Renovation and Reconstruction of Urban Land Use by a Cost-Heuristic Genetic Algorithm: A Case in Shenzhen

IF 2.8 3区 地球科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS ISPRS International Journal of Geo-Information Pub Date : 2024-07-12 DOI:10.3390/ijgi13070250
Yufan Deng, Zhongan Tang, Baoju Liu, Yan Shi, Min Deng, Enbo Liu
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Abstract

Urban land use multi-objective optimization aims to achieve greater economic, social, and environmental benefits by the rational allocation and planning of urban land resources in space. However, not only land use reconstruction, but renovation, which has been neglected in most studies, is the main optimization direction of urban land use. Meanwhile, urban land use optimization is subject to cost constraints, so as to obtain a more practical optimization scheme. Thus, this paper evaluated the renovation and reconstruction costs of urban land use and proposed a cost-heuristic genetic algorithm (CHGA). The algorithm determined the selection probability of candidate optimization cells by considering the renovation and reconstruction costs of urban land and integrated the renovation and reconstruction costs to determine the direction of optimization so that the optimization model can more practically simulate the actual situation of urban planning. The reliability of this model was validated through its application in Shenzhen, China, demonstrating that it can reduce the cost consumption of the optimization process by 35.86% at the expense of sacrificing a small amount of economic benefits (1.18%). The balance of benefits and costs enhances the applicability of the proposed land use optimization method in mature, developed areas where it is difficult to demolish buildings that are constrained by costs.
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利用成本寻因遗传算法改造和重建城市土地利用:深圳案例
城市土地利用多目标优化旨在通过合理配置和规划城市土地空间资源,实现更大的经济、社会和环境效益。然而,城市土地利用的主要优化方向不仅是土地利用的重建,还有被大多数研究忽视的改造。同时,城市土地利用优化受到成本的制约,因此需要获得更加实用的优化方案。因此,本文对城市土地利用的翻新和重建成本进行了评估,并提出了一种成本启发式遗传算法(CHGA)。该算法通过考虑城市用地的改造和重建成本来确定候选优化单元的选择概率,并综合改造和重建成本来确定优化方向,从而使优化模型能更切实地模拟城市规划的实际情况。通过在中国深圳的应用,验证了该模型的可靠性,表明它可以在牺牲少量经济效益(1.18%)的前提下,将优化过程的成本消耗降低 35.86%。收益与成本的平衡提高了所提出的土地利用优化方法在成熟发达地区的适用性,因为在这些地区,受成本限制,很难拆除建筑物。
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来源期刊
ISPRS International Journal of Geo-Information
ISPRS International Journal of Geo-Information GEOGRAPHY, PHYSICALREMOTE SENSING&nb-REMOTE SENSING
CiteScore
6.90
自引率
11.80%
发文量
520
审稿时长
19.87 days
期刊介绍: ISPRS International Journal of Geo-Information (ISSN 2220-9964) provides an advanced forum for the science and technology of geographic information. ISPRS International Journal of Geo-Information publishes regular research papers, reviews and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. The 2018 IJGI Outstanding Reviewer Award has been launched! This award acknowledge those who have generously dedicated their time to review manuscripts submitted to IJGI. See full details at http://www.mdpi.com/journal/ijgi/awards.
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