newman, P. and Kenworthy, J. (1989). Gasoline consumption and cities: A comparison of U.S cities with a global survey. Journal of the American Planning Association, 55(1):24–37.
Parthasarathi, P., Levinson, D., and Hochmair, H. (2013). Network structure and travel time perception. PloS one (forthcoming).
Patuelli, R., Reggiani, A., Nijkamp, P., and Bade, F. (2010). The evolution of the commuting network in Germany: Spatial and connectivity patterns. Journal of Transport and Land Use, 2(3/4):5–37.
Schrank, D. and Lomax, T. (2009). 2009 Urban Mobility Report. Texas Transportation Institute, The Texas A&M University System.
Schwanen, T., Dieleman, F., and Dijst, M. (2001). Travel behaviour in Dutch monocen- tric and policentric urban systems. Journal of Transport Geography, 9(3):173–186.
Stead, D. (2001). Relationships between land use, socioeconomic factors, and travel patterns in Britain. Environment and Planning B, 28(4):499–528.
U.S. Census Bureau (2008). Topologically Integrated Geographic Encoding and Refer- encing system (TIGER) Overview. Accessed 2009 July 4.
van de Coevering, P. and Schwanen, T. (2006). Re-evaluating the impact of urban form on travel patternsin Europe and North-America. Transport policy, 13(3):229–239.
Veneri, P. (2010). Urban polycentricity and the costs of commuting: evidence from italian metropolitan areas. Growth and Change, 41(3):403–429.
Xie, F. and Levinson, D. (2007). Measuring the structure of road networks. Geographical Analysis, 39(3):336–356.
Yan, X. and Wang, M. (2009). Topological Properties of Public Transport Networks: A Temporal Perspective. In ICCTP 2009 critical issues in transportation system
planning, development, and management : proceedings of the Ninth International Conference of Chinese Transportation Professionals : August 5-9, Harbin, China,
Reston, VA. American Society of Civil Engineers.
Yang, B., Luan, X., and Li, Q. (2009). An adaptive method for identifying the spatial patterns in road networks. Computers, Environment and Urban Systems, 34:40–48.
Zhang, Y., Bigham, J., Li, Z., Ragland, D., and Chen, X. (2012). Associations between road network connectivity and pedestrian-bicyclist accidents. In 91st Annual Meeting of the Transportation Research Board, Washington DC, Washington, D.C.
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