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Land
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Computational Design and Planning for Socio-Environmental Sustainability of Landscapes and...
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Computational Design and Planning for Socio-Environmental Sustainability of Landscapes and Communities

A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land Socio-Economic and Political Issues".

Deadline for manuscript submissions: 1 March 2025 | Viewed by 1271

Special Issue Editors

Dr. Xiwei Shen

E-Mail Website
Guest Editor
School of Architecture, University of Nevada, Las Vegas, VA 89154, USA
Interests: landscape architecture; ecology restoration; VOC emission
Special Issues, Collections and Topics in MDPI journals
Dr. Bo Zhang

E-Mail Website
Guest Editor
Department of Horticulture and Landscape Architecture, Oklahoma State University, Stillwater, OK 74077, USA
Interests: data science; social value of places; design theory
Special Issues, Collections and Topics in MDPI journals
Dr. Yang Song

E-Mail Website
Guest Editor
Department of Landscape Architecture & Urban Planning, Texas A&M University, College Station, TX 77840, USA
Interests: data science; social value of places; design theory
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to announce this Special Issue dedicated to exploring the intersection of computational design and planning with socio-environmental sustainability. This Special Issue aims to delve into innovative approaches, methodologies, and technologies that leverage computational tools to foster sustainable landscapes and communities.

The sustainability of landscapes and communities is a pressing global concern, requiring a multidisciplinary approach that integrates environmental, social, and economic dimensions. Computational design and planning offer transformative potential in addressing these challenges by providing advanced tools for analysis, simulation, visualization, and decision-making.

This Special Issue seeks contributions that achieve the following:

  1. Advance Theoretical and Practical Knowledge: Papers that contribute to the theoretical foundations of computational design and planning in the context of socio-environmental sustainability. We encourage submissions that offer new insights, models, and frameworks.
  2. Showcase Innovative Applications: Papers that demonstrate the application of computational techniques in real-world scenarios. These should highlight successful implementations and lessons learned in enhancing sustainability.
  3. Develop New Tools and Techniques: Papers that introduce novel computational tools, algorithms, and methods aimed at improving the outcomes of sustainability. This includes advancements in Geographic Information Systems (GISs), remote sensing, environmental modeling, machine learning, and participatory planning platforms.
  4. Promote Interdisciplinary Collaboration: Papers that emphasize the importance of interdisciplinary approaches, involving collaboration between urban planners, landscape architect, environmental scientists, engineers, social scientists, and other relevant stakeholders.

We invite submissions focused on a wide range of topics, including, but not limited to, the following:

  • Computational models for sustainable land use and urban planning;
  • Environmental impact assessment using computational tools;
  • Simulation and visualization of socio-environmental dynamics;
  • Integration of big data and AI in sustainability planning;
  • Participatory planning and decision support systems;
  • Climate change adaptation and resilience planning;
  • Smart cities and sustainable infrastructure design;
  • Ecosystem services assessment and management;
  • Sustainable water resource management;
  • Green infrastructure and urban ecology.

Dr. Xiwei Shen
Dr. Bo Zhang
Dr. Yang Song
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Land is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • socio-environmental sustainability
  • climate change adaption
  • environment impact assessment
  • smart cities
  • green infrastructure
  • environmental modeling

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  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

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Research

33 pages, 2088 KiB  
Article
Investigation of Diverse Urban Carbon Emission Reduction Pathways in China: Based on the Technology–Organization–Environment Framework for Promoting Socio-Environmental Sustainability
by Haiyan Jiang, Jiaxi Lu, Ruidong Zhang and Xi Xiao
Land 2025, 14(2), 260; https://doi.org/10.3390/land14020260 - 26 Jan 2025
Viewed by 285
Abstract
In the context of global carbon emissions and climate change, identifying context-specific low-carbon pathways for urban areas is critical for achieving socio-environmental sustainability. This study applies the technology–organization–environment (TOE) framework to examine the driving mechanisms and the diversity in carbon reduction pathways across [...] Read more.
In the context of global carbon emissions and climate change, identifying context-specific low-carbon pathways for urban areas is critical for achieving socio-environmental sustainability. This study applies the technology–organization–environment (TOE) framework to examine the driving mechanisms and the diversity in carbon reduction pathways across 81 cities in China. Utilizing partial least squares structural equation modeling (PLS-SEM) and necessary condition analysis (NCA), this research assesses the roles of technological, organizational, and environmental drivers in urban carbon reduction. Fuzzy-set qualitative comparative analysis (fsQCA) is employed to uncover distinct carbon reduction pathways and causal asymmetries between cities. The findings reveal that technological, organizational, and environmental factors significantly drive carbon reduction, with technological and organizational factors playing the central roles. Environmental factors exert primarily indirect effects, interacting with technological and organizational drivers. This study categorizes cities into three distinct carbon reduction models: cities with high carbon-neutral potential primarily leverage technological innovation and energy efficiency optimization; cities with moderate potential integrate technology and policy, emphasizing green landscape planning to achieve balanced development; and cities with lower carbon reduction potential are mainly policy-driven, constrained by technological and resource limitations. This study underscores the role of computational modeling in providing valuable insights for the development of context-tailored carbon reduction strategies. It highlights the synergetic interactions among technological, organizational, and environmental factors, offering essential guidance for advancing sustainable development planning and facilitating the low-carbon transition of cities and communities. Full article
(This article belongs to the Special Issue Computational Design and Planning for Socio-Environmental Sustainability of Landscapes and Communities)
28 pages, 38863 KiB  
Article
Exploring the Relationship Between Visual Perception of the Urban Riverfront Core Landscape Area and the Vitality of Riverfront Road: A Case Study of Guangzhou
by Shawei Zhang, Junwen Lu, Ran Guo and Yiding Yang
Land 2024, 13(12), 2142; https://doi.org/10.3390/land13122142 - 9 Dec 2024
Viewed by 680
Abstract
The vitality of riverfront districts, as a crucial component of urban livability, is profoundly influenced by human visual perception of the surrounding environment. This study takes the Pearl River in Guangzhou as an example and explores the relationship between the visual perception of [...] Read more.
The vitality of riverfront districts, as a crucial component of urban livability, is profoundly influenced by human visual perception of the surrounding environment. This study takes the Pearl River in Guangzhou as an example and explores the relationship between the visual perception of the urban riverfront core landscape area and the vitality of Riverfront Road. Employing subjective environment perception prediction methods and analyzing the riverfront landscape pictures captured by the research team, we quantified six essential perceptual dimensions. Furthermore, we evaluated the vitality of Riverfront Road through a four-step process: 1. measuring key visual indices of Riverfront Road, including the green view index (GVI), water view index (WVI), sky view index (SVI), and building view index (BVI); 2. evaluating the proximity of cultural landmarks to Riverfront Road; 3. calculating the convenience of driving, buses, and subways for Riverfront Road with the network analysis method; 4. deriving the vitality value of Riverfront Road through the combination of hotspot data from Baidu. With the application of random forest and result comparisons, we obtained a comprehensive analysis of the correlation between visual perception of the urban riverfront core landscape area and the vitality of Riverfront Road. The results reveal the significant correlation between these two factors and highlight that visual perception of the old city landscape area is superior to that of the new city, although the cultural landmarks and transportation convenience play essential roles in the improvement of vitality in Riverfront Road. It is evident that relying solely on visual design may fail to prominently boost vitality. Overall, spatial design should adopt a multidimensional approach, integrating various factors such as transportation convenience, social interaction venues, cultural activities, etc., to create a cohesive vitality network. Full article
(This article belongs to the Special Issue Computational Design and Planning for Socio-Environmental Sustainability of Landscapes and Communities)
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