" KAMI MELAYANI UNTUK MENGABDI BAGI PENDIDIKAN "

Landscape and Urban Planning

Volume 103, Issue 1, 30 October 2011, Pages 1–14

Multipurpose greenway planning for changing cities: A framework integrating priorities and a least-cost path model

• Mingjun Teng^a, ,
• Changguang Wu^a, ,
• Zhixiang Zhou^{a, ,} ,
• Elizabeth Lord^a, ,
• Zhongming Zheng^{a, b,}

• ^a College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, PR China
• ^b Bureau of Urban Utilities and Landscaping of Wuhan Municipality, Wuhan 430010, PR China

Abstract

Urban greenways are proven strategies to counter ecological fragmentation and improve urban sustainability. However, significant challenges remain when seeking to integrate multiple functions into priority-oriented planning. In this paper, we focus on the city of Wuhan (China) to present an innovative approach for developing multi-functional greenway networks. Based on remote sensing and geographical information systems, this approach applies a least-cost path model, a kernel density analysis and a proxy index to identify and integrate multiple needs into priority greenway networks. Our priorities are bird and small mammal conservation, human recreation and water protection. In the cost settings of the least-cost path model, we include simulated construction costs to realistically identify corridors. This method insures that our results reflect the expenses necessary for the construction of greenways. Our study demonstrates that the kernel density method is an effective tool to illustrate priorities by revealing the potential utilisation intensity of corridors. Based on the proposed method, we identify eight potential greenway networks, each highlighting different sets of priorities. We divide these priority greenway networks into three categories of ecological security: ideal greenways, backbone greenways and the comprehensive greenway network. The latter represents the integration of animal conservation, human recreation and water protection objectives. Because priorities can be added, interchanged or weighted according to local specificities, our study offers a methodological framework applicable to developing and developed cities.

Highlights

► Multipurpose greenway is a proven strategy for sustainable urban development. ► We present an improved approach for developing comprehensive greenway networks. ► Priority networks effectively coordinate goals across different levels of management. ► Modified LCP model increases the validity of the simulation results. ► The proposed networks combine nature protection and recreation needs in Wuhan, China.

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Keywords

• Greenway;
• Multipurpose planning;
• Least-cost path model;
• Priority landscape conservation;
• Kernel density method

Figures and tables from this article:

Fig. 1. Wuhan metropolitan area and its location in China. The picture (at bottom right) illustrates how Wuhan is shaped by rivers and lakes.

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Fig. 2. (a) The ideal greenway network for conservation of birds; (b) the backbone greenway network for conservation of birds.

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Fig. 3. (a) The ideal greenway network for conservation of small mammals; (b) the backbone greenway network for conservation of small mammals.

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Fig. 4. The kernel density maps reflect potential utilisation of greenway corridors (a) kernel density of greenway for birds; (b) kernel density of greenway for small mammals; (c) kernel density of recreational corridors; and (d) kernel density of multipurpose greenway corridors.

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Fig. 5. (a) The ideal greenway network for human recreation; (b) the backbone greenway network for human recreation.

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Fig. 6. The greenway network for water protection.

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Fig. 7. Comprehensive greenway network.

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Table 1. Land cover types of our study area.

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Table 2. The cost values and weights assigned for the LCP analysis.

Weights determine the relative significance of each cost type for a same goal, while costs represent the relative cost to travel across an assigned pixel. Final cost represents the product of weight and cost. C_l indicates the relative cost of travelling through each type of land cover, C_ad represents the cost of overcoming the influences of anthropogenic disturbances and C_c is the construction cost.

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Table 3. The priority greenway system.

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