Abstract | ||
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The local governments of major cities in Korea are giving focus on public transportation to reduce congestion and improve accessibility in city areas. In this regards, the proper measurement of accessibility is now a key policy requirement for reorganizing the public transport network. However, Public transport routing problems are considered to be highly complicated since a multi-mode travel generates different combinations of accessibility. While most of the previous research efforts on measuring transport accessibility are found at zone-levels, an alternative approach at a finer scale such as bus links and stops is presented in this study. We propose a method to compute the optimal route choice of origin-destination pairs and measure the accessibility of the chosen mode combination based on topological configuration. The genetic algorithm is used for the computation of the journey paths, whereas the space syntax theory is used for the accessibility. The resulting accessibilities of bus stops are calibrated by O-D survey data and the proposed process is tested on a CBD of Seoul using the city GIS network data. |
Year | DOI | Venue |
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2006 | 10.1007/978-3-540-77368-9_28 | ICHIT |
Keywords | Field | DocType |
public transport accessibility,transport accessibility,space syntax,public transportation,city gis network data,o-d survey data,public transport network,city area,bus link,alternative measure,major city,public transport,bus stop,genetic algorithm,survey data | Survey data collection,Telecommunications,Computer science,Transport engineering,Public transport,Central business district,Network data,Space syntax,Genetic algorithm,Key policy,Distributed computing,Computation | Conference |
Volume | ISSN | ISBN |
4413 | 0302-9743 | 3-540-77367-3 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chulmin Jun | 1 | 6 | 3.27 |
jay kwon | 2 | 9 | 3.07 |
Yunsoo Choi | 3 | 23 | 7.64 |
Impyeong Lee | 4 | 13 | 3.52 |