Showing papers in "Landscape and Urban Planning in 2011"

TL;DR: The authors discusses the theory of resilience as it applies to urban conditions, and offers a suite of strategies intended to build urban resilience capacity: multifunctionality, redundancy and modularization, diversity, multi-scale networks and connectivity, and adaptive planning and design.

TL;DR: In this article, the authors investigated the effects of both the composition and configuration of land cover features on land surface temperature (LST) in Baltimore, MD, USA, using correlation analyses and multiple linear regressions.

TL;DR: In this paper, a Gaussian-based two-step floating catchment area method was adapted to assess the spatial accessibility to green spaces at the census tract level, and the Ordinary Least Squares (OLS) model and the spatial lag model were used to evaluate the racial/ethnic and socioeconomic disparities.

TL;DR: The study establishes that the simpler two-dimensional ground coverage ratio (GCR), which is readily available in the planning circle, can be used to predict the area's average pedestrian level urban ventilation performance of the city.

TL;DR: In this article, current and future particulate (PM 10 ) deposition to the urban tree canopy of the Greater London Authority (GLA) was estimated based on the Urban Forest Effects Model (UFORE) and a modified version.

TL;DR: In this article, the authors present a framework for developing indicators using field data, an urban forest functional model, and the literature, which can be used to develop urban forest structure management goals and monitor the effects of urban greening policies on human well-being.

TL;DR: Wang et al. as discussed by the authors employed integrated approaches to characterize the changing patterns and intensities of green space in Kunming, China from 1992 to 2009 using concentric and directional landscape analyses integrated with landscape metrics.

TL;DR: In this paper, the authors explored the use of spatial metrics to quantify changes in the urban growth patterns reflected in three future scenarios (2020) with a model based on cellular automata, which reproduced three urban growth processes (aggregation, compaction, and dispersion) and four urban growth pattern (aggregated, linear, leapfrogging, and nodal).

TL;DR: In this article, a cellular automata (CA)-Markov chain model of land cover change was developed to integrate protection of environmentally sensitive areas into urban growth projections at a regional scale, and the analysis provided a quantitative illustration of how their process contributes towards achieving urban planning objectives while incorporating green infrastructure.

TL;DR: In this paper, the authors trace evidence of the influence of the landscape on people's health, from ancient times to the present day, noting how access to nature and attractive green spaces has been a recurring theme in descriptions of therapeutic environments and associated healthy lifestyles.

TL;DR: The Million Trees LA initiative intends to improve Los Angeles's environment through planting and stewardship of 1 million trees as discussed by the authors, but only 1.3 million of the potential tree sites are deemed realistic to plant.

TL;DR: In this article, the authors describe the use of a public participation geographic information system (PPGIS) methodology for national park planning and evaluate the results of a 2009 park planning study conducted for national parks in the Greater Alpine region of Victoria, Australia.

TL;DR: In this article, the authors present a typology of land-use conflicts for a peri-urban area of Switzerland, based on a content analysis of print media reports on land use conflicts in a larger geographical area.

TL;DR: In this paper, the authors explored the spatial distribution of surface water flooding, the vulnerability of communities to flooding, and the characteristics of physical environment and land use that affect people's exposure to flooding.

TL;DR: In this paper, the authors assessed the potential value of urban green roofs for native pollinator conservation in the Chicago region, comparing them with reference habitats of tallgrass prairie natural areas and traditional city-park green spaces.

TL;DR: In this article, the relationship between psychological responses to forest and urban environmental settings and the physical variables that characterize these environments was examined by examining the psychological responses of 168 subjects to their physical environment.

TL;DR: In this article, the authors reviewed the major causes of this extensive allergenicity, including: low species biodiversity at planting; the over abundance of given species acting as key specific pollen sources; the planting of exotic species prompting new allergies in the population; the choice of male, pollen-producing individuals in dioecious species; the presence of invasive species; inappropriate garden management and maintenance activities; the appearance of cross-reactivity between phylogenetically related species; and the interaction between pollen and air pollutants.

TL;DR: An urban growth boundary model (UGBM) which utilizes artificial neural networks (ANN), geospatial information systems (GIS) and remote sensing (RS) to simulate the complex geometry of the urban boundary of Tehran, Iran is presented.

TL;DR: In this article, the authors discuss future research and strategic directions to achieve a systems approach that includes the design and management of nearby built areas to be compatible with green infrastructure, and outline a range of processes, research, policy tools and educational strategies that could be used to engage key stakeholder groups more closely with urban biodiversity conservation.

TL;DR: In this article, a simple stormwater model, SGWATER, is used to assess the sensitivity of stormwater runoff and pollutant loads to changes in impervious cover, precipitation volume, and event intensity.

TL;DR: An improved cellular automata model of urban growth based on particle swarm optimization (PSO) approach with inertia weight is presented, demonstrating that the PSO-CA model outperforms other spatial statistical based CA models.

TL;DR: In this article, the authors present a model that can be used to put the value of green infrastructure investments into economic terms. And they show that using this model helps to justify policy's support for and investment in green space.

TL;DR: In this paper, the authors compared various land suitability index (LSI) maps created using a geographic information system (GIS) with frequency ratio (FR), analytical hierarchy process (AHP), logistic regression (LR), and artificial neural network (ANN) approaches to forecasting urban land-use changes.

TL;DR: In this article, the authors evaluated the sustainability performance of the interim use strategy in the context of the city's sustainability goals and public use and perception of the sites, thereby providing insights for planners into the efficacy of this planning tool for neighborhood revitalization.

TL;DR: In this paper, a logistic regression was used to model the probability of land abandonment, observed as the land cover change from agricultural land to arboreous shrubland or native forest between 1985 and 2007.

TL;DR: In this paper, the authors explore bird communities in different types of small urban greenspaces in order to understand which birds occupy these structures, and the habitat and landscape features that affect them.

TL;DR: In this paper, the authors analyzed species richness, diversity and community composition of 63 bird species with reference to major urban environmental gradients at 96 sampling points in three Swiss cities and selected the best explanatory models from candidate models following information theory, and their respective predictions were averaged based on AICc-weights.

TL;DR: Wang et al. as discussed by the authors investigated the relationship between urban land use patterns and energy consumption in five cities of the Pearl River Delta (PRD) in south China, namely Guangzhou, Dongguan, Shenzhen, Foshan and Zhongshan.

TL;DR: In this paper, the authors examine how landscape evidence of care has a halo effect in which an overall impression of the appearance of the landscape affects assumptions about the people who are responsible for providing care, as well as assumptions about resource characteristics.

TL;DR: This article explored students' preferences toward natural and wild versus clean and neat residential landscapes using preference survey data and found that senior students and students from large cities also prefer well-maintained and artificial landscapes.