A hybrid mathematical model for urban land-use planning in association with environmental–ecological consideration under uncertainty. Issue 1 (January 2017)
- Record Type:
- Journal Article
- Title:
- A hybrid mathematical model for urban land-use planning in association with environmental–ecological consideration under uncertainty. Issue 1 (January 2017)
- Main Title:
- A hybrid mathematical model for urban land-use planning in association with environmental–ecological consideration under uncertainty
- Authors:
- Tan, Shukui
Zhang, Lu
Zhou, Min
Li, Yanan
Wang, Siliang
Kuang, Bing
Luo, Xiang - Abstract:
- Various uncertainties exist in most urban land-use allocation systems; however, they have not been considered in most traditional urban land-use allocation methods. In this study, an interval-probabilistic urban land-use allocation model is developed based on a hybrid interval-probabilistic programming method. The developed interval-probabilistic urban land-use allocation model can deal with uncertainties expressed as intervals and probability distributions; moreover, it can also help examine the reliability of satisfying (or risk of violating) system constraints under uncertainty; the interval-probabilistic urban land-use allocation model not only considers economic factors, but also involves environmental and ecological constraints, which can effectively reflect various interrelations among different aspects in the urban land-use system. The developed model is applied to a case of long-term land-use allocation planning in the city of Wuhan, China. Interval solutions associated with different risk levels of constraint violation are obtained. The desired system benefit from the land-use system will be between $ [1781.921, 2290.970] × 10 9 under the minimum violating probabilities, and in this condition, the optimized areas of industrial land, commercial land and landfill will be [35, 739, 42, 402] ha, [58, 572, 62, 450] ha, and [903, 1087] ha. Results provide the decision makers of Wuhan with desired land-use allocation patterns and environmental policies, which are relatedVarious uncertainties exist in most urban land-use allocation systems; however, they have not been considered in most traditional urban land-use allocation methods. In this study, an interval-probabilistic urban land-use allocation model is developed based on a hybrid interval-probabilistic programming method. The developed interval-probabilistic urban land-use allocation model can deal with uncertainties expressed as intervals and probability distributions; moreover, it can also help examine the reliability of satisfying (or risk of violating) system constraints under uncertainty; the interval-probabilistic urban land-use allocation model not only considers economic factors, but also involves environmental and ecological constraints, which can effectively reflect various interrelations among different aspects in the urban land-use system. The developed model is applied to a case of long-term land-use allocation planning in the city of Wuhan, China. Interval solutions associated with different risk levels of constraint violation are obtained. The desired system benefit from the land-use system will be between $ [1781.921, 2290.970] × 10 9 under the minimum violating probabilities, and in this condition, the optimized areas of industrial land, commercial land and landfill will be [35, 739, 42, 402] ha, [58, 572, 62, 450] ha, and [903, 1087] ha. Results provide the decision makers of Wuhan with desired land-use allocation patterns and environmental policies, which are related to a variety of trade-offs between system benefit and constraint-violation risk. Willingness to accept low benefit from land-use system will guarantee meeting the environmental protection objective. A strong desire to acquire high system benefit will run into the risk of violating environmental constraint. … (more)
- Is Part Of:
- Environment & planning. Volume 44:Issue 1(2017)
- Journal:
- Environment & planning
- Issue:
- Volume 44:Issue 1(2017)
- Issue Display:
- Volume 44, Issue 1 (2017)
- Year:
- 2017
- Volume:
- 44
- Issue:
- 1
- Issue Sort Value:
- 2017-0044-0001-0000
- Page Start:
- 54
- Page End:
- 79
- Publication Date:
- 2017-01
- Subjects:
- Uncertainty -- urban land-use allocation -- hybrid interval-probabilistic programming -- environment -- ecosystem
City planning -- Periodicals
Urban ecology (Sociology) -- Periodicals
307.11605 - Journal URLs:
- http://journals.sagepub.com/toc/epbb/current ↗
http://www.uk.sagepub.com/home.nav ↗ - DOI:
- 10.1177/0265813515608641 ↗
- Languages:
- English
- ISSNs:
- 2399-8083
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 7505.xml