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Despite the growing development of tools that can integrate land use and transport, the desired integration is still illusive in daily practice. To address this gap, the current study uses spatial metrics, a set of methods traditionally used for studying changes in the spatial structure of landscapes, which are translated into the domain of transport planning. It examines how spatial metrics can be integrated into "Land Use Transport" strategy-making, and how useful they are according to the practitioners' perceptions. A Light Rail Transit corridor in Granada (Spain) provides the empirical focus of this research. Land use characteristics such as: land use mixing, land use diversity and green areas connectivity were successfully studied using spatial metrics, and they were used to map three "Land Use Transport" strategies: (i) proximity dynamics and non-motorised modes; (ii) modal shift from cars to Light Rail Transit system; (iii) shared spaces between motorised and nonmotorised modes. Practitioners perceived that spatial metrics could improve the "Land Use Transport" strategy-making process in comparison with traditional methods used in practice. However, certain shortcomings related to the usability of spatial metrics are also highlighted and discussed. This study concludes with a reflection on research challenges for adapting spatial metrics to transport practice.

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Recibido: septiembre de 2016 Aceptado: marzo de 2017 F. Aguilera Benavente; Definición de infraestructuras verdes: una propuesta V. M. Rodríguez Espinosa; M. Gómez Delgado metodológica integrada mediante análisis espacial 314 Documents d'Anàlisi Geogràfica 2018, vol. 64/2 Resum. Definició d'infraestructures verdes: una proposta metodològica integrada a través d'una anàlisi espacialEl concepte d'Infraestructura Verda (IV) ha començat a ocupar un lloc destacat en la planificació ambiental des de finals del segle xx. Amb un caràcter eminentment espacial, es planteja la necessitat de buscar procediments que permetin d'alguna manera concretar aquestes infraestructures, a partir de l'avaluació i el cartografiat de les dimensions que la integren. En aquest treball proposem una metodologia d'anàlisi espacial (mitjançant Sistemes d'Informació Geogràfica), amb l'objectiu de concretar-ne la delimitació i la cartografia a partir de l'anàlisi en cada punt del territori de quatre dimensions associades a la IV: la contribució als serveis ecosistèmics de diversos elements territorials, la connectivitat ecològica, l'accessibilitat o permeabilitat a la població i el valor ecològic. Malgrat les limitacions, es tracta d'una proposta suficientment concreta, però oberta a la vegada, i aplicable a qualsevol àrea d'estudi, fet que podria facilitar la implementació de IV al procés de planificació espanyol.

Cellular automata-based models have traditionally employed regular grids to represent the geographical environment when simulating urban growth or land use change. Over the last two decades, the scientific community has introduced the use of other spatial structures in an attempt to represent the processes simulated by these models more realistically. Cadastre parcels are a good choice when simulating urban growth at local scales, where pixels or regular cells do not represent the geographic space properly. Furthermore, the implementation and calibration of key factors such as accessibility and suitability have not been sufficiently explored in models employing irregular structures. This paper presents a fully calibrated model to simulate urban growth: Model for Urban Growth simulation using Irregular Cellular Automata. The model uses the irregular structure of the cadastre and its smallest unit: the cadastral parcel. The factors included are based on the traditional Neighbourhood, Accessibility, Suitability and Zoning Status modelling schema, frequently employed in other models. Each factor was implemented and calibrated for the irregular structure employed by the model, and a new approach was explored to introduce a random component that would reproduce illegal growth. Several versions of Model for Urban Growth simulation using Irregular Cellular Automata were produced to calibrate the model within the period 2000–2010. The results obtained from the simulations were compared against observed growth for 2010, adapting the traditional confusion matrix to irregular space. A new metric is proposed, called growth simulation accuracy, which measures how well the model locates urban growth.

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