Integrated Planning for Regional Development Planning with Low Carbon Development Constraint under Uncertainty: A Case Study of Qingpu District, Shanghai

Wentao Lu, Zhenghui Fu, Yang Zhang, Yuxuan Qiao, Lei Yu and Yi Liu
Additional contact information
Wentao Lu: School of Environment, Tsinghua University, Beijing 100084, China
Zhenghui Fu: Chinese Research Academy of Environmental Sciences, Beijing 100012, China
Yang Zhang: College of Environmental Science and Engineering, Peking University, Beijing 100871, China
Yuxuan Qiao: School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China
Lei Yu: Institute of Strategic Planning, Chinese Academy of Environmental Planning, Beijing 100012, China
Yi Liu: School of Environment, Tsinghua University, Beijing 100084, China

Sustainability, 2021, vol. 13, issue 19, 1-24

Abstract: Regional development planning systems contain multiple uncertainties which come from economic restructuring, resource management, carbon peak action, environmental protection, and other factors, it is difficulty to handle all of these uncertainties in one method. In order to solve this problem, a new model developed in this study combines an interval fuzzy program with an environmental quality model for regional development planning in order to provide optimal solutions. The interval fuzzy program is put forward based on interval parameter programming (IPP) and fuzzy programing (FP). The environmental quality model is used to calculate water environmental capacity and atmospheric capacity, which are set as constraint conditions in the model. In order to meet the requirements of carbon peak action, a low carbon development constraint is added to the model. In this model, decision makers can choose the satisfaction level of constraints based on their preferences. The results suggest that the methodology is applicable for the regional development planning system within the planning period. The developed model can be used to generate a series of optimization schema under multiple credibility levels, ensuring that the regional development planning system can meet both societal demands and environmental quality requirements, considering a proper balance between the expected system benefits and risks of violating the resource constraint and low carbon development constraint.

Keywords: fuzzy programming; environmental quality model; regional development planning; uncertainty (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/13/19/10511/pdf (application/pdf)
https://www.mdpi.com/2071-1050/13/19/10511/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:13:y:2021:i:19:p:10511-:d:640540

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().