Showing papers in "Computers, Environment and Urban Systems in 2010"
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TL;DR: This paper reviews the research, development, education, and other efforts that have contributed to building GCI in terms of its history, objectives, architecture, supporting technologies, functions, application communities, and future research directions.
331 citations
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TL;DR: In this paper, a five-step procedure has been developed for estimating total rooftop PV potential which involves geographical division of the region; sampling using the Feature Analyst extraction software; extrapolation using roof area-population relationships; reduction for shading, other uses and orientation; and conversion to power and energy outputs.
327 citations
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TL;DR: A novel methodology to reveal cabdrivers’ operation patterns by analyzing their continuous digital traces is developed, which has the great potential to utilize the massive pervasive data sets to understand human behavior and high-level intelligence.
239 citations
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TL;DR: This paper investigates the possible application of an artificial neural network model and its cross-application of weights at three study areas in Malaysia, Penang Island, Cameron Highland and Selangor, and verification results showed satisfactory agreement between the susceptibility map and the existing data on the landslide location.
219 citations
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TL;DR: The prospects for the generation of interactive 3D City Models based on free geo-data available from the OpenStreetMap (OSM) project and public domain height information provided by the Shuttle Radar Topography Mission are investigated.
206 citations
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TL;DR: A new version of the SLEUTH model (SLEUTH-3r), which introduces new functionality and fit metrics that substantially increase the performance and applicability of the model, and developed methods that expand the capability of S LEUTH to incorporate economic, cultural and policy information, opening up new avenues for the integration of SLEuth with other land-change models.
192 citations
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TL;DR: The results show that a hybrid model structure, integrating (static) determining factors (distance to the main roads, distance to the largest cities, employment potential, slope and zoning status of the land) and (dynamic) neighbourhood interactions produces the most accurate probability map.
189 citations
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TL;DR: Results highlight the caveats on using DEM-derived river network data for hydrologic applications and the difficulties in reconciling differences among elevation data from various sources and of different resolutions.
184 citations
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TL;DR: The technical issues of developing a virtual globe-based 3D visualization framework for publicizing urban planning information, using Web Services and Service Oriented Architecture (SOA) to support visual planning model sharing and interoperability are discussed.
155 citations
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TL;DR: This research represents the first working example of integrating a behavioural framework into an ABM for the simulation of crime and demonstrates the potential of this approach for both understanding processes behind crime and improving policies and developing effective crime prevention strategies.
125 citations
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TL;DR: The main aim of this paper is to present an implementation of a consensus measuring procedure within WebGIS-based collaborative decision support tool, called ParticipatoryGIS.com, used for tackling a site-selection problem in the Town of Canmore, Alberta.
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TL;DR: The results showed that the variation of the spatial extent, cell size, and neighborhood size and shape influenced the model’s behavior in different ways and recommended the finest resolution and a neighborhood size of 9 × 9 cells arranged in a scope shape.
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TL;DR: This work augments previous research by providing more accurate and objective measures of access and view for urban beach residential properties and integrates them into a hedonic property price model to disentangle and estimate households’ willingness to pay for beachAccess and view.
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TL;DR: This article studies how geoportals can benefit from the Web 2.0 features by defining related concepts, by emphasising advantages and caveats of such an approach, and proposing appropriate implementation strategies.
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TL;DR: Wang et al. as discussed by the authors proposed an improved snake model that focuses on building extraction from color aerial images and light detection and ranging (LiDAR) data, which includes a new height similarity energy factor and regional similarity energy as well as gradient vector flow, which efficiently attracts the snake approaching the object contours.
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TL;DR: It is contended that virtual globes have a key role in fully exploiting the potential of the new paradigm and which is largely based on dense and semantically rich 3D point clouds.
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TL;DR: The objective of the research presented in this paper is to represent two-dimensional indoor spaces with a grid graph-based model that takes into account the structural and spatial properties of an indoor space.
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TL;DR: This paper focuses on two particular problems that are rarely considered in the analysis of multivariate population data, and makes use of methods for dealing properly with compositional data.
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TL;DR: Under the simulated planning situation, a potentially acceptable solution for planners and developers involves a relatively high compactness of development, which could satisfy agents’ overall disutility.
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TL;DR: This research presents a method to establish the visible extents of landmarks in an urban environment, through the development of a number of visual metrics, which are tested in both synthetic and real world trials.
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TL;DR: Evidence is provided that the visualization type may influence the affective appraisal of the environment represented and the need for further research is discussed, especially regarding the question whether these types of visualizations may influence judgement and decision-making in environmental planning.
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TL;DR: It is concluded that using role play as a validation technique can provide valuable information about the performance of the model and aid identification and understanding of those parts of a multi-actor spatial planning system that are currently poorly understood and poorly represented by the agents.
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TL;DR: The results show that the use of LiDAR data in emergency response situations can significantly reduce the response times for first responders to reach disaster sites.
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TL;DR: The model developed here has been found to incorporate an operator to successfully generate non-dominated Pareto optimal solutions and a Pare to front and the results obtained indicate that the model can successfully provide optimum locations for new POSs.
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TL;DR: A visualization tool to attain consensus on townscape design within local planning committees in Japan and found that it is difficult for stakeholders to reach consensus on privately owned properties: they feel apprehensive in local open planning committees.
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TL;DR: This paper presents a maximal wireless covering problem with survivability constraints based on network connectivity using binary integer programming and demonstrates tradeoffs between coverage and network survivability given a fixed number of selected facility locations.
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TL;DR: The effort to migrate a Dust Regional Atmospheric Model (DREAM) to the Nonhydrostatic Mesoscale Model (NMM), core of the WRF system’s (WRF–NMM)-based dust model is reported, which can leverage high-performance computing clusters to reduce the execution time while at the same time enhancing the simulation resolution.
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TL;DR: This research suggests that high-risk places can be pre-identified as control targets using census and land use data and a better understanding on the city-wide travel of individuals is critical for designing proper timelines for influenza control.
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TL;DR: It is suggested that the outputs of Dempster-Shafer MCE may be more appropriate than a fully fuzzy model of suitability in a context where suitability (wildness) may not be very well defined and the decision makers may not fully understand the informatics aspects associated with applying weights.
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TL;DR: The method first builds a node-edge topology, generates polygons from these edges, and then calculates a set of parameters, specifically consistent arrangement, shape similarity, and a grid shape index of the polygons that identify spatial patterns via a multi-criteria decision method.