Living in a healthy urban environment is a growing and shared need that developed a greater sensitivity about the issue of pedestrian mobility. The walking freedom can define the quality of the urban area but this freedom is conditioned by various factors. The research objective is to study pedestrian behavior on sidewalks. The study area is the city of Cagliari (Sardinia-Italy) where nine sidewalks, characterized by the presence of activities and services for citizen, are analyzed. Data are collected during on site surveys by means of concealed camcorders. For each pedestrian many factors are observed, such as gender, age, direction, distractions, transport of objects, etc.., which could influence pedestrian behaviour. Data processing allow the identification of mathematical models describing the average pedestrians behavior, subdivided for user type (isolated, single, group),In general, the mean walking pedestrian speed decreases depending on user type (in linear manner if age class grows up for isolated pedestrians while with the square of age for others users types), of gender and of facing type. Results support the idea that, to define a smooth pedestrian speed as indicator of the "walkability" of a path, in addition to considering path and users characteristics is also necessary to define the type of user for which the infrastructure is designed.
Pedestrian behaviour on sidewalks in various condiction
Pinna Francesco
;Murrau Roberto
2016-01-01
Abstract
Living in a healthy urban environment is a growing and shared need that developed a greater sensitivity about the issue of pedestrian mobility. The walking freedom can define the quality of the urban area but this freedom is conditioned by various factors. The research objective is to study pedestrian behavior on sidewalks. The study area is the city of Cagliari (Sardinia-Italy) where nine sidewalks, characterized by the presence of activities and services for citizen, are analyzed. Data are collected during on site surveys by means of concealed camcorders. For each pedestrian many factors are observed, such as gender, age, direction, distractions, transport of objects, etc.., which could influence pedestrian behaviour. Data processing allow the identification of mathematical models describing the average pedestrians behavior, subdivided for user type (isolated, single, group),In general, the mean walking pedestrian speed decreases depending on user type (in linear manner if age class grows up for isolated pedestrians while with the square of age for others users types), of gender and of facing type. Results support the idea that, to define a smooth pedestrian speed as indicator of the "walkability" of a path, in addition to considering path and users characteristics is also necessary to define the type of user for which the infrastructure is designed.File | Dimensione | Formato | |
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