Spatial Decision Support Systems for Urban Sustainability

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closed (30 August 2024)

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31 October 2024

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Topic Information

Dear Colleagues,

Spatial Decision Support Systems (SDSSs) are designed around geospatial data, models, and analytical tools that collectively support human planning and decision-making procedures in multiple application areas. These areas are constantly evolving to better address existing real-world challenges and find innovative ways forward such as in enabling and facilitating urban sustainability.

In this Topic Issue, we focus on the theory and methods of SDSSs and their implementation in the context of urban sustainability. We are interpreting sustainability broadly to mean the understanding and improvement of inputs and processes that optimize the distribution of output patterns. We welcome contributions from research directions that focus on data-oriented approaches (e.g., spatial multicriteria methods and remote sensing), intelligence-based approaches (e.g., machine learning and artificial intelligence methods), model-based approaches (e.g., analytics and simulation methods), and participatory approaches (e.g., citizen science and volunteer GIS methods). In addition, the interoperability between the data, systems, and people can yield innovative contributions. We anticipate these ideas will be developed around the pressing urban sustainability challenges that deal with land use and land cover change, climate change adaptation, and population growth, among others.

The topic "Spatial Decision Support Systems for Urban Sustainability” provides an outlet to publish original research and application papers. Join us as we re-examine existing pathways and explore new ground in the science and applications of SDSSs. We look forward to your contributions.

Dr. Shivanand Balram
Dr. Raja Sengupta
Dr. Jorge Rocha
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Geographies geographies	-	1.7	2021	23.5 Days	CHF 1000	Submit
Geomatics geomatics	-	-	2021	21.8 Days	CHF 1000	Submit
ISPRS International Journal of Geo-Information ijgi	2.8	6.9	2012	36.2 Days	CHF 1700	Submit
Land land	3.2	4.9	2012	17.8 Days	CHF 2600	Submit
Urban Science urbansci	2.1	4.3	2017	24.7 Days	CHF 1600	Submit
Sustainability sustainability	3.3	6.8	2009	20 Days	CHF 2400	Submit

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Published Papers (5 papers)

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All Geographies Geomatics IJGI Land Urban Science Sustainability

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22 pages, 22557 KiB  

Open AccessArticle

Ecological Design for Urban Regeneration in Industrial Metropolitan Areas: The Santa Cruz Refinery Case

by Juan Diego López-Arquillo, Cano Ciborro Víctor, Oliveira Cristiana, Esteban Penelas José Luis, Domouso de Alba Francisco and Arteaga Orozco Mariana Bernice

Urban Sci. 2024, 8(3), 114; https://doi.org/10.3390/urbansci8030114 - 14 Aug 2024

Viewed by 510

Abstract

Ecological design is crucial in shaping contemporary, resilient, and livable cities. The Santa Cruz de Tenerife Refinery, a prominent landmark in the Mid-Atlantic, serves as an exemplary case study for understanding advanced metropolitan processes and integrating trans-scalar, transdisciplinary, and nature-based solutions (NBS) practices [...] Read more.

Ecological design is crucial in shaping contemporary, resilient, and livable cities. The Santa Cruz de Tenerife Refinery, a prominent landmark in the Mid-Atlantic, serves as an exemplary case study for understanding advanced metropolitan processes and integrating trans-scalar, transdisciplinary, and nature-based solutions (NBS) practices into urban contexts. This article explores the challenges of transforming obsolete industrial areas, including the refinery’s decommissioning process, its port, and industrial heritage value, and their relationship with the sea, into vibrant urban cores. It examines innovative strategies for land use, decontamination, and urban resilience, which are vital for fostering adaptability and recovery from natural and anthropogenic disasters. By emphasizing the refinery’s connection to Santa Cruz de Tenerife and its metropolitan area, as well as its coastal interface, this study proposes a comprehensive methodology to assess the territorial impacts of urban processes and guide project decisions toward enhancing the quality of life for the region’s residents. Full article

(This article belongs to the Topic Spatial Decision Support Systems for Urban Sustainability)

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21 pages, 5848 KiB  

Open AccessArticle

What Factors Revitalize the Street Vitality of Old Cities? A Case Study in Nanjing, China

by Yan Zheng, Ruhai Ye, Xiaojun Hong, Yiming Tao and Zherui Li

ISPRS Int. J. Geo-Inf. 2024, 13(8), 282; https://doi.org/10.3390/ijgi13080282 - 12 Aug 2024

Viewed by 577

Abstract

Urban street vitality has been a perennial focus within the domain of urban planning. This study examined spatial patterns of street vitality in the old city of Nanjing during working days and weekends using real-time user datasets (RTUDs). A spatial autoregressive model (SAM) [...] Read more.

Urban street vitality has been a perennial focus within the domain of urban planning. This study examined spatial patterns of street vitality in the old city of Nanjing during working days and weekends using real-time user datasets (RTUDs). A spatial autoregressive model (SAM) and a multiscale geographically weighted regression (MGWR) model were employed to quantitatively assess the impact of various factors on street vitality and their spatial heterogeneity. This study revealed the following: (1) the distribution of street vitality in the old city of Nanjing exhibited a structure centered around Xinjiekou, with greater regularity and predictability in street vitality on working days than on weekends; (2) eight variables, such as traffic location, road density, and functional density, are positively associated with street vitality, whereas the green view index is negatively associated with street vitality, and commercial location benefits street vitality at weekends but detracts from street vitality on working days; and (3) the influence of variables such as traffic location and functional density on street vitality is contingent on their spatial position. Based on these results, this study provides new strategies to enhance the street vitality of old cities. Full article

(This article belongs to the Topic Spatial Decision Support Systems for Urban Sustainability)

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26 pages, 5896 KiB  

Open AccessArticle

Urban Parks in Novi Sad (Serbia)—Insights from Landscape Architecture Students

by Milena Lakićević, Nebojša Dedović, Marco Marto and Keith M. Reynolds

Urban Sci. 2024, 8(3), 99; https://doi.org/10.3390/urbansci8030099 - 26 Jul 2024

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Abstract

Urban parks are vital components of city ecosystems, enhancing biodiversity, climate resilience, air and water quality, health, socialization, and economic benefits for citizens in urban areas. This paper examines urban parks in Novi Sad by gathering opinions on their qualities and functions through [...] Read more.

Urban parks are vital components of city ecosystems, enhancing biodiversity, climate resilience, air and water quality, health, socialization, and economic benefits for citizens in urban areas. This paper examines urban parks in Novi Sad by gathering opinions on their qualities and functions through a questionnaire. The respondents were students enrolled in the landscape architecture course at the University of Novi Sad. To analyze their responses, multivariate statistical analysis techniques, including ANOVA, MANOVA, and contingency tables, were applied. The results highlight the primary reasons for visiting urban parks in general, as well as specific parks in Novi Sad. The paper offers insights into visitor behavior, including the frequency and length of their stays, etc., and provides an assessment of the parks’ educational functions, which were expected to be highly relevant for the respondent group. The results can be relevant for further urban park development and serve as a starting point for applying multi-criteria (MC) analysis. Specifically, the results can be used to define a set of criteria, goals, and other essential elements necessary for conducting Analytic Hierarchy Processes or similar MC analysis methods. Full article

(This article belongs to the Topic Spatial Decision Support Systems for Urban Sustainability)

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18 pages, 9889 KiB  

Open AccessArticle

Urban Planning with Rational Green Infrastructure Placement Using a Critical Area Detection Method

by Herath Mudiyanselage Malhamige Sonali Dinesha Herath, Takeshi Fujino and Mudalige Don Hiranya Jayasanka Senavirathna

Geomatics 2024, 4(3), 253-270; https://doi.org/10.3390/geomatics4030014 - 5 Jul 2024

Viewed by 586

Abstract

In an era of intense urban development and climate extremes, green infrastructure (GI) has become crucial for creating sustainable, livable, and resilient cities. However, the efficacy of GI is frequently undermined by haphazard implementation and resource misallocation that disregards appropriate spatial scales. This [...] Read more.

In an era of intense urban development and climate extremes, green infrastructure (GI) has become crucial for creating sustainable, livable, and resilient cities. However, the efficacy of GI is frequently undermined by haphazard implementation and resource misallocation that disregards appropriate spatial scales. This study develops a geographic information system (GIS)-based critical area detection model (CADM) to identify priority areas for the strategic placement of GI, incorporating four main indices—spatial form, green cover, gray cover, and land use change—and utilizing the digital elevation model (DEM), normalized difference vegetation index (NDVI), urban density index (UDI), and up-to-date land use data. By employing the developed method, the study successfully locates priority zones for GI implementation in Saitama City, Japan, effectively pinpointing areas that require immediate attention. This approach not only guarantees efficient resource allocation and maximizes the multifunctional benefits of GI but also highlights the importance of a flexible, all-encompassing GI network to address urbanization and environmental challenges. The findings offer policymakers a powerful tool with which to optimize GI placement, enhancing urban resilience and supporting sustainable development. Full article

(This article belongs to the Topic Spatial Decision Support Systems for Urban Sustainability)

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24 pages, 5816 KiB  

Open AccessArticle

Spatial Nonlinear Effects of Street Vitality Constrained by Construction Intensity and Functional Diversity—A Case Study from the Streets of Shenzhen

by Jilong Li, Niuniu Kong, Shiping Lin, Jie Zeng, Yilin Ke and Jiacheng Chen

ISPRS Int. J. Geo-Inf. 2024, 13(7), 238; https://doi.org/10.3390/ijgi13070238 - 2 Jul 2024

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Abstract

As an important part of urban vitality, street vitality is an external manifestation of street economic prosperity and is affected by the built environment and the surrounding street vitality. However, existing research on the formation mechanism of street vitality focuses only on the [...] Read more.

As an important part of urban vitality, street vitality is an external manifestation of street economic prosperity and is affected by the built environment and the surrounding street vitality. However, existing research on the formation mechanism of street vitality focuses only on the built environment itself, ignoring the spatial spillover effect on street vitality. This study uses 5290 street segments in Shenzhen as examples. Utilizing geospatial and other multisource big data, this study creates spatial weight matrices at varying distances based on different living circle ranges. By combining the panel threshold model (PTM) and the spatial panel Durbin model (SPDM), this study constructs a spatial autoregressive threshold model to explore the spatial nonlinear effects of street vitality, considering various spatial weight matrices and thresholds of construction intensity and functional diversity. Our results show the following: (1) Street vitality exhibits significant spatial spillover effects, which gradually weaken as the living circle range expands (Moran indices are 0.178***, 0.160***, and 0.145*** for the 500 m, 1000 m, and 1500 m spatial weight matrices, respectively). (2) Construction intensity has a threshold, which is 0.1466 under spatial matrices of different distances. Functional diversity has two thresholds: 0.6832 and 2.2065 for the 500 m spatial weight matrix, and 0.6832 and 1.4325 for the 1000 m matrices, and 0.6832 and 1.2724 for 1500 m matrices. (3) As an international metropolis, street accessibility in Shenzhen has a significant and strong positive impact on its street vitality. This conclusion provides stakeholders with spatial patterns that influence street vitality, offering a theoretical foundation to further break down barriers to street vitality. Full article

(This article belongs to the Topic Spatial Decision Support Systems for Urban Sustainability)

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