IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (Jan 2023)

Potential Evaluation for Compound Use of Urban Municipal Infrastructure Land in High-Density Cities: A Case Study in Shenzhen, China

  • Jing Dong,
  • Bin Zhang,
  • Fei Guo,
  • Ruonan Guo,
  • Jun Cai,
  • Hongchi Zhang

DOI
https://doi.org/10.1109/JSTARS.2023.3312512
Journal volume & issue
Vol. 16
pp. 8871 – 8883

Abstract

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As an important part of stock renewal in high-density cities, the compound use of urban municipal infrastructure land (UMICU) plays an important role in improving the efficiency of land-resource utilization and mitigating not in my backyard (NIMBY) effects. However, compared with the reuse of industrial land and other stock land, there have been few practical studies on UMICU. In this study, we proposed an approach to evaluate UMICU potential from a city-scale perspective. A complete and feasible workflow was also established to define potential land for UMICU, comprehensively analyze suitable compound use directions, construct an index system for UMICU combining demand and supply levels, quantitatively calculate indices based on remote sensing and geographic information system, and accurately evaluate UMICU potential using the technique for order preference by similarity to an ideal solution-Monte Carlo simulation model to derive the priority of each potential land for UMICU under different compound use modes and develop optimization strategies. A case study in Shenzhen, China, demonstrated the applicability and implications of the workflow. The results showed that UMICU can be subdivided into park renovation, commercial development, public-service compound, and municipal compound mode. The area of low-potential plots under the park renovation mode accounted for the lowest percentage (1.7%), while the area of low-potential plots under the commercial development mode accounted for the highest percentage (36.5%). Under all four compound use modes, the area of high-potential plots of Nanshan Street was the highest. The method is flexible and easy to adapt to different local contexts, allowing evaluators to introduce parameters considering the availability of local data, and will help decision-makers to scientifically implement the UMICU in the most effective land, which provides a strong reference for high-quality development in other high-density cities facing land scarcity and prominent NIMBY effects.

Keywords