A System Dynamics Approach for Evaluating Policies on Prioritizing Public Transportation

Kun Da Li; Si En Zhou; Xin Miao Yang

doi:10.4028/www.scientific.net/AMM.391.628

Paper Titles

Enhancement of Ev On-Board Diagnostics System into Preliminary Operation Using Estimation Theory
p.592

Analysis about Random Failure Indicator for Relay Protection
p.596

Design of the Upper Computer System in the Overhead Crane Wireless Data Management System
p.603

Voltage Sag Source Localization Based on the Voltage Distance Function in Distribution Network
p.607

Survivability Assessment Modeling for Command Information System
p.611

Optimal Configuration of Fault Indicator in Distribution Network
p.615

Substation Locating and Sizing in Distribution Network Based on Geographic Information
p.619

The Research on Automatic Generation of Process Diagram in CAPP System for Shaft Parts
p.624

A System Dynamics Approach for Evaluating Policies on Prioritizing Public Transportation
p.628

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 391A System Dynamics Approach for Evaluating Policies...

A System Dynamics Approach for Evaluating Policies on Prioritizing Public Transportation

Abstract:

This paper provides a modeling framework based on the system dynamics approach by which policy makers can understand the dynamic and complex nature of the policies on prioritizing public transportation within a transportation socioeconomic system. Since the government has implemented the policies on prioritizing public transportation, a framework that helps policy makers to understand the impacts of such policies is currently quite relevant. Within this framework, 6 basic subsystems: population, economic development, environmental influence, public transport development, private cars development and priority polices, focuses on the short-and long-term system behaviors.

You might also be interested in these eBooks

Technologies of Mechanical Engineering Industry

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 391)

Pages:

628-632

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.391.628

Citation:

Cite this paper

Online since:

September 2013

Authors:

Kun Da Li, Si En Zhou, Xin Miao Yang

Keywords:

Policy Evaluation, Public Transport Priority, System Dynamics (SD), Urban Transportation

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Jifeng Wang, Huapu Lu, 2008, System Dynamics Model of Urban Transportation System and Its Application, Journal of Transportation Systems Engineering and Information Technology, 8(003): 83-89.

DOI: 10.1016/s1570-6672(08)60027-6

Google Scholar

[2] Forrester, J., 1969, Urban Dynamics, MIT Press, Cambridge, MA.

Google Scholar

[3] Drew, D.R., 1975. Bicol river basin development program simulation model. USAID Philippines Project No. 492-51-190-126, Manila, Philippines.

Google Scholar

[4] Drew, D.R., 1978. The growth shapers: infrastructure induced development. In: Sharif, N., Adulbhan, P. (Eds. ), System Models for Decision Making. Asian Institute of Technology, Bangkok, Thailand, p.119–190 (Chapter Five).

Google Scholar

[5] Tanaboriboon, Y., 1979. A Transportation Planning Strategy for the Bangkok Metropolitan Area. Ph.D. Thesis. Virginia Polytechnic Institute and State University, VA, USA.

Google Scholar

[6] Adler, T.J., Stearns, S.R., Stephanedes, Y.J., 1980. Techniques for analyzing the performance of rural transit systems, vol. I, Final Report, US DOT/RSPA/DPB-50/80/23. Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire, USA.

Google Scholar

[7] Sterman, J., 2001. System dynamics modeling: tools for learning in a complex world. California Management Review 43 (4), 8–25.

DOI: 10.2307/41166098

Google Scholar

[8] Schrank, David L., Shawn M. Turner, and Timothy J. Lomax. ESTIMATES OF URBAN ROADWAY CONGESTION-1990. INTERIM REPORT. No. FHWA-TX-90-1131-5. (1993).

Google Scholar

[9] Dargay, Joyce, and Dermot Gately. Income's effect on car and vehicle ownership, worldwide: 1960–2015., Transportation Research Part A: Policy and Practice 33. 2 (1999): 101-138.

DOI: 10.1016/s0965-8564(98)00026-3

Google Scholar