Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Designing a spatial planning support system for rapid building damage survey after an earthquake: The case of Bogota D.C., Colombia

Contreras Mojica, Diana, Flacke, Johannes and van Westen, Cees 2009. Designing a spatial planning support system for rapid building damage survey after an earthquake: The case of Bogota D.C., Colombia. Presented at: Urban and Regional Information System Association Annual Conference 2009 (URISA), Anaheim, CA, USA, 29 September - 02 October 2009. Annual Conference of the Urban and Regional Information Systems Association 2009 (URISA 2009). URISA, pp. 524-569.

[thumbnail of Contreras_2009_URISA_Designing a SPSS for rapid building damage survey after an earthquake.pdf] PDF - Accepted Post-Print Version
Download (15MB)


Damage assessment determines the safe condition of houses and buildings that were affected by a disaster. These elements must be inspected to determine if they can be occupied by people. The objective of the present research is to design a model for the planning of a rapid building damage survey after an earthquake and manage the spatial information collected. The model is built on three sub-models aiming to estimate the number of trained people required, their spatial allocation and the right information flow. The combination of cadastral data and organizational issues will be the input, to estimate the number of trained people required. To allocate the trained people, five methods were applied: average number of parcels or blocks, euclidean allocation, multiple-ring buffer, network analysis (service area), and route allocation. All the data required to respond in an emergency must be collected, updated and shared in order to have informed decisions. The results show wide ranges of values that can be utilized in the preparedness or in the response phase; the allocation methods can be used according to the data that every city has, but the highest level of accuracy comes from the route allocation method. The data must be available, updated and accessible to all the entities involved in the emergency response task, due to these reasons the research recommends the implementation of a Spatial Data Infrastructure (SDI) to manage the information and to predefine the meeting points to compile the collected information by using methods as mean center.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Earth and Environmental Sciences
Subjects: G Geography. Anthropology. Recreation > G Geography (General)
G Geography. Anthropology. Recreation > GB Physical geography
G Geography. Anthropology. Recreation > GE Environmental Sciences
H Social Sciences > H Social Sciences (General)
L Education > L Education (General)
Publisher: URISA
ISBN: 9781617821738
Funders: ‘Österreichische Forschungsgemeinschaft (ÖFG) Grant’ (translated name: Austrian Research Association)
Related URLs:
Date of First Compliant Deposit: 28 September 2021
Date of Acceptance: 15 August 2009
Last Modified: 28 Sep 2021 16:00

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics