Multi-Scenario Simulation of Urban–Rural Land Use Spatial Reconstruction in Highly Urbanized Areas: A Case Study from the Southern Jiangsu Region

China’s rural population flowing into highly urbanized areas has led to the spatial reconstruction of urban–rural land use. Exploring the laws and trends of urban–rural land use in highly urbanized areas is of great significance in promoting rural transformation. This paper takes the southern Jiangs...

Full description

Saved in:
Bibliographic Details
Main Authors: Changjun Jiang, Huiguang Chen
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Land
Subjects:
Online Access:https://www.mdpi.com/2073-445X/13/12/2199
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850241265408409600
author Changjun Jiang
Huiguang Chen
author_facet Changjun Jiang
Huiguang Chen
author_sort Changjun Jiang
collection DOAJ
description China’s rural population flowing into highly urbanized areas has led to the spatial reconstruction of urban–rural land use. Exploring the laws and trends of urban–rural land use in highly urbanized areas is of great significance in promoting rural transformation. This paper takes the southern Jiangsu region as a research area and uses a system dynamics (SD) model to simulate the demand for different land types based on economic, social, policy, and environmental (ESPE) factors. Future land use simulation (FLUS) is used to simulate the spatial evolution trend of urban–rural land use based on point–axis elements. The results show that the agricultural production space is severely squeezed by the urban living space. Under the scenario of rapid expansion, the decrease in arable land quantity and the demand area for rural residential areas are the largest. Under the scenario of high-quality development, the decrease in arable land area and the demand for land in rural residential areas are lowest. Based on the spatial simulation, it is reported that the areas with more intense land use spatial reconstruction in the three scenarios are mainly concentrated in the region’s urban–rural border areas. The future evolution of urban–rural land is summarized into three models: (1) single-center-driving expansion, (2) patchy expansion near the city center, and (3) multi-center-driving expansion. This paper proposes targeted policy recommendations to provide a scientific reference for solving the conflict between urban and rural land use.
format Article
id doaj-art-6aacb766e71b4353b30e43f899ad114e
institution OA Journals
issn 2073-445X
language English
publishDate 2024-12-01
publisher MDPI AG
record_format Article
series Land
spelling doaj-art-6aacb766e71b4353b30e43f899ad114e2025-08-20T02:00:39ZengMDPI AGLand2073-445X2024-12-011312219910.3390/land13122199Multi-Scenario Simulation of Urban–Rural Land Use Spatial Reconstruction in Highly Urbanized Areas: A Case Study from the Southern Jiangsu RegionChangjun Jiang0Huiguang Chen1College of Public Administration, Nanjing Agricultural University, Nanjing 210095, ChinaCollege of Public Administration, Nanjing Agricultural University, Nanjing 210095, ChinaChina’s rural population flowing into highly urbanized areas has led to the spatial reconstruction of urban–rural land use. Exploring the laws and trends of urban–rural land use in highly urbanized areas is of great significance in promoting rural transformation. This paper takes the southern Jiangsu region as a research area and uses a system dynamics (SD) model to simulate the demand for different land types based on economic, social, policy, and environmental (ESPE) factors. Future land use simulation (FLUS) is used to simulate the spatial evolution trend of urban–rural land use based on point–axis elements. The results show that the agricultural production space is severely squeezed by the urban living space. Under the scenario of rapid expansion, the decrease in arable land quantity and the demand area for rural residential areas are the largest. Under the scenario of high-quality development, the decrease in arable land area and the demand for land in rural residential areas are lowest. Based on the spatial simulation, it is reported that the areas with more intense land use spatial reconstruction in the three scenarios are mainly concentrated in the region’s urban–rural border areas. The future evolution of urban–rural land is summarized into three models: (1) single-center-driving expansion, (2) patchy expansion near the city center, and (3) multi-center-driving expansion. This paper proposes targeted policy recommendations to provide a scientific reference for solving the conflict between urban and rural land use.https://www.mdpi.com/2073-445X/13/12/2199urban–rural land usespatial reconstructionmulti-scenario simulationSD-FLUS modelESPE factors
spellingShingle Changjun Jiang
Huiguang Chen
Multi-Scenario Simulation of Urban–Rural Land Use Spatial Reconstruction in Highly Urbanized Areas: A Case Study from the Southern Jiangsu Region
Land
urban–rural land use
spatial reconstruction
multi-scenario simulation
SD-FLUS model
ESPE factors
title Multi-Scenario Simulation of Urban–Rural Land Use Spatial Reconstruction in Highly Urbanized Areas: A Case Study from the Southern Jiangsu Region
title_full Multi-Scenario Simulation of Urban–Rural Land Use Spatial Reconstruction in Highly Urbanized Areas: A Case Study from the Southern Jiangsu Region
title_fullStr Multi-Scenario Simulation of Urban–Rural Land Use Spatial Reconstruction in Highly Urbanized Areas: A Case Study from the Southern Jiangsu Region
title_full_unstemmed Multi-Scenario Simulation of Urban–Rural Land Use Spatial Reconstruction in Highly Urbanized Areas: A Case Study from the Southern Jiangsu Region
title_short Multi-Scenario Simulation of Urban–Rural Land Use Spatial Reconstruction in Highly Urbanized Areas: A Case Study from the Southern Jiangsu Region
title_sort multi scenario simulation of urban rural land use spatial reconstruction in highly urbanized areas a case study from the southern jiangsu region
topic urban–rural land use
spatial reconstruction
multi-scenario simulation
SD-FLUS model
ESPE factors
url https://www.mdpi.com/2073-445X/13/12/2199
work_keys_str_mv AT changjunjiang multiscenariosimulationofurbanrurallandusespatialreconstructioninhighlyurbanizedareasacasestudyfromthesouthernjiangsuregion
AT huiguangchen multiscenariosimulationofurbanrurallandusespatialreconstructioninhighlyurbanizedareasacasestudyfromthesouthernjiangsuregion