Integration of stress testing with graph theory to assess the resilience of urban road networks under seismic hazards
出版年份 2017 全文链接
标题
Integration of stress testing with graph theory to assess the resilience of urban road networks under seismic hazards
作者
关键词
Disaster resilience, Earthquake, Graph theory, Resilience assessment, Stress testing, Transportation infrastructure, Road network, Resilience
出版物
NATURAL HAZARDS
Volume 91, Issue 1, Pages 37-68
出版商
Springer Nature
发表日期
2017-11-11
DOI
10.1007/s11069-017-3112-z
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Building ex ante resilience of disaster-exposed mountain communities: Drawing insights from the Nepal earthquake recovery
- (2017) Arabinda Mishra et al. International Journal of Disaster Risk Reduction
- Scrutinizing the relationship between adaptation and resilience: Longitudinal comparative case studies across shocks in two Nepalese villages
- (2017) Phu Doma Lama et al. International Journal of Disaster Risk Reduction
- Reconnaissance based damage survey of buildings in Kathmandu valley: An aftermath of 7.8Mw, 25 April 2015 Gorkha (Nepal) earthquake
- (2016) Manjip Shakya et al. ENGINEERING FAILURE ANALYSIS
- Top-down assessment of disaster resilience: A conceptual framework using coping and adaptive capacities
- (2016) Melissa Parsons et al. International Journal of Disaster Risk Reduction
- Robustness assessment of urban rail transit based on complex network theory: A case study of the Beijing Subway
- (2015) Yuhao Yang et al. SAFETY SCIENCE
- Multilevel resilience analysis of transportation and communication networks
- (2015) Egemen K. Çetinkaya et al. TELECOMMUNICATION SYSTEMS
- Evaluating road network damage caused by natural disasters in the Czech Republic between 1997 and 2010
- (2015) Michal Bíl et al. TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
- Building type classification using spatial and landscape attributes derived from LiDAR remote sensing data
- (2014) Zhenyu Lu et al. LANDSCAPE AND URBAN PLANNING
- Network concepts to describe channel importance and change in multichannel systems: test results for the Jamuna River, Bangladesh
- (2013) Wouter A. Marra et al. EARTH SURFACE PROCESSES AND LANDFORMS
- Time-series effective habitat area (EHA) modeling using cost-benefit raster based technique
- (2013) Priyakant Sinha et al. Ecological Informatics
- Earthquake hazards and community resilience in Baluchistan
- (2012) Syed Ainuddin et al. NATURAL HAZARDS
- Elementary processes governing the evolution of road networks
- (2012) Emanuele Strano et al. Scientific Reports
- Natural hazards and resilience: exploring institutional and organizational dimensions of social resilience
- (2011) Gérard Hutter et al. NATURAL HAZARDS
- Resilience and organisational institutionalism from a cross-cultural perspective: an exploration based on urban climate change adaptation in Vietnam
- (2011) Matthias Garschagen NATURAL HAZARDS
- Lessons in risk- versus resilience-based design and management
- (2011) Jeryang Park et al. Integrated Environmental Assessment and Management
- Framework for analytical quantification of disaster resilience
- (2010) Gian Paolo Cimellaro et al. ENGINEERING STRUCTURES
- A Genetic Algorithm-Based Stress Test Requirements Generator Tool and Its Empirical Evaluation
- (2010) Vahid Garousi IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
- A kernel density estimation method for networks, its computational method and a GIS‐based tool
- (2009) Atsuyuki Okabe et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Resilience to natural hazards: a geographic perspective
- (2009) Hongjian Zhou et al. NATURAL HAZARDS
- The role of network theory and object-oriented modeling within a framework for the vulnerability analysis of critical infrastructures
- (2008) Irene Eusgeld et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started