Routing calculation has an important role to play in emergency responses and decisions. For example, it can help ambulances to take one patient to the hospital as fast as possible. This paper presents the implementation of an alternative method to calculate the travel-time of the route, according to the location of an accident and the situation at the destination point. The minimum travel-time from the accident point to the nearest hospital is calculated and some others parameters are taken into account such as the availability of beds in the targeted hospital and the patient's state. The method is based on an adaptation of the pgRouting algorithm with an analytical hierarchy process (AHP) for the Emergency Route Decision Planning (ERDP). First, a weighted travel-time model was built based on a minimum timeconsumption criteria, with the consideration of three impedance factors that are influencing the ERDP. Then, AHP was used to calculate priority weights of the impedance factors and taken into account for every parameter which is related to the travel-time consumption. Further, a new and improved routing algorithm was implemented using and extending pgRouting to obtain the weighted travel-time according to the situation of the destination point. The integration of AHP and pgRouting constitu tes a powerful tool for analysing both road conditions and the conditions at the destination point. It can be used for evacuation planning after natural disasters.

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We have developed a series of Visual Basic Program Terramod for modeling and visualizing of geologic surfaces based on irregularly distributed field observation including equality-inequality elevation data and strike-dip data. The current version applies an algorithm of Horizon2000 (Shiono et al., 2001) to determine the optimal surfaces, in which the surface is approximated by a set of values at grid points. This version has the same disadvantages as Horizon2000; it is hard to generate quickly a large sized DEM. We revised the program by applying an algorithm of BS-Horizon (Nonogaki et al., 2008) instead of Horizon2000. As the surface is processed in a form of a bi-cubic B-spline function, we can generate easily a high resolution DEM over a wide area under Windows environment. This paper describes how to use the

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