• International Journal of Highway Engineering
• /
• v.14 no.3
• /
• pp.97-110
• /
• 2012

In case of the axial line bikeway, the residents in the riverside use it frequently but those in the city center hardly do as the axis is formed along the riverside of the Han river. This situation happens due to the inefficient connectivity between the bikeway that leads to the riverside and that in the city center, which means the administrative policies have been focused on the facilities rather than on raising connectivity of the bikeway networks in the south of the Han River. Also, this is the point of time when a reasonable improvement plan is needed to raise the accessibilities of the bikeways in Seoul, not just a utilization of those in the south of the Han River. This study intends to analyse the connectivity between Gangseo (west of the Han River) and Gangdong (East of the Han River) districts by comparing the current spatial structure in the southern areas of the Han River and that after the installation of the axial line, and that after installation of the ordinary bikeway respectively with use of the Space Syntax Model, and to predict resultant changes there of. The Space Syntax Model was used as the major method of analysis in this study to find out characteristics of the bikeways in the south of the Han River. Consequently, as the analysis shows that when the bikeways in the Gangseo and Gangdong-gu districts are connected, the accessibility of the bikeways in the south of the Han River will improve while the spatial structure intelligibility will be lowered, it can be said the prediction rate in the all areas is low compared with the current status. It is analyzed that the intelligibility of the current bikeways in the south of the Han River appeared highest when compared with those of plans for installation of the axial line and ordinary bikeway because they don't interconnect with other areas.

• International Journal of Highway Engineering
• /
• v.13 no.4
• /
• pp.211-220
• /
• 2011

TOD(Transit Oriented Development) has recently been active, which presents that TOD planning elements should be comprehensively taken into consideration in order to enhance domestic transit ridership by changing environments in rail station areas and an empirical analysis on the type of rail station areas and transportation demand should be a prerequisite for usage of future development planning. This study aims to grasp a variety of TOD of influence factors in Seoul rail station area and to perform analysis to identify relationship between public transportation demand and these TOD design factors. To make it come true, we gathered data with respect to Density, Diversity, and Accessibility as representative TOD planning elements and carried out factorial and regression analysis. Consequently, we drew 7 influence factors base on factorial analysis: Factor 1(Diversity/ -Use Mix(LUM)), Factor 2(Density/development density), Factor 3(Accessibility/public transportation facility supply), Factor 4(Design/street design), Factor 5(Green/access mode (pedestrian, bike), Factor 6(Design/subway size), Factor 7(Accessibility/Public transit operation) As the result of model development by using factorial and regression analysis, positive influence factors on passenger flow in rail station area are Factor 1(Diversity : Land-Use Mix), Factor 3(Accessibility : public transportation facility supply), Factor 2(Density : development density), Factor 5(Design/ access mode) and Factor 6(subway size) Next, negative influence factor on passenger flow in rail station area shows Factor 7(Accessibility/Public transit operation) as the most influential factor. This is because the growth of service interval of linked subway and bus leads to reduced demand.