Optimal urban planning through the best–worst method: bicycle lanes in Palermo, Sicily

Since 2020, due to the Covid-19 pandemic, planners and designers have proposed numerous changes for urban spaces and mobility concepts to comply with governments' anti-contamination restrictions. Several European cities have implemented strategies for developing cycling, favouring the design of temporary (pop-up) or permanent cycle lanes and state incentives to purchase bicycles and electric micro-mobility vehicles. However, existing research suggests that design optimisation must pursue specific geometric, functional and safety standards for cyclists and space sharers (pedestrians/cars). It is thus necessary to analyse the perceptions of citizens and commuters for optimisation of the planning and design of these infrastructures. A multi-criteria evaluation was used to determine optimal infrastructure schemes (temporary and permanent) for the metropolis of Palermo in Sicily, Italy. First, three groups of cyclists (citizens, technicians and commuters) were selected. Then, applying the best-worst method, a series of design alternatives were evaluated by the target groups. The results showed a correlation between different types of users in terms of those who live in the city compared with commuters in the city for the first time. The results of this work lay the foundation for improved planning and design strategies in sustainable urban mobility plans and the Italian Biciplan guidelines.

Psychosocial Barriers of Public Transport Use and Social Exclusion among Older Adults: Empirical Evidence from Lahore, Pakistan.

Transport planning and public health have been intertwined historically. The health impact of public transport services, such as social exclusion, is a widely discussed research topic. Social exclusion is a paramount concern for older adults' health in the wake of emerging global challenges. However, there remains a significant research gap on how psychosocial barriers faced by older adults in using public transport services influence the social exclusion behavior. The present research provides empirical evidence and shows the impact of certain psychosocial barriers of public transportation on older adults' social exclusion. A total of 243 Pakistani older adults (aged 60-89 years old) voluntarily participated in this cross-sectional study. The participants provided self-reports on their psychosocial barriers (including perceived norms, attitude, personal ability, habits, neighborhood social constraints, and intention) and the corresponding social exclusion. Partial Least Square Structural Equation Modeling (PLS-SEM) was utilized for the data analysis. The structural path model supported the significant associations between psychosocial barriers and social exclusion. Except for perceived descriptive norms, all other psychosocial barriers predicted older adults' social exclusion. The research portrays the significance of the psychosocial factors to examine social exclusion and offers practical implications for urban and transport planners. The concerned policymakers can use the research findings to develop age-sensitive, socially sustainable, and healthy cities.