Active accessibility: A review of operational measures of walking and cycling accessibility

Crimes are a common societal concern impacting quality of life and economic growth. Despite the global decrease in crime statistics, specific types of crime and feelings of insecurity, have often increased, leading safety and security agencies with the need to apply novel approaches and advanced systems to better predict and prevent occurrences. The use of geospatial technologies, combined with data mining and machine learning techniques allows for significant advances in the criminology of place. In this study, official police data from Porto, in Portugal, between 2016 and 2018, was georeferenced and treated using spatial analysis methods, which allowed the identification of spatial patterns and relevant hotspots. Then, machine learning processes were applied for space-time pattern mining. Using lasso regression analysis, significance for crime variables were found, with random forest and decision tree supporting the important variable selection. Lastly, tweets related to insecurity were collected and topic modeling and sentiment analysis was performed. Together, these methods assist interpretation of patterns, prediction and ultimately, performance of both police and planning professionals.

Urban green/blue spaces are put under pressure as urban areas grow, develop and evolve. It is increasingly recognized, however, that green/blue spaces provide important ecosystem services, stimulate higher real estate prices and prevent flooding problems. This paper aims to assess and compare the socio-economic impacts of potential green/blue space, urban residential and road infrastructure development scenarios in the Lyon Confluence project area (France), using the Sustainable Urbanizing Landscape Development (SULD) hedonic pricing simulation model. Results show four major tendencies regarding the value-added of green/blue spaces in urban landscapes: (1) cities become more compact; (2) population densities increase; (3) real estate values rise; and (4) demographic distribution patterns change. The magnitude of these impacts depends, however, on the quality and size of the intervention, the social classes attracted to the intervention area and on the location of the intervention relative to existing residential areas, urban centres, road infrastructure and environmental amenities.

Urban landscapes are under great pressure and particularly vulnerable, due to climate change, population growth and economic development. Despite the growing understanding that Nature-Based Solutions (NBS) represent efficient solutions to facilitate adaptation to climate change and increase cities’ resilience, their wide-scale adoption is still limited. There is a need to include NBS in urban governance and planning agendas through policy instruments, such as plan/legislative, economic and information instruments. However, there is a lack of studies that assess such policy instruments and, through the use of specific examples, how they can foster NBS adoption. The objective of this study is to address this gap by conducting a systematic literature review, using a bibliometric and a content analysis, collating and reviewing papers that consider policy instruments and NBS in order to: (i) assess the existence of policy instruments that influence the adoption of NBS; and (ii) evaluate the existence of specific examples of policy instruments. Results show that plan/legislative instruments are most mentioned, followed by economic and information instruments. However, examples of specific policy instruments being used in practice are still scarce in literature, as most studies remain theoretical.

Today, major planning agendas in Europe steer the future of territorial organization towards an urban polycentric perspective. The accessibility to services of general interest (SGI), a significant source of spatial inequality in Europe, is one of the key challenges to address. However, instruments needed to support the implementation and monitoring of territorial policy measures regarding the distribution of, and accessibility to SGI are still under-developed. Studies generally relate to the (intra)regional and not the national scale. When they do so, they lose local specificity as they often consider the existence/availability of services at a given scale and not the actual capacity to reach their (often just estimated) location through the transport network. In the context of the revision of Portugal’s National Plan for Territorial Planning Policies, this paper presents a comprehensive multi-criteria location-based approach for measuring the factual accessibility to a representative range of SGI at the national Portuguese scale. Results are evaluated considering the dichotomy between centrality and periphery, high and low density, and the regional disparities found. High accessibility values do not necessarily mean greater territorial cohesion. Contributions to the development of national planning policies that respond to cohesion challenges are also debated.