A computational approach to ‘The Image of the City’ - ScienceDirect

• An approach to computationally extract Lynch's Image of the city is advanced. • For Boston, our computational Image matches well with Lynch's Image. • The most satisfactory outcomes were obtained for districts and paths. • Out of the five elements, landmarks were found most challenging to extract. An approach to computationally extract Lynch's Image of the city is advanced. For Boston, our computational Image matches well with Lynch's Image. The most satisfactory outcomes were obtained for districts and paths. Out of the five elements, landmarks were found most challenging to extract. In The Image of the City Lynch describes how individuals perceive and recall features in urban spaces. The most distinctive elements in the urban landscape - categorised in paths, nodes, edges, districts and landmarks - give shape to individuals' mental representation of the city. Lynch’s approach has stimulated research into spatial cognition, urban design and artificial intelligence, and it sti

• An approach to computationally extract Lynch's Image of the city is advanced. • For Boston, our computational Image matches well with Lynch's Image. • The most satisfactory outcomes were obtained for districts and paths. • Out of the five elements, landmarks were found most challenging to extract. An approach to computationally extract Lynch's Image of the city is advanced. For Boston, our computational Image matches well with Lynch's Image. The most satisfactory outcomes were obtained for districts and paths. Out of the five elements, landmarks were found most challenging to extract. In The