Development of a complete method for re-conceptualizing street classification in an urban municipality

Street classification is crucial in urban and transportation planning. Conventional approaches prioritize car movement, while recent ones emphasize sustainable modes like walking, cycling, and public transport. However, the literature on sustainable street classification remains limited. Hence, this study aims to develop a method for reformulating and evaluating street classification in an urban municipality under sustainability principles.

Four scenarios with varying urban centers and street network classifications are developed: a “do-nothing” scenario and three backcasting scenarios prioritizing sustainable mobility. The method considers factors such as street width, land uses, current classification, public transport and cycling routes, street continuity, and the quality of the urban environment. A two-dimensional matrix (street significance vs. mode priority) is employed to develop new street categories in the backcasting scenarios, with geospatial and network analysis playing a crucial role. These scenarios are then evaluated using multicriteria analysis (REGIME method), incorporating various urban and transportation criteria.

Applied to Kallithea in Athens, Greece, the results show that scenarios proposing new urban centers and readable street classification with traffic calming zones are more efficient. Additionally, they cultivate better conditions for sustainable transportation. This novel method provides valuable insights for policymakers and planners, while contributing to the scientific debate on sustainable mobility planning.