Mishra, S., Wang, Y., Zhu, X., Moeckel, R., and Mahapatra, S. (2013b). “Comparison between Gravity and Destination Choice Models for Trip Distribution in Maryland.” Presented at 92nd Annual Meeting of the Transportation Research Board, Washington, D.C.
Mishra, S., Welch, T., Moeckel, R., Mahapatra, S., and Tadayon, M. (2013a). “Development of Maryland statewide transportation model and its application in scenario planning.” Presented at 92nd Annual Meeting of the Transportation Research Board, Washington, D.C.
Mishra, S., Ye, X., Ducca, F., and Knaap, G. (2011). “A functional integrated land use-transportation model for analyzing transportation impacts in the Maryland-Washington, DCRegion.” Sustainability: Science, Practice and Policy, Vol. 7, No. 2, pp. 60–69.
Ratner, K. and Goetz, A. (2013). “The reshaping of land use and urban form in Denver through transit-oriented development.” Cities, Vol. 30, pp. 31–46, DOI: 10.1016/j.cities.2012.08.007.CrossRef
Sung, H. and Oh, J. (2011). “Transit-oriented development in a highdensity city: Identifying its association with transit ridership in Seoul, Korea.” Cities, Vol. 28, No. 1, pp. 70–82, DOI: 10.1016/j.cities.2010.09.004.CrossRef
Taylor, B. (2002). Rethinking traffic congestion, Access, No. 21, pp. 8–16.
The National Capital Region Transportation Planning Board (2015). The financially constrained long-range transportation plan for the national capital region, <http://​www.​mwcog.​org/​store/​item.​asp?​ PUBLICATION_ID=412>.
Yang, J. K., Lee, C. G., Jeon, J. H., and Lee, H. K. (2013). “Selection and Management Factor Analysis of Urban Infrastructure for U-City Construction.” KSCE Journal of Civil Engineering, Vol. 17, No. 7, pp. 1637–1643, DOI: 10.1007/s12205-013-0096-4.CrossRef

作者单位：Yanli Wang (1)
Timothy F. Welch (2)
Bing Wu (1)
Xin Ye (1)
Frederick W. Ducca (3)

1. Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai, 201804, China
2. Center for Quality Growth and Regional Development, Georgia Institute of Technology, Atlanta, GA, 30332, USA
3. Transportation Policy Research Group, National Center for Smart Growth Research and Education University of Maryland, College Park, MD, 20741, USA

刊物类别：Engineering

刊物主题：Civil Engineering
Industrial Pollution Prevention
Automotive and Aerospace Engineering and Traffic
Geotechnical Engineering

出版者：Korean Society of Civil Engineers

ISSN：1976-3808

文摘

This paper aims to evaluate and compare impacts of two alternative Transit-Oriented Development (TOD) policies, concentrating growth of population or employment opportunities in transit service area, on travel demand measures of mode share, trip distance and highway usage. A validated Maryland Statewide Transportation Model (MSTM) is employed to forecast changes in travel demand measures under various TOD policy scenarios in a future year of 2030. The model simulation results show either concentrating population or employment policy has similar impacts on raising transit mode share and reducing auto mode share. However, concentrating population policy decreases average trip distance while concentrating employment policy increases it. Consequently, concentrating population policy reduces highway usage, measured by Vehicle Miles Traveled (VMT), more effectively than concentrating employment policy in this specific region given the existing land use pattern. The findings in this paper have important implications to urban planners, transportation planners and decision makers in Maryland of US. The paper also provides a good example for applying a travel demand model to evaluate and compare alternative TOD policies based on travel demand measures.