The Multi-Attribute Decision-Making Problem in Urban Planning and Design

A special issue of Urban Science (ISSN 2413-8851). This special issue belongs to the section "Urban Planning and Design".

Deadline for manuscript submissions: 30 December 2026 | Viewed by 3454

Special Issue Editors

Faculty of Innovation and Design, City University of Macau, Macau 999074, China
Interests: urban design; renewal and governance; urban disaster-resistant assessment; urban green space system planning; smart city
Special Issues, Collections and Topics in MDPI journals
Faculty of Humanities and Arts, Macau University of Science and Technology, Macau 999078, China
Interests: multiple-attribute decision-making; urban design; public policy

Special Issue Information

Dear Colleagues,

In urban planning and design, multi-attribute decision-making issues arise at both the meso and micro levels, and these decisions often require balancing numerous conflicting criteria while fully leveraging modern technological tools to support the decision-making process. Multi-attribute decision-making challenges are pervasive, particularly at the meso and micro levels. At the meso level, planning primarily involves designing regions, communities, and the overall functional zoning of the city. Decision-makers at this level must consider multiple factors simultaneously when addressing issues such as land use, transportation networks, and public facility configurations, including:

  • Economic benefits and cost control;
  • Environmental sustainability;
  • Social equity and participation;
  • Technological and managerial innovation.

These multi-attribute factors are often interdependent and mutually influential, requiring decision-makers to employ both quantitative and qualitative methods to comprehensively evaluate and trade off the various criteria, thereby formulating integrated plans that meet economic, environmental, and social demands. At the micro level, the focus shifts to the specific details of urban design, such as architectural design, public space planning, and detailed landscape design. Although the scope of decision-making at this level is narrower, its impact directly affects the daily quality of life of urban residents. Potential research areas include, but are not limited to:

  • The application and challenges of multi-attribute decision-making in urban land use planning;
  • The integration of GIS and big data technologies in urban decision support systems;
  • Multi-objective decision models and empirical analysis in smart city construction;
  • Multi-attribute assessment and innovative practices in urban public space design;
  • Human-centered urban environmental design—from microclimate regulation to ecological buildings;
  • Application and empirical study of multi-attribute decision-making in urban environmental design.

Dr. Lei Xiong
Dr. Bowei Zhu
Guest Editors

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Keywords

  • multi-attribute decision-making
  • urban design
  • public facility configuration
  • social equity
  • public space design
  • human centered

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Published Papers (2 papers)

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Research

27 pages, 1423 KB  
Article
Integrating Fuzzy Delphi and Rough Set Analysis for ICH Festival Planning and Urban Place Branding
by Bei Yao Lin, Hongbo Zhao, Cheng Cheong Lei and Gwo-Hshiung Tzeng
Urban Sci. 2025, 9(12), 535; https://doi.org/10.3390/urbansci9120535 - 12 Dec 2025
Viewed by 878
Abstract
Folk festivals and other intangible cultural heritage have received widespread attention, and their socio-cultural value can be used to promote tourism, strengthen local identity, and build city brands. However, it remains unclear how these intangible cultural heritage festivals transform their multi-dimensional and multi-configuration [...] Read more.
Folk festivals and other intangible cultural heritage have received widespread attention, and their socio-cultural value can be used to promote tourism, strengthen local identity, and build city brands. However, it remains unclear how these intangible cultural heritage festivals transform their multi-dimensional and multi-configuration material characteristics into economic benefits and image enhancement. This study proposes a practical decision-making framework aimed at understanding how different festival design and governance strategies can work synergistically under different cultural conditions. Based primarily on a literature review and expert questionnaire survey, this study identified six stable materialized practice modules: productization, spatialization, experientialization, digitalization, branding/communication, and co-creation governance. At the same time, this framework also incorporates two other conditional intervention properties: classicism and novelty. The interactions between these modules shape people’s understanding of intangible cultural heritage festivals. Subsequently, this study used a multimodal national dataset that included official statistics, industry reports, e-commerce and social media data, questionnaires, and expert ratings to construct module scores and cultural attributes for 167 festival case studies. Through rough set analysis (RSA), this study simplifies the attributes and extracts clear “if-then” rules, establishing a configurational causal relationship between module configuration and classic/novel conditions to form high economic benefits and enhance local image. The findings of this study reveal a robust core built around spatialization, digitalization, and co-creative governance, with brand promotion/communication yielding benefits depending on the specific context. This further confirms that classicism reinforces the legitimacy and effectiveness of rituals/spaces and governance pathways, while novelty amplifies the impact of digitalization and immersive interaction. In summary, this study constructs an integrated and easy-to-understand process that links indicators, weights, and rules, and provides operational support for screening schemes and resource allocation in festival event combinations and venue brand governance. Full article
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29 pages, 3545 KB  
Article
Economic Feasibility Assessment of Industrial Heritage Reuse Under Multi-Attribute Decision-Based Urban Renewal Design
by Shuxuan Meng, Jingbo Zhang and Lei Xiong
Urban Sci. 2025, 9(11), 456; https://doi.org/10.3390/urbansci9110456 - 2 Nov 2025
Cited by 2 | Viewed by 1869
Abstract
Industrial heritage is increasingly becoming an important resource for sustainable urban renewal. With the acceleration of deindustrialization and urban transformation, Adaptive Reuse (AR) is regarded as the core path connecting heritage protection and functional renewal. Balancing the diverse value dimensions of AR has [...] Read more.
Industrial heritage is increasingly becoming an important resource for sustainable urban renewal. With the acceleration of deindustrialization and urban transformation, Adaptive Reuse (AR) is regarded as the core path connecting heritage protection and functional renewal. Balancing the diverse value dimensions of AR has also become a key research focus. However, existing research mostly focuses on financial returns and investment efficiency, ignoring the long-term impact of community space and cultural dimensions on economic feasibility; at the same time, culture is often simplified into a tool for asset appreciation and urban branding, lacking a systematic model that reveals the structural role of culture in economic feasibility. Therefore, this study constructs a multi-attribute decision-making framework that integrates economic performance, community space, and cultural value. Using Guangzhou Guanggang New City as a representative case, the Fuzzy Delphi Method (FDM), Analytic Network Process (ANP), and Grey Relational Analysis (GRA) were employed to screen and rank the highest-priority reuse schemes. The results show that the economic dimension holds the highest overall weight, followed by the community and cultural dimensions. This suggests that economic feasibility remains a key prerequisite for industrial heritage renewal, while cultural and community factors play an important supporting role in achieving long-term sustainability. This study provides a quantifiable assessment path for the adaptive reuse of industrial heritage and offers a basis for decision making in other cities seeking a balance between economic rationality and cultural sustainability. Full article
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