Corrigendum to “Characterizing the “fragmentation–barrier” effect of road networks on landscape connectivity: A case study in Xishuangbanna, Southwest China” [Landscape Urban Plan. 95 (3) (2010) 122–129]

2010 ◽  
Vol 97 (4) ◽  
pp. 328 ◽  
Author(s):  
Wei Fu ◽  
Shiliang Liu ◽  
Stephen D. Degloria ◽  
Shikui Dong ◽  
Robert Beazley
Keyword(s):  
Southwest China ◽  
Landscape Connectivity ◽  
Road Networks ◽  
Barrier Effect ◽  
Urban Plan

A case study on sulfur sludge harmless treatment in southwest China

2013 ◽  
Author(s):  
Feng Ouyang ◽  
Zhijiao Chen ◽  
Mingjie Tang ◽  
Yahui Zhang
Keyword(s):  
Southwest China

scholarly journals Modeling of Emergency Supply Scheduling Problem Based on Reliability and Its Solution Algorithm under Variable Road Network after Sudden-Onset Disasters

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-15 ◽  
Author(s):  
Tinggui Chen ◽  
Shiwen Wu ◽  
Jianjun Yang ◽  
Guodong Cong ◽  
Gongfa Li
Keyword(s):  
Road Network ◽  
Road Networks ◽  
Sudden Onset ◽  
The Road ◽  
Bee Colony ◽  
Proposed Model ◽  
Effectiveness And Efficiency ◽  
In Transit ◽  
Emergency Supply

It is common that many roads in disaster areas are damaged and obstructed after sudden-onset disasters. The phenomenon often comes with escalated traffic deterioration that raises the time and cost of emergency supply scheduling. Fortunately, repairing road network will shorten the time of in-transit distribution. In this paper, according to the characteristics of emergency supplies distribution, an emergency supply scheduling model based on multiple warehouses and stricken locations is constructed to deal with the failure of part of road networks in the early postdisaster phase. The detailed process is as follows. When part of the road networks fail, we firstly determine whether to repair the damaged road networks, and then a model of reliable emergency supply scheduling based on bi-level programming is proposed. Subsequently, an improved artificial bee colony algorithm is presented to solve the problem mentioned above. Finally, through a case study, the effectiveness and efficiency of the proposed model and algorithm are verified.

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