شماره ركورد كنفرانس :
3124
عنوان مقاله :
DEVELOPING A GIS-BASED MODEL FOR ROAD BLOCKAGE ASSESSMENT
پديدآورندگان :
MANSOURI Babak نويسنده , KIANI Amir نويسنده , GOVAHI Naiemeh نويسنده
كليدواژه :
Road Blockage , Damage ratio , Debris , Earthquake Scenario , GIS
عنوان كنفرانس :
مجموعه مقالات هفتمين كنفرانس بين المللي زلزله شناسي و مهندسي زلزله
چكيده فارسي :
Road plays a significant role in evacuation in post-earthquake emergency. This study looks at the
function of road networks in post-earthquake scenarios. A methodology is developed to estimate the
possibility of road blockage after earthquakes. Factors of building damage, characteristics of the building,
and relative distance between the building and the road are taken into the estimation. This research brings
upon two novel approaches in modeling the road blockage. Firstly, the debris caused by damage to buildings
are treated separately according to different building typology (including structural type, height, age…) and
the associated proximity to the roads considering each building footprint widths. And secondly, the potential
blockage share of each building is estimated by the relative debris heap and the road width.
The methodology is implemented with the actual data of the road network in District 17 of
Municipality of Tehran. At first, the geospatial information for buildings and road inventories were compiled
and processed as to generate a geodatabase. In the next phase, ground shaking maps are produced for
scenario or actual earthquakes considered for the case studies. The third phase emphasizes on the
vulnerability modeling of the building stock. In the final phase, the estimate of the building damage is
calculated for these two earthquake scenarios. Residential building loss and the road blockage are calculated
for two important earthquake scenarios produced by North Tehran Fault (NTF) and Rey Fault (RF) for
Tehran as case study. Based on the result of implementation, up to 10 percent of the roads with width more
than 15 meter will be blocked
شماره مدرك كنفرانس :
3817028