scholarly journals Lhasa land development planning based on Smart Growth Theory and UGB Theory

Author(s):  
Zhuoqian Li
2011 ◽  
Vol 105-107 ◽  
pp. 1628-1633
Author(s):  
Ting Wan ◽  
Yue Gu ◽  
Jian Xu

Under the Guidance of Smart Growth Theory, the paper respectively discusses the spatial patterns including ecological network, waterfront accessible space and transit-oriented patterns through the analysis of project background and development conditions of Harbin Songbei New District Planning, and explores the functionally-integrated spatial layout patterns suitable for the development of Songbei New District through comparison and selection of various schemes, as well as analyzes the guidance and application of Smart Growth Theory in intensive urban development in order to propose reasonable measures and suggestions for the development planning of the New District.


2010 ◽  
Vol 1 (1) ◽  
Author(s):  
Wenkuan Chen ◽  
Li Huang ◽  
Xuanzi Wei ◽  
Ping Huang

2021 ◽  
Vol 13 (20) ◽  
pp. 11259
Author(s):  
Khaleel Muhammed ◽  
Aavudai Anandhi ◽  
Gang Chen ◽  
Kevin Poole

As the human population increases, the landscape is altered to provide housing, food, and industry. Human activity poses a risk to the health of natural habitats that, in turn, affect biodiversity. Biodiversity is necessary for a functioning ecosystem, as species work synergistically to create a livable environment. It is, therefore, important to know how human practices and natural events threaten these habitats and the species living in them. A universal method of modeling habitat threats does not exist. This paper details the use of a literature review to formulate a new framework called Define–Investigate–Estimate–Map (DIEM). This framework is a process of defining threats, investigating an area to discover what threats are present, estimating the severity of those threats, and mapping the threats. Analysis of 62 studies was conducted to determine how different authors define and characterize threats in various contexts. The results of this analysis were then applied to a case study to evaluate the Choctawhatchee River and Bay Watershed. Results suggest that the most abundant threat in the watershed is agricultural development, and the most destructive threat is urban development. These two threats have the greatest impact on the total threat level of the watershed. Applying the DIEM framework demonstrates its helpfulness in regional analysis, watershed modeling, and land development planning.


2006 ◽  
Vol 40 (3) ◽  
pp. 212-248 ◽  
Author(s):  
Steven A. Gabriel ◽  
José A. Faria ◽  
Glenn E. Moglen

1981 ◽  
Vol 13 (6) ◽  
pp. 763-779 ◽  
Author(s):  
M J Webber

This paper evaluates the role of operational models in urban, physical planning. A theory of planning is proposed and used to guide discussion of the experience of urban development planning in the USA and UK during the last two decades. It is concluded that physical planning is an institution which controls the location and level of public investment in urban infrastructure and which produces plans of the development of urban areas as a means of increasing the profitability and reducing the risks associated with private land development. Operational models are used in this process to provide forecasts of development; the nature of these models can then be deduced.


2021 ◽  
Author(s):  
Yiwei Zhang ◽  
Jianping Chen ◽  
Qing Wang ◽  
Chun Tan ◽  
Yongchao Li ◽  
...  

Abstract. Debris flow is one of the main causes of life loss and infrastructure damage in mountainous areas, so these hazards must be recognized in the early stage of land development planning. According to field investigation and expert experience, a scientific and effective quantitative susceptibility assessment model was established in Pinggu District of Beijing. This model is based on Geographic Information System (GIS), combining with grey relational method, data-driven and fuzzy logic methods. The inherent influence factors, which are divided into two categories, are selected in the model consistent with the system characteristics of debris flow gully and some new factors are proposed. The results of the 17 models are verified by the results published by the authority, and validated by the other two indexes as well as Area Under Curve (AUC). Through the comparison and analysis of the results, the method to optimize is proposed, including reasonable application of field investigation and expert experience, simplification of factors and scientific classification. Finally, the final optimal susceptibility map with full discussion has the potential to help in determining regional-scale land use planning and debris flow hazard mitigation for decision makers, with full use of insufficient data, scientific calculation, and reliable results. The model has advantages in economically backward areas with insufficient data in mountainous areas.


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