Universities are showing a growing interest in becoming green institutions and improving campus open space management. Well-designed urban landscapes guided by green criteria integrate eco-friendly infrastructure which may be effective in facing urban challenges in the context of climate change. Student preferences and uses of campus outdoor environment should draw the attention of campus landscape planners. This study aims to analyse how the university community perceives landscape services provided by the Spanish Universitat Politècnica de València’s campus open space. An online questionnaire was sent to the university community to check its opinions, level of satisfaction, and their demands related to the current situation of the outdoor areas. Campus open spaces with different urban green infrastructure have a high potential to provide cultural, provisioning, and regulation landscape services. Respondents perceive the main benefits provided by campus open spaces to be that they are a place to relax, meet friends, and pass through. Their needs related to the welfare of outdoor areas and their preferences differ according to age, occupation, and time spent at the campus. This paper intends to help the university to meet environmental guidelines and to help other universities in their endeavour to reach sustainability and ensure the university community’s well-being.

Urban sprawl is now a common and threatening phenomenon in Europe, severely affecting environmental and economic sustainability. An analytical characterization and measurement of urban sprawl are required to gain a better understanding of the phenomenon and to propose the possible solutions. Traditional factor analysis techniques, especially Principal Component Analysis and Factor Analysis, have been commonly used. In this paper, we additionally test Independent Component Analysis with the aim to obtain a multidimensional characterization of the sprawl phenomenon. We also use Bayesian Factor Analysis to obtain a single (unidimensional) measuring index of sprawl, which also allows us to obtain the uncertainty of the inferred index, in contrast to traditional approaches. All these techniques have been applied to study the phenomenon of urban sprawl at the municipality level in Valencia, Spain using a wide set of variables related to the characteristics and patterns of urban land use.

This paper describes a process for measuring and characterizing urban morphological zones. These urban zones are delineated for the entire area of Spain, independently of administrative boundaries and excluding demographic data, using a high resolution land-use dataset. Given the rich information available on land cover and subsequently assigned population data, it is possible to calculate a set of urban spatial metrics to classify these urban zones into homogenous morphological groups. Four types of urban agglomerations are identified in Spain by working with these urban metrics and applying a final cluster analysis. Although these groups have a general complex monocentric typology, each has its own specific characteristics. Finally, a picture of patterns and trends of urbanization for the main urban agglomerations in Spain is provided, offering some perspectives on the urban sprawl phenomenon.

In Europe, especially in the Valencian Community, Spain, the growth of cities in the last few decades has brought with it a major paradigm change, shifting from a compact to a sprawling urban model. Although it is known about its important environmental, social, and economic effects, there is no clear and unequivocal measurement of the impact of urban sprawl on municipal spending. The impact of the sprawling city on public finances and on the cost of local public services is clearly one of the conditioning factors that should be assessed when making urban development decisions. Based on a measurement of the sprawling city, our aim is to calculate the effect of urban sprawl on the local administration’s expenditure and particularly on the cost of basic public municipal services. These are obtained through a statistical model with cost functions that can assess the increase in spending prompted by urban sprawl for municipal current expenditure. The proposed model is novel in the field of urban planning and is based on a Bayesian hierarchical model with the ability to include modeling constraints among the expenditures variables and handle missing values accurately. With this paper, we show that urban sprawl has a significant and positive effect on the unit cost of local public services, which results in an inefficient urban growth model from the economic point of view. The effect is not transferred homogeneously to the budget. There are spending items that are more sensitive to urban sprawl like expenditure on security and public transportation and community wellbeing, which primarily covers waste collection, elimination, and treatment; sanitation, and water supply and distribution; road cleaning; and public lighting.

Landslide susceptibility maps are widely used in land management and urban planning to delimit potentially problematic areas. In this article we improve their reliability by acting on the frequency ratio method and map classification systems. For the frequency ratio method, we have worked with continuous variables and established intervals grouped by probability according to the landslide inventory and based on the characteristics of the data rather than on standard divisions. For map classification systems, we have compared the efficacy of conventional classifications and those based on the concepts of sensitivity and specificity, with the specificity classifications being supported by the information offered by available comparative data. Both strategies make it possible to avoid subjective and repetitive procedures that are alien to the nature of the data being assessed. We present a case study in the 23,000 km² Region of Valencia where a total of 48 different susceptibility maps were generated. We demonstrate that the methods applied in this study to calculate the frequency ratio provide an improvement in specificity in areas of high susceptibility while maintaining good sensitivity. In particular, the Area Under Curve (AUC) values increase from 0.67 for the conventional methods to 0.76 with the methods proposed in this work. This improvement is transferred to susceptibility mapping much more clearly when classifications that incorporate sensitivity, and especially specificity parameters, are used.

While national parks (NPs) have for a long time made substantial contributions to visitor well-being, many spaces remain out of reach of people with disabilities (PwDs). This is partly due to a lack of policies that take accessibility for broader intersectional audiences into consideration. This paper evaluates governance and legal frameworks in NPs in both Canada and Spain. A decision-making framework based on intersectionality realities is proposed to assess current conditions of environmental good governance using a set of descriptors created to scrutinize laws and technical documents that can promote equitable access to NPs. To validate results derived from the regulatory evaluation, semistructured interviews with park managers were carried out. Results revealed the importance of incorporating equity discourses into policies that regulate NP networks to guarantee that all the intersectional realities for park uses are considered in their management. Furthermore, when a country develops a well-structured federal framework under which the rights of PwDs are ensured, it transcends other fields of law. Differences between the Canadian and the Spanish situation are highlighted, as well as the need for links between higher-level policies and laws and on-the-ground implementation, with NP management plans playing an important role.