Land-Use Planning for Urban Sprawl Based on the CLUE-S Model: A Case Study of Guangzhou, China

Abstract

Abstract:In recent years, changes in land use resulting from rapid urbanization or urban sprawl have brought about many negative effects to land ecosystems, and have led to entropy increases. This study introduces the novel ideas of a planning regulation coefficient for sustainable land-use planning in order to decrease entropy, combined with the CLUE-S model to predict land-use change. Three scenarios were designed as the basis for land-use projections for Guangzhou, China, in 2015, and the changes in the land ecological service function for each scenario were predicted. The results show that, although the current land-use plan is quite reasonable, it will be necessary to further strengthen the protection of farmland and important ecological service function areas.

Hydrological Responses to Land-Use Change Scenarios under Constant and Changed Climatic Conditions

“…The conversion elasticity is typically used to describe the stability of a land-use type, i.e., it measures the level of difficulty for converting one land-use type to another. The conversion elasticity values were set to 0.8, 0.6, 0.6, 0.9, 1, and 0.4 for cultivated land, forest, grassland, water, developed land, and unused land, respectively, by referring to the relevant literatures (Verburg et al 2002;Xu et al 2013a) and the actual land-use changes observed from 1986 to 2000 in the study area. The competitiveness is an iteration variable that represents the competitive advantage.…”

Detection of Land Use/Land Cover Changes and Urban Sprawl in Al-Khobar, Saudi Arabia: An Analysis of Multi-Temporal Remote Sensing Data

“…At the lowest end of the spectrum, a city remains uniform and vulnerable to change while rapid unplanned urban sprawl exceeding its maximum threshold limit creates chaos and deteriorates the quality of city transportation and utility services. Hence an organized and planned urban sprawl is essential to build a socially, economically, and environmentally sustainable society [4,5].…”

Importance of spatially distributed hydrologic variables for land use change modeling

“…Sometimes also hydrologic variables like precipitation, available water capacity (Sohl et al, 2007), evapotranspiration (Prishchepov et al, 2013), a yearly moisture index (Rutherford et al, 2007), or a wetness index (Kim et al, 2014) are used to explain land use change. However, the distance to water bodies or streams often serves as the only proxy variable for water availability (e.g., Huang and Cai, 2007;Verburg et al, 2004;Xu et al, 2013), possibly due to the ease of computation. One reason that could have led to the rare consideration of hydrologic variables might be the limited availability of such spatially distributed variables.…”