Sequential Analysis on the Intensity of Store Information to the Commercial Street - from the Viewpoint of Pedestrian Movement -

Abstract

Stores along commercial streets display their information to the outside using their facades facing the street to attract pedestrians, who are potential customers. Pedestrians, who are visitors to the commercial area, are exploring stores to meet the purpose of their visit. During this process, pedestrians experience the city space. This paper proposes a methodology for the sequential analysis of a commercial street from the viewpoint of pedestrian movement based on business type, which might be the most important factor for the formation of the atmosphere of a certain street, and location relationships between the pedestrians and stores on a street. To construct a quantitative model, the distribution of stores was first divided into a certain unit considering the recognition distance of pedestrians. In a divided unit, the business type of each store was replaced with a different point source individually and stacked vertically according to the location inside the building. By calculating the sequential change in intensity of the point sources, a final analytical model was obtained as the standing point of pedestrian movement. For the case study, the developed model was applied to Jungangro and Myeongdong-gil in Myeongdong and verified that the difference in store influence on pedestrians depended on the width of the street or number of floors where the store was located.

Stay Activities on Carfree Neighborhood Shopping Streets

“…entertainment and presence of vendors), and the individual feelings or mental images that people have regarding the place (see Ja 'afar, Sulaiman & Shamsuddin, 2018;Ujang, 2017;Chen, Nakamura & Kuma, 2014). Other studies have also demonstrated the influence of business types in determining the atmosphere of a street (see Lee and Yoon, 2015).…”

Analysis of spatial form and structure of commercial pedestrian blocks based on Isovist and big data

“…More than 50% of human brain cells are used to process visual information, and vision occupies the most important experience ratio among all social perception modes (Fominykh et al, 2015). Research on commercial pedestrian blocks has mainly focused on the traditional participants’ perception of the spatial environment, exploring the relationship between the commercial environment and crowd behavior (Du et al, 2020; Lee and Yoon, 2015; Sharifi Noorian et al, 2020). Previous studies have largely overlooked analyzing these blocks from the visual domain, spatial form, and structural perspectives.…”