The quality of the OSM road network is analyzed in detail, which leads to the identification of two major challenges for the applicability of OSM data in routing applications: missing speed information and road classification errors. In the first part of this thesis, the OSM road network data is enhanced by improving its routability. Therefore, this thesis and the developed concept are divided into two main parts, each addressing one research goal. For this main objective, two consecutive research goals are identified: (i) improving the routability of OSM data intrinsically, and (ii) assessing critical road infrastructure in a disaster context. Therefore, the aim of this thesis is to develop a generic, multi-scale concept to assess critical road infrastructure in a disaster context using OSM data. Two main gaps in related studies are identified: the intrinsic improvement of certain aspects of OSM road data for navigational purposes, and missing approaches for the assessment of critical road infrastructure in disaster cases that can handle limited global data availability. However, the usability for routing applications is often an issue.
#Investigate the signal state of decay lifeline free#
OpenStreetMap (OSM) provides global, crowd-sourced road network data that is free and accessible for everyone. For that, global road network data, which is usable for routing applications, is required. Therefore, it is crucial to consider the functionality of critical road infrastructure before, during, and after a disaster. The frequency of natural disasters is increasing all over the world, which can cause immense damage to road infrastructure and its functionality. This review aims to provide a frame of reference for researchers and government authorities involved in postdisaster impact assessment and decision making related to road infrastructure. This paper presents a systematic review of the literature and guidelines for selecting the most appropriate method to assess impacts. Prior literature has also highlighted that the use of bottom-up models to assess socioeconomic impacts is more relevant in the aftermath of a disaster. It was determined that although a wide range of methods have been used to assess economic impacts, there is still a lack of research measuring environmental and indirect social impacts. The related methods used in the literature were analyzed based on their classifications, such as social, environmental, and economic impacts of road failure. This review provides a detailed analysis of prior literature on postdisaster impact assessments of road infrastructure. Postdisaster impact assessment is vital for the repair and reconstruction of such infrastructure, which is constrained by budget and time. Road infrastructure is a vital aspect in transportation systems and can be severely affected by disasters.
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