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Spatial connectivity as a recovery process indicator: The L'Aquila earthquake

机译:空间连通性是恢复过程的指标:拉奎拉地震

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The main objective of this paper is to prove that spatial connectivity can be an effective spatial indicator for monitoring and evaluating the recovery process after the event of an earthquake. It integrates variables such as distance, travel time and quality of public transport service. We hypothesize that there is a relationship between the connectivity to the central business districts in cities, and the satisfaction with the locations of new settlements assigned to the homeless population during a recovery process. If this hypothesis holds true, then the satisfaction with new settlements will be correlated with the inhabitants' preference to either stay, or to search for a new site. This will then support the evaluation of the success of a recovery process. To prove this relationship we investigated the twelve months recovery process in L'Aquila in Italy. Spatial data sets were used and analyzed using CIS. Fieldwork data and interviews were conducted in order to investigate the satisfaction of persons living in newly established places outside of the city. We compared the strength of the desire of the interviewees to move away, against the travel distance and travel time to the city center. The statistical analysis reveals that the preference to search for another place was significantly correlated with the distance between new settlements and the city center of L'Aquila. To a lesser degree it was correlated with the travel time. The regression indicated that the distance between the new settlements and the inner city strongly influences the preference to either stay or to move.
机译:本文的主要目的是证明空间连通性可以作为监测和评估地震后恢复过程的有效空间指标。它集成了诸如距离,旅行时间和公共交通服务质量等变量。我们假设在城市中与中央商务区的连通性与在恢复过程中对分配给无家可归者的新定居点的位置的满意度之间存在关联。如果这一假设成立,那么对新住区的满意度将与居民选择留下来或寻找新地点的偏好相关。然后,这将支持对恢复过程成功与否的评估。为了证明这种关系,我们调查了意大利拉奎拉(L'Aquila)十二个月的康复过程。使用了空间数据集并使用CIS进行了分析。进行了实地调查数据和访谈,以调查居住在城市以外新设立地点的人们的满意度。我们比较了受访者远离城市中心的旅行距离和旅行时间的渴望强度。统计分析表明,寻找其他地方的偏好与新居民点和拉奎拉市中心之间的距离显着相关。在较小程度上,它与旅行时间相关。回归表明,新定居点和内城区之间的距离强烈影响人们选择居住还是搬迁。

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