JOURNAL BROWSE
Search
Advanced SearchSearch Tips
A Variational Inequality-based Walkability Assessment Model for Measuring Improvement Effect of Transit Oriented Development (TOD)
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
A Variational Inequality-based Walkability Assessment Model for Measuring Improvement Effect of Transit Oriented Development (TOD)
Sohn, Jhieon;
  PDF(new window)
 Abstract
The core strategy of transit oriented development (TOD) is to promote high density mixed land use around railway stations. Case studies in advanced countries show that provision of policies for comprehensive maintenance of pedestrian facilities around railway station spheres is being pursued with efficacy. In spite of the importance placed on integrated pedestrian maintenance, domestic construction of integrated pedestrian infrastructure around railway station spheres lacks direction. Thus, there is a clear need for an evaluation standard that can provide the foundation for judgments on TOD improvement. This research proposes a network model that consolidates the interior of the station as well as its surrounding areas to determine the ease of pedestrian flow for effective TOD evaluation. The model considers the railway station and surrounding areas as an assembled network of pedestrian flow. The path chosen by the pedestrian is defined as the optimal degree of inconvenience, and expands on Wardrop`s User Equilibrium (1952). To assess the various circumstances that arise on pedestrian facilities including congestion of the pedestrian pathway, constrained elevator capacity, and wait at the crosswalk, a variational inequality based pedestrian equilibrium distribution model is introduced.
 Keywords
Transit oriented development;Integrated pedestrian facilities;Variational inequality;Pedestrian equilibrium;
 Language
Korean
 Cited by
 References
1.
Beckmann, M. J., McGuire, C. B. and Winsten, C. B. (1956). Studies in the Economics of Transportation. Yale University Press, New Haven, Conn.

2.
Dafermos, S. (1980). "Traffic equilibrium and variational inequalities." Transportation Science 14, pp. 42-45. crossref(new window)

3.
Dafermos, S. (1982). "Relaxation algorithms for the general asymmetric traffic equilibrium problem." Transportation Science 16, pp. 231-240. crossref(new window)

4.
Dijkstra, E. W. (1959). A Note of Two Problems in Connected with Graphs. Numer. Math. I. 99. pp. 269-271.

5.
Fisk, C. S. and Nguyen, S. (1982). "Solution algorithms for network equilibrium models with asymmetric user costs." Transportation Science 16, pp. 361-381. crossref(new window)

6.
Florian, M. and Spiess, H. (1982). "The convergence of diagonalization algorithms for asymmetric network equilibrium problems." Transportation Research 16B, pp. 477-483.

7.
Kirby, R. F. and Potts, R. B. (1969). "The minimum route problem for networks with turn penalties and prohibitions." Transportation Research 18B, pp. 123-133.

8.
Koo, J. H. (2011). "A strategy for urban spatial restructure of TOD as a green urban regeneration strategy." Architecture Journal, Vol. 21, No. 10.

9.
LeBlanc, L. J., Morlok, E. K. and Pierskalla, W. (1975). "An efficient approach to solving the road network equilibrium traffic assignment problem." Transportation Research, Vol. 9, No. 5, pp. 309-318. crossref(new window)

10.
Lee, J. H. (2003). "Application of agent-based modeling on transport systems analysis." Korean Society of Transportation, Vol. 21. No. 1.

11.
Lee, J. H. (2010). Development of Multi-Class Pedestrian Assignment Algorithm, Master Thesis, Graduate School of Environmental Studies, Seoul National University.

12.
Lee, M. Y. (2004). Transportation Network Models and Algorithms Considering Directional Delay and Prohibition for Intersection Movement, Ph.D. Thesis, University of Wisconsin-Madion.

13.
Lee, M. Y. (2014). Walkability Evaluation Model for Local Walking Areas, KRIHS.

14.
Lee, M. Y., Kim, J. H. and Kim, E. J. (2015). A Pedestrian Network Assignment Model Considering Space Syntax, Korea Society of ITS Accepted for Publication (2015.12).

15.
Lim, H. J. (2005). "A Study on Transit-Oriented Development Method to Activate Transit Use for High Urban-Density Multi-Nucleated Seoul, Korean Society of Transportation Vol. 23, No. 5.

16.
Meneguzzer, C. (1995). "An equilibrium route choice model with explicit treatment of the effect of intersections." Transportation Research 29B, pp. 329-356.

17.
Nagurney, A. (1993). Network Economics: A Variational Inequality Approach. Kluwer Academic Publishers, Boston, Mass.

18.
Park, J. H., Oh, S. H. and Rhee, J. H. (2012). "A study on the analysis of walking behavior in transfer stations after the improvement of walking environment." Journal of the Korean Society of Civil Engineers, Vol. 32, No. 3, pp. 189-196.

19.
Sheffic, Y. (1985). Urban Transportation Networks: Equilibrium Analysis with Mathematical Programming Methods. Prentice-Hall, Englewood Cliffs, NJ.

20.
Shin, S. I. and Lee, K. H. (2013). Walkability Improvement Strategies for Large Scaled Transportation Complex, Seoul Institute.

21.
Smith, M. J. (1979a). "The existence, uniqueness and stability of traffic equilibrium." Transportation Research 13B, pp. 295-304.

22.
Son, Y. T., Park, W. S., Kim, S. G., Kim, T. W. and Kim, Y. H. (2004). "Developing CA (Cellular Automata)-Based simulation models for pedestrian traffic flows." Journal of the Korean Society of Civil Engineers, Vol. 24, No. 4D, pp. 563-568.

23.
Sung, H. G., Park, J. H. and Kim, D. J. (2007). Impact Analyses of Transit-Oriented Development and Revising Current Transportation and Urban Planning Laws for Its Application in Korea, Korea Transport Institute.

24.
Wardrop, J. G. (1952). Some Theoretical Aspects of Road Traffic Research. Proc. Inst. Civ. Eng., Part II, 1, pp. 325-378.