Planning Cultures and Histories: Influences on the Evolution of Planning Systems and Spatial Development Patterns

Abstract

This special issue addresses the influences of planning cultures and histories on the evolution of planning systems and spatial development. As well as providing an international comparative perspective on these issues, the collection of articles also engages in a search for new conceptual frameworks and alternative points of view to better understand and explain these differences. The articles focus on three main aspects: the change in planning systems and its impact on spatial development patterns; the interrelationship between planning cultures and histories from a path-dependency perspective; and the variations in physical development patterns resulting from different planning cultures and histories. Papers from different parts of the European continent present evidence at different scales to illustrate these aspects. In all cases, the specific combinations of political, ideological, social, economic and technological factors are important in determining urban and regional planning trajectories as well as spatial development patterns.     

Exploring Spatial Patterns Using an Expanded Spatial Autocorrelation Framework

Spatial autocorrelation (SA) is regarded as an important dimension of spatial pattern. SA measures usually consist of two components: measuring the similarity of attribute values and defining the spatial relationships among observations. The latter component is often represented by a spatial weights matrix that predefines spatial relationship between observations in most measures. Therefore, SA measures, in essence, are measures of attribute similarity, conditioned by spatial relationship. Another dimension of spatial pattern can be explored by controlling observations to be compared based upon the degree of attribute similarity. The resulting measures are spatial proximity measures of observations, meeting predefined attribute similarity criteria. Proposed measures reflect degrees of clustering or dispersion for observations meeting certain levels of attribute similarity. An existing spatial autocorrelation framework is expanded to a general framework to evaluate spatial patterns and can accommodate the proposed approach measuring proximity. Analogous to the concept of variogram, clustergram is proposed to show the levels of spatial clustering over a range of attribute similarity, or attribute lags. Specific measures based on the proposed approach are formulated and applied to a hypothetical landscape and an empirical example, showing that these new measures capture spatial pattern information not reflected by traditional spatial autocorrelation measures.     

Duration Modeling of Spatial Point Patterns

This paper attempts to further the research by Odland and Ellis (1992) in applying event history methodology to the analysis of spatial point patterns (that is, event patterns). Its empirical focus is the event pattern derived from the adoption of an agricultural innovation, the Harvestore, in southern Ontario, Canada, from 1963 to 1986. Event history analysis involves the use of discrete-state, continuous-time stochastic models to investigate a temporal longitudinal record on discrete variables. Event history models are usually concerned with durations of time between events and the effects of intertemporal time dependencies on future event occurrences. As such, they are often referred to as duration models. Many of the methods used in event history analysis allow the use of other nonnegative interval measurements in place of standard temporal intervals to investigate a series of events. In particular, spatial intervals (or durations) of distances between events may also be accommodated by event history models. Our analysis extends the previous research of Odland and Ellis (1992) by using a wider range of parametric models to explore duration dependence, investigating the role of spatial censoring, and using a more extensive set of explanatory variables. In addition, simulation experiments and graphical tests are used to evaluate the empirical event pattern against one generated from Complete Spatial Randomness. Results indicate that the event pattern formed by the Harvestore adopter farms is clustered (that is, is described by positive duration dependency), the sales agent is a significant factor in the distribution of adopters, and that contrasting results are obtained from the analysis using censored data versus uncensored data.     

Concepts in Social and Spatial Marginality

The purpose of this paper is to present a conceptual taxonomy of marginality resulting from two counterposed structural conditions within laissez-faire on the one hand and controlled markets on the other. Marginality is a complex condition of disadvantage that individuals and communities may experience because of vulnerabilities which may arise from unequal or inequitable environmental, ethnic, cultural, social, political and economic factors. A typology of marginality is based on two primary and two derivative forms. The primary forms are contingent and systemic . The derivative forms are collateral and lever-aged . Contingent marginality is a condition that results from competitive inequality in which individuals and communities are put at a disadvantage because of the dynamics of the free market whose uncertain and stochastic outcomes affect them adversely. Systemic marginality is a socioeconomic condition of disadvantage created by socially constructed inequitable non-market forces of bias. Collateral marginality is a condition experienced by individuals or communities who are marginalized solely on the basis of their social and/or geographic proximity to individuals or communities that experience either contingent or systemic marginality. Lever-aged marginality is a contingent or systemic disadvantage that people/communities are made to experience when their bargaining position in free markets is weakened by dominant stakeholders like transnational corporations which are able to leverage lucrative concessions by using the threat of alternative, often cheaper and marginalized (contingent or systemic) labour pools to which they can potentially take their business.     

The Spatial Patterns of Networks,Hierarchies and Subsidiaries

This article reviews evidence and arguments linking the networking behaviour of firms with geographic distance, before examining the spatial relationships of electronics firms in the three major electronics centres in Spain. The focus is on the spatial pattern and extent of different types of inter-firm relations. Based on the analysis of 184 surveyed establishments, displaying different ownership and organization characteristics, the results show that while regional linkages are important, significant extra-regional linkages are also maintained by firms in regional clusters. The spatial extent of linkages depends on the mode of relations; arm's length, network and hierarchy relations show different spatial patterns, as do different types of cooperation. The importance of extra-regional linkages also varies with firm- and plant-specific characteristics. Extra-regional linkages are more common among larger and more R&D-intensive firms, firms with greater presence in the rest of the country and firms with more experience of cooperation and more stable relationships.     

Elementary Spatial Systems of Industrial Production

An elementary spatial system of industrial production is conceptualized as the primary geographical formation in industry. Such an elementary production system (EPS) is viewed as consisting of raw-material and consumption nodes connected by lines of movement with a single production node. Besides the measures proposed by Kansky (University of Chicago, Research Paper 84, 1963), such a system, represented in the form of a connected, directed graph, can be described by measures of material and spatial transformation and by indices of dispersion of aggregate nodes. Characteristic properties of EPS are the spatial attraction between nodes and the spatial coincidence and intersection of common nodes of two or more systems. The usual Weberian movement-minimization approach to the building of a model of such an elementary production system is judged to be inadequate because it ignores local differences in production costs, and a “field of potential costs” is proposed instead to take account of the total cost picture.     

屈家岭文化的聚落形态与社会结构分析--以淅川黄楝树遗址为例

本文通过对淅川黄楝树屈家岭文化聚落形态进行深入分析,揭示了当时的某些社会结构特点.文章认为,黄楝树遗址的屈家岭文化建筑群在平面布局上既表现出很强的整体性,又允许各家房屋保持其相对的独立性.折射出当时的社会结构,一方面亲族组织具有很强的凝聚力和影响力,另一方面家庭私有制已经出现,家庭已成为基本生产和消费单位.     

Transnational Flows of E-Waste and Spatial Patterns of Recycling in China

Two geographers residing in Beijing discuss the inflows, processing, and consumption of electronic waste—a topic largely neglected in the current literature on globalization. Based on extensive interviews with electronics producers and recyclers in China, the paper explores the global flows of e-waste and concentration of related recycling in coastal China. The authors suggest that recycling activities (authorized as well as illegal) grew in tandem with the dramatic increase in electronics production during the last decade. They note that the country's recycling sector has played a significant role in rural industrialization and local economic development, albeit in conflict with the objectives of environmental protection. Journal of Economic Literature, Classification Numbers: F20, L63, O17, O19. 6 figures, 23 references.     

Spatial Agglomeration of Manufacturing in Greece: Sectoral Patterns and Determinants

This article aims to demonstrate how the industry characteristics of manufacturing sectors affect the patterns of their spatial agglomeration. It also addresses several intricate issues concerning the measurement of localization economies and estimation of their main determinants in manufacturing industries. The original empirical analysis employs annual industrial data from the Hellenic Statistical Authority (ELSTAT) during the period 1993–2006 in Greece at the prefecture level, i.e. for 51 prefectures. The data processing reveals three important findings. The first is the temporal persistence of localization economies in the Greek manufacturing. The second refers to the high level of agglomeration associated with the high-technology industries as well as the resource- and scale-intensive industries. Lastly, there are significant effects of industry characteristics related to knowledge externalities, labour skills and productivity, scale economies and own-transport expenditure on spatial agglomeration, as resulted from the use of alternative geographic concentration indices and panel data models. Results obtained have implications for policy-makers, who can enhance the regional manufacturing activity by affecting these industry-specific factors. Amongst others, planning measures and policies which aim at promoting the local development and regional convergence should focus on reducing transport costs for firms or sectors, by improving the infrastructure capacity, interconnectivity and quality of services.     

Local Indicators of Network-Constrained Clusters in Spatial Point Patterns

The detection of clustering in a spatial phenomenon of interest is an important issue in spatial pattern analysis. While traditional methods mostly rely on the planar space assumption, many spatial phenomena defy the logic of this assumption. For instance, certain spatial phenomena related to human activities are inherently constrained by a transportation network because of our strong dependence on the transportation system. This article thus introduces an exploratory spatial data analysis method named l ocal i ndicators of n etwork-constrained c luster s (LINCS), for detecting local-scale clustering in a spatial phenomenon that is constrained by a network space. The LINCS method presented here applies to a set of point events distributed over the network space. It is based on the network K -function, which is designed to determine whether an event distribution has a significant clustering tendency with respect to the network space. First, an incremental K -function is developed so as to identify cluster size more explicitly than the original K -function does. Second, to enable identification of cluster locations, a local K -function is derived by decomposing and modifying the original network K -function. The local K -function LINCS, which is referred to as KLINCS, is tested on the distribution of 1997 highway vehicle crashes in the Buffalo, NY area. Also discussed is an adjustment of the KLINCS method for the nonuniformity of the population at risk over the network. As traffic volume can be seen as a surrogate of the population exposed to a risk of vehicle crashes, the spatial distribution of vehicle crashes is examined in relation to that of traffic volumes on the network. The results of the KLINCS analysis are validated through a comparison with priority investigation locations (PILs) designated by the New York State Department of Transportation.     

The Role of Spatial Scale in Geomorphic Systems

Geomorphic systems are characterized by numerous, complex interrelationships between system components, and by processes and controls which may operate over different spatial scales. Factors operating at any given spatial scale can be viewed as an abstracted subset of all relationships operating at all scales. The theory that relationships which operate over spatial scales an order of magnitude different are effectively independent of each other is formally stated in terms of abstracted systems. An example is given to illustrate the use of spatial statistics to determine what constitutes a significant spatial scale difference in controls over hydraulic geometry of a desert wash.     

Tracing Settlement Patterns and Channel Systems in Southern Mesopotamia Using Remote Sensing

Abstract

The integration of spatial datasets from historical satellite imagery, digital elevation models (DEMs), and past archaeological surveys provides new insights into the nature and remains of past landscape transformations. Using southern Mesopotamia as a case study, this article addresses, both quantitatively and qualitatively, long-held assumptions concerning the nature and relationship of settlement patterns and river channel systems in antiquity. GIS and image analysis are used to fill in gaps in the settlement record and propose a revised location for the Tigris River during most of antiquity. Given that only one-third of the central alluvial plain had been ground surveyed in southern Mesopotamia, how complete was our picture of landscape and settlement? How could gaps in settlement be interpreted? The present work in the area east of Baghdad suggests that archaeologists and historians have underestimated the nature and movements of the Tigris River. Satellite imagery can help reveal the location of the Tigris River prior to its settling into its modern course, shedding light on its potential role in the rise of early Mesopotamian agricultural societies. The work presented here proposes a methodology for unweaving and mapping preserved pieces of ancient landscapes, addressing larger issues of human modification of the landscape.     

Sectoral Resilience: Conceptualizing Industry-Specific Spatial Patterns of Interactive Crisis Adjustment

While the regional resilience approach stresses major place-specific factors of adaptability to economic crises, industry-sector-specific mechanisms of shock response, which often cross-regional boundaries, still require conceptualization relating to aspects of resilience. This paper proposes the concept of sectoral resilience, which acknowledges that the actors who constitute the value chains and production systems of an industry sector, when struck by a major global crisis, collectively and interactively form a sector-specific pattern of response and adaptation. As these actors often strategically use assets at different locations, industry-specific spatial patterns of adaptation emerge that affect various regions in differing ways. After defining the suggested concept and related terminology, its geographical logics are outlined. Then major conceptual pillars of sectoral resilience are depicted, relating to six major, partly interdependent process fields. For each of them, mechanisms of shock adaptation of an industry sector and major factors of inter-sectoral distinctions of resilience patterns are pointed out, briefly illustrated by the examples of the automotive and mechanical engineering sectors. The approach helps us better understand industry-specific features of crisis adaptation and intersections of regional and corporate logics of resilience.     

Changing Patterns of Fiscal Interdependence: Social Financing and Expenditure in Belarus'

An American economist stationed in the former USSR, based on interviews and data gathering at different levels of the territorial-administrative hierarchy, examines the evolution of processes of budget formation and still pervasive income redistribution in Belarus'. Considerable attention is devoted to the functioning of mechanisms of allocating and redistributing expenditures and collecting revenues among urban rayons in Minsk city and among oblast-level units in Belarus'. A particular focus is documentation of the devolution of responsibility for social spending from the central government to local levels of authority, as well as mechanisms through which local governments attempt to respond to pressing human needs. 8 tables, 8 references.     

The Efficiency of Social and Economic Image Projection in Spatial Configurations

In this paper we examine issues related to the regional images of spatial configurations and their performance in attracting resources that are expressed in terms of regional gross domestic product. The concepts of social and economic image efficiency are introduced and their dual relationship is acknowledged. A non-parametric frontier analysis methodology is proposed for assessing the two types of efficiency, based on the concept of data envelopment analysis. The method is applied to the twenty prefectures of Northern Greece on data that span the period 1981 to 1991.     

A Scale‐Sensitive Test of Attraction and Repulsion Between Spatial Point Patterns

There exist a variety of tests for attraction and repulsion effects between spatial point populations, most notably those involving either nearest‐neighbor or cell‐count statistics. Diggle and Cox (1981) showed that for the nearest‐neighbor approach, a powerful test could be constructed using Kendall's rank correlation coefficient. In the present paper, this approach is extended to cell‐count statistics in a manner paralleling the K‐function approach of Lotwick and Silverman (1982). The advantage of the present test is that, unlike nearest‐neighbors, one can identify the spatial scales at which repulsion or attraction are most significant. In addition, it avoids the torus‐wrapping restrictions implicit in the Monte Carlo testing procedure of Lotwick and Silverman. Examples are developed to show that this testing procedure can in fact identify both attraction and repulsion between the same pair of point populations at different scales of analysis.     

Spatial Patterns in the Association between the Prevalence of Asthma and Determinants of Health

The World Health Organization endorses the study of diseases from the perspective of the Determinants of Health (DH), that is, the circumstances in which people are born and raised, the environment in which they grow up and age and their lifestyle. The aim of this study is to analyze the spatial behavior of the prevalence of asthma in Aragon, a Mediterranean region in Spain, under the DH approach. The methodological process entailed building a spatial database collating asthma prevalence as dependent variable, and lifestyle, socioeconomic, and climate indicators as explanatory factors, and then evaluating the spatial variability of the relationships by combining the Principal Component Analysis (PCA), Multiscale Geographically Weighted Regression (MGWR) models and cartographic design techniques. MGWR evidenced spatially varying relationships operating at different scales. Lifestyles seem closely tied to the prevalence of asthma in most of the study area while urban functionality and local climate patterns seem to boost prevalence rates in some specific enclaves. Consequently, the social and environmental conditions that characterize the study area translate into several DH scenarios modulating the spatial distribution of asthma. This differential DH behavior detected by local regression models is relevant to guiding and refining public health decision-making.     

Geographical Patterns and Some Causes of Spatial Econoetic Variations in Perth,Western Australia

The 54 government senior high schools (SHS) in the Perth metropolitan area provide enough points for a spatial analysis in the search for indicators and correlations that may be used in relation to the results of the Australian scaling test (AST) and the tertiary entrance examination (TEE) in Western Australia. Spatial data are shown by maps, and statistical correlation pairings by graphs. The findings emphasize the great importance of socio-economic factors, such as parents' own education and employment, income and housing standard, as influences on the children's educational choices and results. The disadvantaged position of Aborigines in this respect is also stressed. This type of analysis may help in the planning of new school locations and in the choice of subjects to be offered by each school according to the suburb's socio-economic characteristics. From this analysis emerges a strong geographical pattern which separates a western prosperous belt from an underprivileged eastern belt. This separation has a long history and is due to a combination of landscape morphology, soil quality and drainage.