Modelling urban mixed land-use prediction using influence parameters

Abstract

Mixed land-use is a popular concept in urban planning due to its expected role in improving environmental sustainability as well as citizen’s quality of life. Land use planning and regulations are not stringent in many cities like those in India, and policies are liberal towards mixed land uses. In these cities, mixed land-uses are a natural phenomenon manifesting under various influencing parameters. However, for studies on mixed land-uses, these cities pose data insufficiency challenges, as vital comprehensive spatial information related to land-uses is not available. Moreover, there is no standardised methodology established to assess the spatial distribution of mixed land-uses at the city level. This research has developed a GIS-based model using Weighted Overlay Analysis to predict and visualise the probability of mixed land-use at the macro or city level for the case of Pune, India. The model uses the easily available spatial data of influencing parameters of mixed land-use as input for prediction instead of comprehensive real land-use data. The model is validated by comparing the predicted mixed land-use intensities with established indicators of mixed land-use for four neighbourhoods. It is found that parameters that influence mixed land-use such as connectivity, grain pattern, population density and access to amenities can be used to predict the probability of mixed land-use. Around 35 per cent of the city area of Pune has more than 0.67 probability of mixed land-use. The model can produce the probable mixed land-use distribution across the city and can be used to compute mixed land-use intensities for neighbourhoods. Highlights for public administration, management and planning: • Mixed land-use probability distribution for Pune City, India is generated using Weighted Overlay Analysis in GIS. • As vital spatial data of land-use was unavailable, the prediction model uses data of influencing parameters of mixed land-uses such as population density, connectivity, grain pattern and access to amenities. • The mixed land-use probabilities predicted can be used to compute mixed land-use intensities of neighbourhoods. It is validated by comparing with traditional mixed land-use indicators.

Exploring Non-Linear and Synergistic Effects of Street Environment on the Spirit of Place in Historic Districts: Using Multi-Source Data and XGBoost

“…This suggests that enhancing MLU may not directly influence spiritual perception, but does so indirectly through mediating factors, aligning with Fang et al s findings. MLU influences spiritual perception through functional attractiveness, traffic accessibility and social group tolerance [88], promoting social interaction and cohesion [92,93] and increasing the potential for interaction with others. Communication is an essential way of generating place identity.…”

Mixed Land Use and Its Relationship with CO2 Emissions: A Comparative Analysis Based on Several Typical Development Zones in Shanghai

“…The specific calculation steps are as follows: (1) at the cellular grid scale, the calculation results of diversity, accessibility, compatibility and availability are standardized. (2) This paper considers that the four indicators are equally important for the improvement of the land use mixing degree, so the average value of the four indicators is taken as the calculation result of the land use mixing degree. (3) At the scale of the development zone, the land use mixing degree of the whole development zone is calculated, and the natural break classification is used to divide the development zone into four grades: high, relatively high, relatively low and low.…”

“…Therefore, a combination of different functions (such as residence, business, office, entertainment, etc.) is advocated in urban planning to reduce commuting demands and improve community accessibility and convenience [1,2]. The rise of urban renewal and sustainable development movements in the United States and European countries has led mixed land use to be recognized as an important tool for enhancing urban vitality and achieving urban sustainability.…”

“…Overall, although scholars have realized that mixed land use is a multidimensional concept that goes beyond any single index and have attempted to quantitatively measure mixed land use from different angles, the focus has remained on the aspects of mixed land use and building complexity or the dimensions of distance, quantity and attributes. To date, no standardized measurement index system or method has been established to evaluate the spatial distribution of mixed land use at urban or regional scales [2,10]. On the other hand, compared to those on mixed urban land use, few studies on mixed rural land use and its influencing factors have been conducted [29].…”