Please login to be able to save your searches and receive alerts for new content matching your search criteria.
A commercial space undoubtedly needs to have the capacity to attract a crowd of pedestrians into the shopping area, which is the key to success for business. Space syntax theory can be deployed to simulate the used patterns before the completion of construction. One can use the analytical software of visual field (Visibility Graph Analysis, i.e., VGA) of space syntax theory to carry out a diagnosis on why a shopping mall fails. Space reformations are used to solve the existing problem of sparse pedestrian flow into the study area. This study applied the numerical computation of visual integration to explain the visibility of shopping stores, and the numerical simulation of pedestrian flow (Agent Counts) to simulate the spatial distribution of the crowd to see whether the mall can achieve the infusion effect of pedestrian flow or not. We attempts to find ways to lead the pedestrian flow into the shopping space through the fewest spatial interventions. The following findings are obtained:
In the course of rapid economic development and urbanization, the hometown of overseas Chinese suffers from huge gaps between the development of times and contradiction of space requirements in southern Fujian, China. Furthermore, the integrity and characteristics of settlement landscapes have also been greatly challenged. This thesis applies the theory and analytical method of space syntax to conduct axis analysis and Agent computing on the status of overseas Chinese settlements and the external space after integration and promotion, verifies the research hypothesis that the removal of abandoned buildings in hollowed villages is an effective integration method of the premise of protecting regional culture characteristics, further puts forward the sustainable development strategy, and provides the case references and theoretical references for other settlements.
In recent years, the public bike-sharing systems (PBS) have been promoted in many cities because of its characteristics in safety, cost saving, health benefits and the connection with urban rail transit. Some of the key points in the planning of such system are the location and capacity of the stations. In practice, the unreasonable location of public bike stations compromises system success. In addressing it, most studies just focused on the user demand or geographic distance between stations or travel costs. However, the bike demand actually is influenced by multiple factors including building environment of street and spatial structure, especially the spatial accessibility to stations. This paper presents a new method of locating and planning public bike system based on the space syntax by considering both covered demand and spatial accessibility. The goal is to enhance the quality and efficiency of the bike sharing service by selecting the optimal station locations. The work first develops a prediction model for predicting the potential bike demand based on space syntax. Then, an optimization model considering station spatial configuration is presented to choose a set of stations from a large number of candidates such that the covered demand and the accessibility to all the stations are maximized. Finally, a case study in the campus of Nanjing Normal University is presented to verify the availability.