Scale, context, and application of traditional knowledge of the Canadian north

Polar Record ◽  
1998 ◽  
Vol 34 (188) ◽  
pp. 31-38 ◽  
Author(s):  
Frank Duerden ◽  
Richard G. Kuhn

AbstractThere is strong contemporary interest in the application of traditional environmental knowledge (TEK) of physical environments and land-use patterns in northern Canada. This interest relates to land claims, land-use planning, cultural preservation, resource management, and environmental monitoring. The application of TEK to land and resource management is critically examined and a typology relating scale, user group, and the transformation of knowledge is developed. Of the many challenges facing the incorporation of TEK in resource-management initiatives, perhaps the greatest is the recognition of the appropriateness of scale. The conclusions reached in this paper reaffirm the notion that scale and context are key components in maintaining the validity and integrity of TEK. The primary role of TEK appears to be with providing the most valid and intelligible interpretations of local geographies and prescribing locally appropriate resource-management strategies.

1962 ◽  
Vol 16 (5) ◽  
pp. 248-254
Author(s):  
N. L. Nicholson

In recording actual land use field-by-field or block-by-block methods can be applied either to detailed maps or to aerial photographs. In land-use mapping the usual scales are 1:25,000 for urban areas, 1:50,000 for densely settled areas with complex land-use patterns, and 1:250,000 for sparsely settled areas. In preparation of the map manuscript the base sheet used is of the material known as cronaflex and the transfer and reduction of information is achieved by use of the “reflex map reducer” a device invented by a geographer on the staff of the Geographical Branch.


Author(s):  
Jonathan Levine ◽  
Joe Grengs ◽  
Louis A. Merlin

This chapter traces the history of the derived-demand concept, its application to the transportation context, and an important challenge to the derived view of transportation demand. The derived-demand concept, which underpins the logic of accessibility in transportation and land-use planning, originated in realms entirely removed from transportation. The derived-demand term was coined in 1895 by the economist Alfred Marshall, who used it to describe the demand curves for goods that were intermediate to the consumption or production of other goods. However, the first application of Marshall's derived-demand concept to transportation may have come four decades later in Michael Bonavia's 1936 book The Economics of Transport. The derived-demand concept in transportation was developed further by Robert Mitchell and Chester Rapkin, who were interested in forecasting demand for transportation on the basis of land-use patterns across a metropolitan area. Ultimately, the consensus view that transportation demand is mostly derived is not an absolute truth but, rather, is based on the view that transportation is most usefully viewed—in most circumstances and for most trips—as one means to an end, rather than an end in itself.


2017 ◽  
Vol 41 (6) ◽  
pp. 579-600 ◽  
Author(s):  
Jing Yao ◽  
Xiaoxiang Zhang ◽  
Alan T. Murray

Land-use allocation has long been an important area of research in regional science. Land-use patterns are fundamental to the functions of the biosphere, creating interactions that have substantial impacts on the environment. The spatial arrangement of land uses therefore has implications for activity and travel within a region. Balancing development, economic growth, social interaction, and the protection of the natural environment is at the heart of long-term sustainability. Since land-use patterns are spatially explicit in nature, planning and management necessarily must integrate geographical information system and spatial optimization in meaningful ways if efficiency goals and objectives are to be achieved. This article reviews spatial optimization approaches that have been relied upon to support land-use planning. Characteristics of sustainable land use, particularly compactness, contiguity, and compatibility, are discussed and how spatial optimization techniques have addressed these characteristics are detailed. In particular, objectives and constraints in spatial optimization approaches are examined.


Author(s):  
Carlos J. L. BALSAS

A buildout analysis is an important methodology in land-use planning. The GIS technicalities of doing a buildout analysis tend to be the purview of professionals with a background in geographical sciences. However, it is argued that planners ought to be able to conduct buildout analysis in order to develop a better understanding of how land-use patterns could change sustainably over time depending on a community’s regulatory environment and pace of development. A state buildout analysis is compared and contrasted with buildouts conducted for two local jurisdictions on the opposite ends of Massachusetts: the towns of Amherst and Georgetown. The town of Amherst’s computations identified lower values of developable and new commercial/industrial land and 1,878 more new dwelling units than the state-led planning initiative three years earlier. In the case of Georgetown, the UMass Amherst planning consultancy identified lower values of developable land and fewer new dwelling units and 3.5 million square feet more of new commercial/industrial land than the state-led analysis. A series of implications for teaching buildout analysis in Urban and Regional Planning studio courses is presented.


Author(s):  
Yao Lu ◽  
Min Zhou ◽  
Guoliang Ou ◽  
Zuo Zhang ◽  
Li He ◽  
...  

Land-use allocation models can effectively support sustainable land use. A large number of studies solve the problems of land-use planning by constructing models, such as mathematical models and spatial analysis models. However, these models fail to fully and comprehensively consider three uncertain factors of land-use systems: randomness, interval and fuzziness. 33Therefore, through the study of the watershed land-use system, this paper develops a land-use allocation model considering the regional land–society–economy–environment system under uncertain conditions. On the basis of this model, an interval fuzzy two-stage random land-use allocation model (IFTSP-LUAM) combining social, economic and ecological factors is proposed to provide sustainable development strategies at the basin level. In addition, the proposed IFTSP-LUAM takes into account the above three uncertainties and multistage, multiobjective, dynamic, systematic and complex characteristics of typical land-use planning systems. The results showed that the model considers more socioeconomic and ecological factors and can effectively reflect the quantitative relationship between the increase in economic benefits and the decrease in environmental costs of a land-use system. The model was applied to land-use planning of Nansihu River Basin in Shandong Province. The results provided a series of suitable land-use patterns and environmental emission scenarios under uncertain conditions, which can help the watershed environmental protection bureau and watershed land-use decision-makers to formulate appropriate land-use policies, so as to balance social and economic development and ecological protection. The simulation results can provide support for an in-depth analysis of land-use patterns and the trade-off between economic development and ecological environment protection.


2020 ◽  
Vol 39 (2) ◽  
pp. 129-137
Author(s):  
Anna Grochowska ◽  
Martyna Małecka

AbstractThe purpose of this study was to identify compatibilities of land-use patterns resulting from adjacent functions within the rural commune of Oleśnica. The analysis was made based on the relevant studies of conditions and directions of spatial planning, as well as a field inventory. The results of the studies show that the applicable planning document became a potential source of spatial conflicts. On these grounds, a negative assessment was given to the functioning spatial planning system, which, according to the premises of spatial order and sustainable development, should prevent them. The existing incompatibilities are the result of issues with coordination of the local spatial policies. As a consequence, they cause an urban development chaos, lack of proper space shaping, environmental damage and lower the residents‘ quality of life.


Land ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 2
Author(s):  
Haochen Shi ◽  
Miaoxi Zhao ◽  
Duncan A. Simth ◽  
Bin Chi

Land use mix (LUM) has long been employed as one of the key methods to improve urban vibrancy and optimize built-up areas. Within the urban studies discipline, LUM is usually defined as a functional compatible but diverse land use pattern. However, its quantitative methodological approaches thereby heavily rely on the diversity of land use and fail to consider functional compatibility as another critical defining characteristic, providing only a partial picture of land use pattern. Thus, reviewing LUM’s concepts and definitions, this paper develops a new index to describe functional compatibility according to the spatial segregation measurements. To evaluate and provide empirical evidence of the proposed index, this paper selects the medium-sized city of Xiangtan as a case study. The findings demonstrate that Xiangtan exhibits a quite compatible land use pattern to a certain extent. In addition, particular clusters with relatively incompatible land use patterns are observed, which are closely linked to a special historical working unit, the ‘Danwei’ compounds, and a special rural planning authority, ‘Township-Village-Enterprise’, in China. Finally, an integrated evaluation is conducted based on the proposed index and Shannon entropy index, which can be regarded as a useful tool in future land use planning while contributing to shaping a sustainable form of urban development.


2019 ◽  
Vol 11 (18) ◽  
pp. 4909 ◽  
Author(s):  
Xia Xu ◽  
Mengxi Guan ◽  
Honglei Jiang ◽  
Lingfei Wang

Climatic, socio-economic, geophysical, and human activity factors, among others, influence land use patterns. However, these driving factors also have different relationships with each other. Combining machine learning methods and statistical models is a good way to simulate the dominant land use types. The Luan River basin is located in a farming-pastoral transitional zone and is an important ecological barrier between Beijing and Tianjin. In this study, we predicted future land use and land cover changes from 2010 to 2020 in the Luan River’s upper and middle reaches under three scenarios—the natural scenario, the ecological scenario, and the sustainable scenario. The results indicate that cultivated land will decrease while the forested areas will increase quantitatively in the future. Built-up areas would increase quickly in the natural scenario, and augmented expansion of forest would be the main features of land use changes in both the ecological scenario and the sustainable scenario. Regarding the spatial pattern, different land use patterns will be aggregated and patches will become larger. Our findings for the scenario analysis of land use changes can provide a reference case for sustainable land use planning and management in the upper and middle Luan River basin.


1976 ◽  
Vol 8 (1) ◽  
pp. 169-174
Author(s):  
Lonnie R. Vandeveer ◽  
H. Evan Drummond

Much attention has been focused recently on the need for land use planning in this country. With federal land use legislation pending, it seems imperative that resource economists develop quantitative methods for evaluating and predicting land use change. The need to develop appropriate estimation techniques is most apparent for land use change in areas which have received substantial investment in a relatively short period of time. Construction of multi-purpose reservoirs is the most important type of public investment that has impacted land use patterns in Oklahoma since the “dust bowl” days.


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