Urban sustainability assessment at the neighborhood scale: Integrating spatial modellings and multi-criteria decision making approaches

Abstract

Urban sustainability is a highly complex concept that requires integrative assessment frameworks to determine the measures that should be adopted to achieve a sustainable city. The present study aimed to conduct a spatially-based sustainability assessment at the neighborhood scale in Isfahan Metropolitan, a rapidly urbanizing region in the center of Iran, using an integrated framework of spatial modeling and multi-criteria decision-making analysis (MCDA). As a first step, the spatial distribution of a set of indicators was provided in three distinct categories, ecosystem service, environmental hazard, and urban structure using various spatial modeling approaches. After standardizing the indicators and assigning appropriate weights to them, different multi-criteria decision analysis models were used to aggregate the indicator layers. The sustainability layers based on ecosystem services, environmental hazards, and urban structure were integrated using MCDA models. The results indicated that less than 3% of the total neighborhood area were categorized as almost sustainable, while 36.1% and 59.4% were respectively scored as poor and moderate sustainable area. None of the neighborhoods was categorized in the sustainably good class, whereas 1.73% of the area was unsustainable. Moreover, the urban structure-based aspect was found to be the most sustainable, while the urban environmental hazards dimension exhibited the lowest sustainability, with 71.98% falling into the poor and unsustainable category. The spatial investigation showed that the central parts of the city were more sustainable than the urban periphery. In conclusion, a spatially-based sustainable assessment of Isfahan City at the neighborhood level can provide urban planners with valuable insights to undertake operational actions and achieve sustainable development goals.