Yong-Jun Lin

Dr. Yong-Jun Lin

Center for Weather Climate and Disaster Research, Taipei, Taiwan
orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2012 in Engineering Applications of Artificial Intelligence
Verified
Journal Article
Closed access
YLYong-Huang Lin
Yong-Huang Lin
CCChih-Chiang Chiu
Chih-Chiang Chiu
PLPin-Chan Lee
Pin-Chan Lee
Yong-Jun LinYong-Jun Lin
Yong-Jun Lin

BLBeckham Shih-Ming Lin
Beckham Shih-Ming Lin
CLChing-Yuan Lin
Ching-Yuan Lin
CKChun-Wei Kung
Chun-Wei Kung
Yong-Jun LinYong-Jun Lin
Yong-Jun Lin
CCChung-Chyi Chou
Chung-Chyi Chou
Gary Li-Kai HsiaoGary Li-Kai Hsiao
Gary Li-Kai Hsiao
Firefighters searching in dark and complex environments might lose their orientation and endanger themselves at the fireground. This study conducted experiments in the Training Facility of the New Taipei City Fire Department (NTFD), Taiwan. The objective of the experiments was to analyze the profile of each firefighter by a 13-factor self-report survey and their wayfinding time in dark and complex environments (DCEs). The results showed that age might be a marginally significant factor, and fear of confinement might be a significant factor that could affect firefighters’ wayfinding time in the DCEs. The findings could provide strategies for improving the safety of firefighters working in such environments.

KKKai-Yuan Ke
Kai-Yuan Ke
Yong-Jun LinYong-Jun Lin
Yong-Jun Lin
YTYih-Chi Tan
Yih-Chi Tan
TPTsung-Yi Pan
Tsung-Yi Pan
LTLi-Li Tai
Li-Li Tai
CLChing-An Lee
Ching-An Lee
Large-scaled disaster events had increasingly occurred worldwide due to global and environmental change. Evidently, disaster response cannot rely merely on the public force. In the golden hour of crisis, not only the individuals should learn to react, protect themselves, and try to help each other, but also the local school, enterprise, non-government organization (NGO), nonprofit organization (NPO), and volunteer groups should collaborate to effectively deal with disaster events. New Taipei City (NTPC), Taiwan, was aware of the need for non-public force response and therefore developed the process of enhancing local disaster management networks through promoting the resilient community since 2009. The concept of a resilient community is to build community-based capacity for mitigation, preparedness, response, and recovery in an all-hazards manner. This study organized the NTPC experience and presented the standard operation procedure (SOP) to promote the resilient community, key obstacles, maintenance mechanism, and the successful formulation of the local disaster management network. The performance of the promotion was evaluated through a questionnaire survey and found that participants affirmed the positive effect of building community capacity through the entire process. In general, the resilient community as the center of the local disaster management work is shown promising to holistically bridge the inner/outer resources and systematically respond to disaster events.

13 August 2021 in Water
Verified
Journal Article
Open access
PDF file
WSWen-Ray Su
Wen-Ray Su
Yong-Jun LinYong-Jun Lin
Yong-Jun Lin
CHChun-Hung Huang
Chun-Hung Huang
CYChun-Hung Yang
Chun-Hung Yang
YTYuan-Fan Tsai
Yuan-Fan Tsai
Wargames have been promoted by local governments in Taiwan since 2009, as they require far fewer resources than full-scale exercises. Previously, wargame scenarios were divulged before their launch, enabling participants to formulate response plans in advance, which made them ineffective. Currently, wargames in which scenarios are not shared in advance require a common platform for debriefing players regarding their planned actions. Owing to its geographical location, Taiwan is prone to significant flooding disasters. To assist in making countermeasures, we created a 3D GIS-based Flood Wargame Assistance Platform (FWGAP) for conducting rapid spatial analyses. Flooded areas are estimated in the FWGAP in three ways: (1) using a digital terrain model (DTM) with designated flood center and depth; (2) applying historical flooding spots; and (3) potential flooding maps. A FWGAP can estimate affected and vulnerable populations and has functions for locating resources such as shelters and hospitals near the flooded areas. Its integrated use of closed-circuit televisions, Google Street View maps, and 3D buildings to display flooded areas realistically ensures greater fidelity. This study reports on the city- and the district-level applications of the FWGAP. The results of the survey undertaken indicates that 56% of the participants agreed that the FWGAP enables disaster relief resources to be located on a GIS map. About half of the participants believed that a no-script flooding wargame using a FWGAP could help to identify problems in standard operation procedures and promote greater horizontal coordination among departments.

6 December 2017 in Hydrological Sciences Journal
Verified
Journal Article
Closed access
HCHsiang-Kuan Chang
Hsiang-Kuan Chang
Yong-Jun LinYong-Jun Lin
Yong-Jun Lin
JLJihn-Sung Lai
Jihn-Sung Lai
A wireless water-level monitoring system for an urban drainage flood warning is developed, and stations equipped with pressure sensors are installed to monitor water levels. The water levels for flood warning are investigated. Two stages of warning water level for “larger” conduits are set based on the rate of rising water levels. In a similar way, only one stage of the warning water level is set for “smaller” conduits. The average rates of rising water levels for different scenarios are estimated using the US EPA Storm Water Management Model (SWMM). When evaluating the impact of flooding, the outflows from manholes simulated by the SWMM are used as sources for a two-dimensional overland flow simulation. The integrated system is successfully executed in Jhonghe, New Taipei City, Taiwan, which has experienced urban drainage floods. Therefore, this system can provide urban drainage flood warnings to the authorities to take disaster reduction measures.

15 May 2023 in Sustainability
Verified
Journal Article
Open access
PDF file
BCBang-Lee Chang
Bang-Lee Chang
HCHsiao-Tung Chang
Hsiao-Tung Chang
BLBeckham Shih-Ming Lin
Beckham Shih-Ming Lin
Gary Li-Kai HsiaoGary Li-Kai Hsiao
Gary Li-Kai Hsiao
Yong-Jun LinYong-Jun Lin
Yong-Jun Lin
People tend to take their spatial cognition and wayfinding behaviors for granted while moving about in familiar spaces or traversing regular routes (e.g., the way to work). However, when an emergency occurs, even if people evacuate from a familiar venue, they are still likely to experience unexpected and irreparable tragedy. This study conducted an on-site experiment and a survey investigation. First-person view (FPV) floor plans were adopted to develop a relevant experiment, which was then used to investigate the relationship between wayfinding behavior and two influencing factors: floor plan cognition and distance. The t-tests for the accompanying questionnaire indicated that women (31%) are better than men (5.3%) in legend recognition and men (25.5%) outperform women (7.1%) in orientation; both findings achieved significance and are consistent with the results of previous studies conducted by neuroscientists. One-way ANOVA showed that when participants read a floor plan that was difficult to understand (not FPV), they took considerably more time (153.82 s) to reach the closer staircase than those who read a floor plan that was easy to understand and headed to the farther staircase (113.40 s). The understandability of floor plans is key to affecting the public’s evacuation time.