Identification of Policies Based on Assessment-Optimization Model to Confront Vulnerable Resources System with Large Population Scale in a Big City
Bibliographic Data
| ID | 15468620 |
|---|---|
| Authors | Xueting Zeng (0000-0003-0540-5851, Capital University of Economics and Business, corresponding author), Hua Xiang (0000-0001-6570-623X, Capital University of Economics and Business), Xiang Hua (0000-0002-6308-3574, Capital University of Economics and Business), Jia Liu (0000-0002-9209-1215, Capital University of Economics and Business, corresponding author), Yong Xue (0000-0002-6376-5006, Capital University of Economics and Business), Jinxin Zhu (0000-0001-5632-4440, Sun Yat-sen University), Yuqian Xu (0000-0001-5733-0412, Capital University) |
| Year | 2021 |
| Volume | 18 |
| Issue | 24 |
| Pages | 13097-13097 |
| Publication date | 2021-12-11 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph182413097 |
| PMID | 34948707 |
| OpenAlex | W4200370258 |
| Language | EN |
| Citations received | 1 |
| References cited | 43 |
The conflict between excessive population development and vulnerable resource (including water, food, and energy resources) capacity influenced by multiple uncertainties can increase the difficulty of decision making in a big city with large population scale. In this study, an adaptive population and water-food-energy (WFE) management framework (APRF) incorporating vulnerability assessment, uncertainty analysis, and systemic optimization methods is developed for optimizing the relationship between population development and WFE management (P-WFE) under combined policies. In the APRF, the vulnerability of WFE was calculated by an entropy-based driver-pressure-state-response (E-DPSR) model to reflect the exposure, sensitivity, and adaptability caused by population growth, economic development, and resource governance. Meanwhile, a scenario-based dynamic fuzzy model with Hurwicz criterion (SDFH) is proposed for not only optimizing the relationship of P-WFE with uncertain information expressed as possibility and probability distributions, but also reflecting the risk preference of policymakers with an elected manner. The developed APRF is applied to a real case study of Beijing city, which has characteristics of a large population scale and resource deficit. The results of WFE shortages and population adjustments were obtained to identify an optimized P-WEF plan under various policies, to support the adjustment of the current policy in Beijing city. Meanwhile, the results associated with resource vulnerability and benefit analysis were analyzed for improving the robustness of policy generation
Beijing · Business · China · Computer security · Economics · Environmental economics · Environmental health · Environmental resource management · Geography · Population · Population growth · Vulnerability (computing · Child Nutrition and Water Access · Computer Science · Water resources management and optimization · Water-Energy-Food Nexus Studies
Scenario Planning
A scenario-based optimization frame to adjust current strategy for population- economy-resource-environment harmony in an urban agglomeration, China
Climate change vulnerability in the food, energy, and water nexus
Enhancing Sustainability and Resilience through Multi-Level Infrastructure Planning
The problem of the future
Quantifying urban water supply security under global change
Institutional dynamics
World population and food supply
Employment from housing
Residential building resource consumption
| Citations per year | 0.25 |
|---|---|
| Citation span | 2022 - 2022 (1) |
| Highly cited | No |