LOCATING EMPLOYMENT GROWTH IN URBAN AREAS TO MINIMIZE TRAVEL TIME

The transportation requirements of an urban area are, in part, a function of its land use pattern. Reducing travel in an urban area by effective land use design appears to be a worthwhile public policy objective. The planning model derived in this article uses as its core the matrix version of the Lowry model developed by Garin. The model allocates basic employment to the zones of an urban area in order to minimize work and service trips. A hypothetical planning problem for Metropolitan Toronto illustrates use of the model.     

Integrating geographical information systems and multiple criteria decision-making methods

Abstract

Many spatial decision-making problems, such as site selection or land use allocation require the decision-maker to consider the impacts of choice-alternatives along multiple dimensions in order to choose the best alternative. The decision-making process, involving policy priorities, trade-offs, and uncertainties, can be aided by Multiple Criteria Decision making (MCDM) methods. This paper presents a framework for integrating geographical information systems (GIS) and MCDM methods. In this framework the MCDM methods are classified and matched with choice heuristics used by the decision-makers in the presence of competing alternatives and multiple evaluation criteria. Two strategies for integrating GIS with MCDM are proposed. The first strategy suggests linking GIS and MCDM techniques using a file exchange mechanism. The second strategy suggests integrating GIS and MCDM functions using a common database. The paper presents the implementation of the first strategy using PC-ARC/INFO, a file exchange module, and four different MCDM computer programs.     

Design of a view-based DSS for location planning

Abstract.

The traditional approach in DSS falls short of providing a highly interactive problem solving environment for planning. Often, cumbersome procedures are required to implement optional plans and obtain feedback information. In dynamic graphic systems, the user is able to view different linked graphic representations (e.g., spatial or statistical graphs) of statistical data and interact (e.g., selecting items) with these graphics. In this paper we describe the design of a DSS for planning facility locations, which uses principles of dynamic graphics to achieve a highly interactive problem solving environment. As in dynamic graphic systems, the user interacts with the DSS through active and linked views. However, where views in dynamic graphics are different representations of a given dataset, the views in the DSS are active data structures describing the facility system to be planned from different perspectives. The declarative and procedural forms of knowledge involved are identified by a logical analysis of planning problems. A frame-based formalism is proposed to represent the knowledge contained in the views. The main advantage of this view-based approach is that it offers the user a highly flexible and interactive environment for performing ‘what-if’ analyses.     

JAMGIS,the first Jamaican Government comprehensive multi-data geographical information system Achievements and problems

Abstract

JAMGIS, the first comprehensive multi-data geographical information system (GIS) in Jamaica, has been developed by the Ministry of Agriculture in cooperation with USAID and two universities in the U.S.A. The system and its database are described and a number of problems encountered in its development and practical application are discussed. The most valuable products to date have been the delineation of areas of crop suitability, two series of twelve land use/cover maps at 1:50000 scale and statistical analyses of soil and land resources.     

Logical data modelling for geographical applications

Abstract.

A formal, yet practical, GeoRelational Data Model (GRDM) is presented for the logical database design phase of the development of spatial information systems. Geographic applications are viewed in the context of information systems development. The generic needs of modelling spatial data are analyzed; it is concluded that they are not served satisfactorily by existing data models, so specifications of modelling tools for spatial application design are given. GRDM provides a set of representational constructs (relations and layers for the logical schema; virtual layers, object classes and spatial constraints for the user views) on top of well-established models. It constitutes part of a full, easily automated application design methodology. Extensive examples demonstrate the relevance, and ease-of-use of the platform-independent GRDM.     

Simulating urban land use change by integrating a convolutional neural network with vector-based cellular automata

ABSTRACT

Vector-based cellular automata (VCA) models have been applied in land use change simulations at fine scales. However, the neighborhood effects of the driving factors are rarely considered in the exploration of the transition suitability of cells, leading to lower simulation accuracy. This study proposes a convolutional neural network (CNN)-VCA model that adopts the CNN to extract the high-level features of the driving factors within a neighborhood of an irregularly shaped cell and discover the relationships between multiple land use changes and driving factors at the neighborhood level. The proposed model was applied to simulate urban land use changes in Shenzhen, China. Compared with several VCA models using other machine learning methods, the proposed CNN-VCA model obtained the highest simulation accuracy (figure-of-merit = 0.361). The results indicated that the CNN-VCA model can effectively uncover the neighborhood effects of multiple driving factors on the developmental potential of land parcels and obtain more details on the morphological characteristics of land parcels. Moreover, the land use patterns of 2020 and 2025 under an ecological control strategy were simulated to provide decision support for urban planning.     

The use of land and property information systems

Abstract

This paper examines the use of land and property information systems by local authorities in England and Wales. A number of important lessons for the future are discussed. There is much evidence which suggests that the primary use of land and property information systems is to support administrative tasks. This is an important conclusion when it is borne in mind that, in early days of discussions on the design of land and property information systems, it was envisaged that most of the output from such systems would be for management     

LUCC驱动力模型研究综述

驱动力研究是土地利用变化研究中的核心问题。土地利用变化驱动力模型是分析土地利用变化原因和结果的有力工具，模型通过情景分析可为土地利用规划与决策提供依据。基于不同理论的驱动力研究方法很多，论文选取了几种国内外应用较多的LUCC驱动力模型进行综述，分析了每个模型的优缺点及适用范围，最后得出结论：1) 基于过程的动态模型更适于研究复杂的土地利用系统。2) 基于经验的统计模型能弥补基于过程的动态模型的不足。3) 基于不同学科背景的模型进一步集成将是LUCC驱动力模型未来的发展趋势。     

The Swedish Land Data Bank

Abstract

The Swedish Land Data Bank System has been developed in order to rationalize handling of data on real properties and land. The system replaces earlier manual systems for property and land registration. It interacts regularly with other EDP-based information systems and serves as a land information system (LIS) in a broad sense. The system is being steadily extended to cover all parts of the country. The costs for design, implementation and maintenance of the system are covered by reductions of costs for property and land registration.     

Transferability study of the Large Zone Economic Module (LZEM) of the SE3M model of land use and transportation

Models of urban land use are often used in the policy analysis process to forecast long-range impacts of various land use policies or urban infrastructure projects. For models that have been deemed suitable for multiple implementations, a critical, initial test of the model framework is to examine the model's transferability to other geographies. The purpose of this paper is to present a transferability study of the Large Zone Economic Module (LZEM) of the SE³M model of land use and transportation. The SE³M was initially implemented in the US territory of Guam. The islands of Puerto Rico and Oahu were selected as case studies for this model, transferability evaluation. LZEM is implemented with three base years (2000, 2002 and 2007) for these case studies and then validated to 2010 as horizon year for which validation data was available in the Puerto Rico and Oahu implementations. This paper presents evidence that LZEM is reasonably accurate when applied to other geographic regions and that if specific economic parameters are identified, the entire regional economy and the associated population and employment distribution can be spatially modeled within the LZEM framework.     

Ecosystem health assessment based on analysis of a land use database

Data resources and assessment frameworks are two keys to ecosystem health assessment (EHA). Application of the land use database together with the Pressure–State–Response (PSR) model in EHA provides better precision relative to traditional data resources and assessment frameworks for EHA at the county scale. The raw data are taken from The Anlu County Annals, The Soil Records of Anlu County, and The Statistical Yearbook of National Economy in Anlu County. The spatial and attribute data are partly extracted from the database of current land use in Anlu City using the MAPGIS platform. Based on the results from principal component analysis (PCA), a total of eleven indicators were selected to build an indicator system designed to assess the ecosystem health at the county scale. According to the PSR model, the scores from three indices (press index, state index, and response index) and a comprehensive assessment index (CAI) were calculated, and an assessment map was constructed. The results from the index scores and spatial analysis display a large range for the state of ecosystem health due to the evolution of natural ecosystems and human activities at the county scale. The precision of the current land use database (scale of 1:10,000) makes it a better candidate for evaluating ecosystem health than the traditional data resources. This study also demonstrates the numerous benefits of combining land use databases with GIS functions to assess ecosystem health at the county scale.     

1990—2010年黄河宁蒙段所处流域土地利用变化

以Landsat TM和ETM+遥感影像为基础数据源,应用地理信息系统技术,对黄河宁蒙段所处流域1990-2010年土地利用变化进行了监测,并结合气候变化、人类活动和政策因素探讨了土地利用变化的驱动力,初步分析了土地利用/覆被变化对流域水-沙关系的影响。结果表明：（1）20年来研究区建设用地面积增加了1 310.04 km²,耕地面积增加了611.15 km²,水域和草地面积分别减少了1 499.51 km²和474.93 km²;（2）20年来黄河宁蒙段所处流域土地利用变化速度经历了缓慢变化-显著变化-急剧变化的过程。各土地利用类型在后10 年（2000-2010年）的变化速度均比前10年（1990-2000年）大;（3）研究时段内草地和未利用地转化为林地,草地和耕地被开发为建设用地,未利用地和草地被开垦为耕地;（4）人类活动和政策因素是影响20年来土地利用变化的主要驱动因子,但人口数量的增加、经济的发展及环境政策的调整对研究区土地利用变化的影响更为显著;（5）1990-2010年流域耕地和林地面积分别增加了611.15 km²和543.19 km²,植被覆盖度由1990年的34.7%增加到2010年的40.8%。林地和耕地面积的增加均使得流域总蒸发量增加,灌溉用水增加,从而径流量减少,植被覆盖度的增加使得流域径流量和输沙量均降低。     

塔里木河流域土地利用监测适宜尺度选择方法

Optimal scale is one of the important issues in ecology and geography. Based on land-use data of the Tarim River Basin in Xinjiang of China in the 1950s, regarding the area of land use types as the parameter in scale selecting, the histograms of the patches in area are charted. Then, by reinforcing the normalized scale variances (NSV) with 3 landscape indices, the scale characteristics of land use in the Tarim River Basin can be summarized. (1) NSV in the Tarim River up to a maximum at scale of 1:50,000 which is considered appropriate for the Tarim River. (2) Diversity indices of saline land are consistent with NSV’s. Diversity indices and NSV of sandy land showed that the appropriate scale is in the same scale domain. There is a significant difference between diversity indices and NSV of forestland and shrubland. (3) Fractal dimension of sandy land and saline land showed a hierarchical structure at a scale of 1:10,000. Fractal dimension of forestland and shrubland are distributed under the same hierarchical structure in the region. Foundation: National Natural Science Foundation of China, No.40571030; No.40730633 Author: Zhao Jin (1980–), Ph.D, specialized in study of scale effect.     

A GIS method to aid in non-point source critical area analysis

Abstract

The use of remote sensing techniques, image processing, computer mapping and overlays to make inventories of land use and to improve land and water management has increasing potential. Advantages of these techniques include greater geometric resolution and potential time and money savings. The increasing capabilities of personal computers and workstations (hardware and software) and the greater availability of databases have simplified the application of these techniques. In this application, a geographical information system (GIS) was used to facilitate the identification of critical non-point source areas of pollution by sediment-related nutrients. This critical source area information might then be used to aid in the development of non-point source control strategies or for monitoring programme design. This study shows the potential of using GIS in selecting critical source areas for sediment-related water quality problems and land resource protection.     

Coupling fuzzy clustering and cellular automata based on local maxima of development potential to model urban emergence and expansion in economic development zones

ABSTRACT

Modeling urban growth in Economic development zones (EDZs) can help planners determine appropriate land policies for these regions. However, sometimes EDZs are established in remote areas outside of central cities that have no historical urban areas. Existing models are unable to simulate the emergence of urban areas without historical urban land in EDZs. In this study, a cellular automaton (CA) model based on fuzzy clustering is developed to address this issue. This model is implemented by coupling an unsupervised classification method and a modified CA model with an urban emergence mechanism based on local maxima. Through an analysis of the planning policies and existing infrastructure, the proposed model can detect the potential start zones and simulate the trajectory of urban growth independent of the historical urban land use. The method is validated in the urban emergence simulation of the Taiping Bay development zone in Dalian, China from 2013 to 2019. The proposed model is applied to future simulation in 2019–2030. The results demonstrate that the proposed model can be used to predict urban emergence and generate the possible future urban form, which will assist planners in determining the urban layout and controlling urban growth in EDZs.     

Policy Boosterism,Policy Mobilities,and the Extrospective City

Abstract

This study develops the notion of “policy boosterism,” a subset of traditional branding and marketing activities that involves the active promotion of locally developed and/or locally successful policies, programs, or practices across wider geographical fields as well as to broader communities of interested peers. It is argued that policy boosterism is (1) an important element of how urban policy actors engage with global communities of professional peers and with local residents, and (2) a useful concept with which to interrogate and understand how policies and policy knowledge are mobilized among cities. A conceptualization of policy boosterism and its role in global-urban policymaking is developed by combining insights from the burgeoning “policy mobilities” literature with those of the longstanding literature on entrepreneurial city marketing. It is supported by illustrative examples of policy boosterism in Vancouver: the city's Greenest City and Green Capital initiatives, the use of the term “Vancouverism” among the city's urban design community, and demonstrations of new urban technologies during the 2010 Winter Olympics that were used to market a particular vision of the city's governance to people from elsewhere, but also—crucially—to local audiences. The article concludes by highlighting four foci that might frame future work at the intersections of policy boosterism and policy mobilities.     

Areal interpolation of spatially extensive variables: A comparison of alternative techniques

Abstract

This paper presents a methodology which provides a practicable solution to a specific class of areal interpolation problems. The method allows for the transformation of the areal basis of land use data from a set of reporting units to a set of land capability classes within each of which land use mix is assumed to be homogeneous. Three alternative procedures, based on least squares criteria, are suggested for estimation of the land use mix in each land class. Although these are shown to produce similar and broadly plausible results in an empirical application, choice of procedure may be guided by consideration of the particular application and computational ease.     

Interactive GIS for environmental risk assessment

Abstract

Geographical Information Systems can be used for processing spatial data to assess the risks of environmental contamination. Their use depends upon the amount and quality of available data, the models for interpolation and calculation of health risk, data processing procedures and interactivity. In this study, it is shown that interactive use of GIS is important for obtaining physically relevant results. Three forms of interactivity are distinguished: interactivity by means of user interfacing, interactivity requiring additional information outside GIS and interactivity when changing the use of GIS. Three stages in which interaction with GIS are crucial can be distinguished: application of geostatistics, choice of appropriate models, and decision making. This study focuses on three cases in The Netherlands dealing with soil contamination and soil stress analysis and with implications for risk assessment in which interactivity within GIS is analysed. Emphasis is given to contour volumes of polluted soil, to combine GIS with deterministic models and to apply land use scenarios. Finally, there is a discussion of how some forms of interactivity could be replaced by expert systems.