Table 2 Driving factors of urban land use change.

From: RETRACTED ARTICLE: Spatio-temporal analysis and simulation of urban ecological resilience in Guangzhou City based on the FLUS model

Category

Data

Weight assignment

Socioeconomic

Population

The data of the real population (permanent population + temporary population) in 2020 is used as the driving factor to calculate the population core density in the study area of Guangzhou, which is used as the driving layer

Public service facilities and commercial service facilities

Select education and training, medical care, cultural media, sports and fitness, government agencies and other categories as public service facilities POI, calculate their core density, and take it as the driving layer of public service facilities

Take finance, food, hotel, shopping, leisure and entertainment as business service facilities POI, calculate its core density, and take it as the driving layer of business service facilities

Natural condition

Altitude

The elevation is processed inversely and normalized to obtain the elevation driven layer

Slope

Assign values according to the grade of slope, and then conduct normalization to obtain the slope driving layer

Rivers

The distance layer from each grid to the nearby river system is established through European distance calculation, and then normalized to obtain the driving layer

Traffic conditions

Highway

Get the driving layer through the linear density analysis

Urban Rd

Transportation facilities station

Calculate the core density of POI at the transportation facility site to obtain the driving layer

Planning factors

Ecological protection red line of permanent basic farmland

The area within the ecological protection red line and the permanent basic farmland protection area are prohibited from construction, and the constraints that construction land cannot be converted into water areas and wetlands are set

Innovative factors

Ecological protection red line of permanent basic farmland

Extract relevant planned manufacturing innovation centers and major industrial platforms from the “Fourteenth Five Year Plan” for the Development of Strategic Emerging Industries in Guangzhou, calculate the distance layer from the grid of the research area to the planning innovation center and the major industrial platforms, and obtain the driving layer through normalization