Redefining cities in view of climatic changes “sponge city” – examples of solutions in Chinese cities at risk of flooding – Wuhan, Changde and Jinhua

Maciejewska, Eliza

doi:10.22630/aspa.2020.19.1.2

Cited by 3 publications

(1 citation statement)

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“…is provides the basis for the analysis of urban water resources, water environment, water safety monitoring, and effect assessment. To manage sponge cities in a more fine and dynamic manner, eliminate the information between departmental information that cannot be shared and communicated and avoid retries in construction management to improve sponge city construction and management efficiency [23]. Compared with traditional sponge cities, the wisdom sponge city has the following features, as shown in Table 4.…”

Section: Intelligent Urban Management Modementioning

confidence: 99%

Artificial Intelligence Sponge City Wisdom Management Model

Nie

Fang

2022

Security and Communication Networks

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Sponge city is currently a new urban rain flood management concept. It refers to the natural disaster that adapts to environmental changes and the natural disasters that is brought by rainwater. It is also known as the sponge, and the alias can also be called as “water elastic city.” The purpose of this article is, based on artificial intelligence, to study the analysis of wisdom management models in sponges. This paper first introduces the artificial intelligence algorithm and sponge city, then compares the traditional sponge city and the wisdom sponge city, then creates a LSTM neural network model, introducing artificial intelligence into sponge city intelligent dynamics in the analysis, and finally compares the rainfall data analysis to the ground. The experimental results show that, at different time points, the training results of rainfall data have shown significant regularity. The entire rainfall process exhibits a rise-decline-rise-increase trend of repetition. The maximum rainfall appeared at the 18th hour, and 7 obvious peaks occurred in 7, 11, 14, 16, 18, 21, and 23 hours.

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Section: Intelligent Urban Management Modementioning

confidence: 99%

Artificial Intelligence Sponge City Wisdom Management Model

Nie

Fang

2022

Security and Communication Networks

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Permeable Pavement Systems: Sustainable Case Studies

Qamhia,

Al-Qadi,

Ozer

et al. 2024

RILEM Bookseries

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Residents’ Preferences on Green Infrastructure in Wuhan, China

Lu,

Tanaka,

Shen

2024

Sustainability

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Green infrastructure (GI) provides considerable benefits, including stormwater runoff management, biodiversity conservation, and urban sustainability promotion, and thus has garnered widespread attention. However, the limited research on residents’ preferences for GI constrains further promotion in China. To address this issue, data were collected from 436 residents in Wuhan, China, through an online survey. This study employed a comprehensive analytical framework that integrates best–worst scaling (BWS) with the contingent valuation method (CVM) to assess the preferences of residents in Wuhan, China, for six types of GI and estimate their willingness to pay (WTP) for GI enhancements. The conditional model and mixed logit model results indicated that residents preferred GI facilities that offer direct benefits, such as street trees and permeable pavements, and showed a lower preference for structures less suited to a Chinese context, such as eco-roofs. Regarding heterogeneity, only permeable pavements showed significant variation in preferences. Furthermore, the average WTP for GI enhancement was 142.28 RMB/household/year. Factors including familiarity with GI, information sources, and air quality improvement perceptions positively influenced the WTP, while low income negatively impacted the WTP. These findings offer insights for urban planners to develop effective policies to enhance public support for GI and promote urban sustainability.

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Redefining cities in view of climatic changes “sponge city” – examples of solutions in Chinese cities at risk of flooding – Wuhan, Changde and Jinhua

Abstract:

Cited by 3 publications

References 0 publications

Artificial Intelligence Sponge City Wisdom Management Model

Artificial Intelligence Sponge City Wisdom Management Model

Permeable Pavement Systems: Sustainable Case Studies

Residents’ Preferences on Green Infrastructure in Wuhan, China

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