IMPACT OF URBAN STREET DESIGN ON DRIVER PERCEPTION AND BEHAVIOR: A RESEARCH FOR SAFE MOBILITY IN THE CONTEXT OF GESTALT PRINCIPLES

Date

2023-3-20

Author

Murat, Zeynep

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Urban mobility is constantly on the increase, and meeting mobility demands in a safe and sustainable way is a major challenge that faces today’s cities. Most mobility needs are met at urban streets and making streets safe is an important issue since streets serve as a hub for interactions between different users. Safe street space is a concept influenced by a variety of elements and tackled by a variety of disciplines and professions. One of them is urban design, which encompasses the ideas of improving the quality of life in the city, establishing a sustainable urban environment, giving the city character and authenticity, allowing simple access and circulation in an equitable and safe manner, and enhancing the sense of social belonging in the city. Although urban design mainly concentrated on urban aesthetics in the first half of the 20th century, now it is recognized as a concept that puts forth the principles of raising the quality of life in the city, which also comprises safe street space as a factor influencing the quality of life. This study focuses on the concept of a structurally safe street space. The important question is how to reduce the possible safety problems that may occur among users by revising the layout of the street environment, in a way that increases the awareness of drivers as one of the users of street space that affects the safety of other users. In this regard, two aspects play an important role: safe mobility and self-explanatory features. Safe mobility refers to be eliminated of potentially dangerous encounters. The self-explanatory feature refers to meeting the expectations of street users. In this context, the aim of this thesis is to provide a better understanding of the factors related to urban street design that ensures safe mobility and affect driver perception and behavior in the context of Gestalt perception principles.

Subject Keywords

Gestalt, Urban street, Driver perception, Network analysis, Urban street

URI

https://hdl.handle.net/11511/102799

Collections

Graduate School of Natural and Applied Sciences, Thesis