A spatial accessibility assessment of urban tourist attractions emergency response in Shanghai

Shi, Yong; Qian, Yao; Wen, Jiahong; Xi, Jianchao; Li, Hai; Wang, Qingwei

doi:10.1016/j.ijdrr.2022.102919

Cited by 21 publications

(14 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, as the precipitation return periods increased, both the number and delay time of delayed rescues for kindergartens and nursing homes also increased. (5) The accessibility of the emergency medical services in kindergartens and nursing homes under pluvial flooding scenarios in the Erqi District of Zhengzhou City was related to the distribution of medical institutions, topographic factors, traffic accessibility, and their own location.…”

Section: Discussionmentioning

confidence: 99%

“…4 Medical institutions, kindergartens, and nursing homes located in low-lying areas with water accumulation should be relocated to reduce the risk of flooding. 5 Measures should be taken to improve the accuracy of real-time forecasting of urban pluvial flooding, optimize the navigation system of emergency medical ambulance vehicles, and accurately capture real-time traffic status and road water information to minimize rescue delays.…”

Section: Discussionmentioning

confidence: 99%

“…For example, the urban waterlogging caused by the rainstorm in Beijing on 21 July 2012, the extreme rainstorm in Wuhan on 6 July 2016, the heavy rainstorm in Guangzhou on 22 May 2020, and the pluvial flooding in Zhengzhou on 20 July 2021 not only resulted in serious casualties and economic losses, but also caused traffic disruption, affected urban road accessibility, and disrupted the normal travel of urban residents. More importantly, the efficiency of emergency services for key public service facilities such as medical aid, public security, and firefighting may be reduced or even paralyzed [5][6][7]. Therefore, under the background of the increasing risk of urban pluvial flooding, effectively improving the emergency response capacity of key public service facilities in cities and minimizing the impact of flood disasters on the economy and society has become a crucial issue that people are highly concerned about and urgently needs to be addressed by all sectors.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Study on the Accessibility of the Emergency Medical Services for Urban Kindergartens and Nursing Homes Based on Urban Pluvial Flooding Scenarios

et al. 2023

View full text Add to dashboard Cite

Vulnerable groups such as children and the elderly are the focus of emergency medical rescue during urban pluvial floods. Taking the Erqi District of Zhengzhou City as an example, the SCS-CN model and Chicago rainfall model are used to simulate pluvial flooding based on the comprehensive consideration of urban rainfall, runoff, topography, and drainage. Additionally, the accessibility of emergency medical aid for kindergartens and nursing homes is evaluated in the Erqi District of Zhengzhou under different pluvial flooding scenarios using GIS network analysis technology. The results showed that the number of kindergartens and nursing homes without timely access to emergency medical rescue increased with the increase in precipitation return periods. Under the 500-year and 1000-year pluvial flooding scenarios, kindergartens and nursing homes that can obtain emergency medical rescue had delayed response times. Furthermore, with the increase in the precipitation return periods, both the number and delay time of kindergartens and nursing homes significantly increased. The accessibility and delay time of emergency medical rescue in kindergartens and nursing homes were determined by the intensity of pluvial flooding (including inundation area and depth), road traffic conditions, and the number and location of medical institutions, nursing homes, and kindergartens. The research results can provide a scientific basis for improving the refinement level of urban flood disaster management and emergency response services.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Study on the Accessibility of the Emergency Medical Services for Urban Kindergartens and Nursing Homes Based on Urban Pluvial Flooding Scenarios

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Effective flood forecasting methods contribute to flood control and disaster emergency management [1]. From the perspective of data analysis, flood forecasting based on data-driven models is essentially time-series data prediction [2].…”

Section: Introductionmentioning

confidence: 99%

Data-Driven and Knowledge-Guided Heterogeneous Graphs and Temporal Convolution Networks for Flood Forecasting

Shao

Jun

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

Data-driven models have been successfully applied to flood prediction. However, the nonlinearity and uncertainty of the prediction process and the possible noise or outliers in the data set will lead to incorrect results. In addition, data-driven models are only trained from available datasets and do not involve scientific principles or laws during the model training process, which may lead to predictions that do not conform to physical laws. To this end, we propose a flood prediction method based on data-driven and knowledge-guided heterogeneous graphs and temporal convolutional networks (DK-HTAN). In the data preprocessing stage, a low-rank approximate decomposition algorithm based on a time tensor was designed to interpolate the input data. Adding an attention mechanism to the heterogeneous graph module is beneficial for introducing prior knowledge. A self-attention mechanism with temporal convolutional network was introduced to dynamically calculate spatiotemporal correlation characteristics of flood data. Finally, we propose physical mechanism constraints for flood processes, adjusted and optimized data-driven models, corrected predictions that did not conform to physical mechanisms, and quantified the uncertainty of predictions. The experimental results on the Qijiang River Basin dataset show that the model has good predictive performance in terms of interval prediction index (PI), RMSE, and MAPE.

show abstract

“…Researchers have begun to study the emergency response capacity of public service facilities under flood conditions by combining flood numerical simulation with GIS analysis technology. Shi et al [ 12 ] and Coles et al [ 13 ] pointed out that under the flood scenario, some road networks become paralyzed, traffic is interrupted and emergency vehicles cannot pass, resulting in the scope of emergency medical service space being significantly less than usual. Green et al [ 14 ] showed that the impact of pluvial flooding on urban emergency response accessibility was more severe than that of river floods on the same scale.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Emergency Response Capacity of Urban Pluvial Flooding Public Service Based on Scenario Simulation

Zhang

Kong

et al. 2022

IJERPH

View full text Add to dashboard Cite

The evaluation of emergency response capability under different pluvial flooding scenarios is an essential approach to improve the emergency response capability of flood disasters. A new evaluation method of emergency response capacity of urban public services is proposed based on urban pluvial flooding scenario simulation. Firstly, inundation area and depth under different pluvial flooding scenarios are simulated based on the SCS-CN model. Following that, space densities of all indicators include inundation area and depth, road network and the emergency public service institutions. Then, the indicator weight is determined by the combined weighting method of entropy weight and coefficient of variation. Finally, the emergency response capacity index (of each pixel) is calculated based on the graph stacking method. Taking Erqi District, Zhengzhou City as an example, the emergency response capacity of public service under different urban flooding scenarios is evaluated. The results show that the spatial distribution difference of public service emergency response capacity in Erqi District, Zhengzhou City is obvious, and with the increase of the precipitation return period, the high value area of public service emergency response capability decreases gradually and the low value area increases gradually. This method takes into account the specific urban flooding scenario and the layout of public service institutions and road networks that have strong practicability. the results of the evaluation can provide a reference for the construction of urban flood emergency response capacity and provide support for emergency decision-making.

show abstract

A spatial accessibility assessment of urban tourist attractions emergency response in Shanghai

Cited by 21 publications

References 35 publications

A Study on the Accessibility of the Emergency Medical Services for Urban Kindergartens and Nursing Homes Based on Urban Pluvial Flooding Scenarios

A Study on the Accessibility of the Emergency Medical Services for Urban Kindergartens and Nursing Homes Based on Urban Pluvial Flooding Scenarios

Data-Driven and Knowledge-Guided Heterogeneous Graphs and Temporal Convolution Networks for Flood Forecasting

Evaluation of Emergency Response Capacity of Urban Pluvial Flooding Public Service Based on Scenario Simulation

Contact Info

Product

Resources

About