Abstract
Abstract. Urban structure plays a key role in providing available paths for pedestrian flow through urban areas. Land-use planning influences the accessibility behaviours of pedestrian movement controlled by urban structures, activities, and street networks with the unique attributes of each urban area. To improve urban spatial planning in terms of adopting effective land-use options and enhance a better public transportation accessibility, we consider combining the following two techniques; detection of pedestrians using computer vision, and trajectories of crowd movement using land-use agglomeration pattern analysis. Applying the proposed method to a high-density area composed of multi-directional crossings at a T-way junction in front of Hakata station, Fukuoka, Japan, it is shown that the derived correlation coefficient between the closeness value and the volume of commercial building space indicates a strong relationship between these two variables, resulting in the conclusion that the proposed method is useful for application in the design of urban spatial plans.
Highlights
The study of pedestrian movement is crucial for land-use and transportation planning which mostly concentrates on improving the connection between urban places and public transportation
Land use planning influences pedestrian movement behaviour in terms of the element of accessibility that is controlled by urban structure, activities, and street networks, all of which make different cities display the unique urban forms
This study proposed the use of tracking data of pedestrian movement to interpret the crowd movement behaviour in an urban area
Summary
The study of pedestrian movement is crucial for land-use and transportation planning which mostly concentrates on improving the connection between urban places and public transportation. Land use planning influences pedestrian movement behaviour in terms of the element of accessibility that is controlled by urban structure, activities, and street networks, all of which make different cities display the unique urban forms. This is especially the case in the high-density areas such as a central business district or a major transit station district where urban form is planned to support the use of land and potential accessibility between people and places. The computer analysis is available for the transportation planning on providing important spatial information which is precise data on spatial structure that enables urban planners to see the whole picture of the planning area as well as to understand the impact on both existing and future structures that might be assigned as a result of future policy
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