Spatial Decision Support System for Urban Planning: Case Study of Harbin City in China

Wang, Yaowu; Zou, Zhichong

doi:10.1061/(asce)0733-9488(2010)136:2(147)

Cited by 30 publications

(12 citation statements)

References 11 publications

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“… 1 Alexander et al (); 2 Arciniegas, Janssen, and Omtzigt (); 3 Arciniegas and Janssen (); 4 Arciniegas, Janssen, and Rietveld (); 5 Battista and O’Brien (); 6 Canessa et al (); 7 Cravens (); 8 Depellegrin (); 9 Edwards and Evans (); 10 Ghaemi et al (); 11 González (); 12 Grêt‐Regamey et al (); 13 Jeong et al (); 14 Karnatak et al (); 15 Labiosa et al (); 16 Lathrop et al (); 17 Lieske (); 18 Mari et al (); 19 Merrifield et al (); 20 Parravicini et al (); 21 Rafiee et al (); 22 Segan et al (); 23 Simão et al (); 24 Stelzenmüller et al (); 25 Tuda et al (); 26 Wang and Zou (); 27 West (); 28 Wood and Dragicevic (); 29 Zimmer et al (). …”

Section: Review Results and Discussionmentioning

confidence: 99%

“…Such developments are helping to overcome some of the usability obstacles to the full exploitation of a web tool’s functionality, reported by Babelon et al (). However, usage and learnability issues remain on specialized web tools that emerged in response to specific environmental management and planning issues (e.g., Parravicini et al, ; Segan et al, ; Stelzenmüller, Lee, Garnacho, & Rogers, ; Wang & Zou, ; Wood & Dragicevic, ). Usually, these are not accessible or usable by non‐experts, as they require specialist knowledge and technical proficiency for their effective application (e.g., for defining modeling inputs and interpreting outputs).…”

Section: Review Results and Discussionmentioning

confidence: 99%

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Advancements in web‐mapping tools for land use and marine spatial planning

González

Kelly

Rymszewicz

2019

Transactions in GIS

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Land use and marine spatial planning processes are increasingly supported by systematic assessment techniques, particularly by multi‐criteria spatial analysis methods. This has been facilitated by the growing release and uptake of web‐mapping tools, which contribute to transparent, consistent, and informed planning processes and decisions. This article reviews the usability, functionality, and applicability of contemporary planning web‐mapping tools to identify the state‐of‐the‐art and future prospects. The review reveals that interfaces are increasingly available and intuitively applicable by non‐specialized users. Basic map navigation and data querying functionality is being expanded to incorporate advanced map‐making and online data geoprocessing capabilities that enable deriving new data and insights. However, the majority of published planning web tools are one‐off solutions, and a disconnect between research and practice is rendering many of these inaccessible or obsolete. Despite the significant progress made in advancing their provision in the last decade, there is a need for developing transferable interfaces that are maintained beyond project end dates, for them to effectively and consistently support planning processes.

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Section: Review Results and Discussionmentioning

confidence: 99%

Section: Review Results and Discussionmentioning

confidence: 99%

Advancements in web‐mapping tools for land use and marine spatial planning

González

Kelly

Rymszewicz

2019

Transactions in GIS

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“…Wang and Zou [59] employed spatial data mining by acquiring knowledge from the geographic information system (GIS) database to support urban planners in their decision-making processes, as accelerating Chinese urbanization begins to cause urban overexpansion problems.…”

Section: Bibliographic Portfoliomentioning

confidence: 99%

“…The designated studies focused primarily on the areas of smart mobility [22,32,33,[36][37][38][39][40][41][42][48][49][50][51][52]54,[56][57][58][59][60] and smart environment (RQ2) [23][24][25][26][29][30][31]33,35,36,42,43,[45][46][47]52,53,55,59].…”

Section: Bibliographic Portfoliomentioning

confidence: 99%

Data Mining and Machine Learning to Promote Smart Cities: A Systematic Review from 2000 to 2018

et al. 2019

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Smart cities (SC) promote economic development, improve the welfare of their citizens, and help in the ability of people to use technologies to build sustainable services. However, computational methods are necessary to assist in the process of creating smart cities because they are fundamental to the decision-making process, assist in policy making, and offer improved services to citizens. As such, the aim of this research is to present a systematic review regarding data mining (DM) and machine learning (ML) approaches adopted in the promotion of smart cities. The Methodi Ordinatio was used to find relevant articles and the VOSviewer software was performed for a network analysis. Thirty-nine significant articles were identified for analysis from the Web of Science and Scopus databases, in which we analyzed the DM and ML techniques used, as well as the areas that are most engaged in promoting smart cities. Predictive analytics was the most common technique and the studies focused primarily on the areas of smart mobility and smart environment. This study seeks to encourage approaches that can be used by governmental agencies and companies to develop smart cities, being essential to assist in the Sustainable Development Goals.

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“…In terms of SDSS for land use planning, it is designed to assist the planner with guidance and reference in making land use decisions [25]. For instance, when deciding where to build a new high-speed railway station, many criteria related to the location choice, such as noise and employment distributions, service radius, and surrounding impacts along the railways, make the decision-making difficult and complicated.…”

Section: Spatial Decision Support Systems (Sdss)mentioning

confidence: 99%

A Review of Planning Support Systems for Urban Land Use Planning

Wang

Shen

Tang

2013

Proceedings of the 17th International Symposium on Advancement of Construction Management and Real Estate

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This paper reviews the research work on a relatively particular areaplanning support systems (PSS) for urban land use planning (ULUP) from their emergence to the present. To aid readers' clear understanding of PSS, its definition is discussed in the beginning. The review summarizes the development of PSS from two perspectives: system components and system application. In terms of system components, namely, the major theories and technologies serving for building the PSS such as related planning theories, GIS and decision support systems (DSS) technologies are reviewed respectively. With respect to system application, the paper discusses in detail their application to urban (land use) planning and other specialized planning separately. Based on this systematic overview, the characteristics in different times, especially current advantages and shortcomings of the PSS are indicated. Moreover, several new research trends in the PSS area are also highlighted for guiding researchers in future studies. Keywords Planning support systems • Land use planning • Urban planning • Spatial decision support systems • GIS IntroductionLand is the foundation of human activities. Without enough land, cities cannot be formed, let alone developed further. With the development of human civilization, natural land has been occupied by human beings increasingly. Because of the rapid growth of the world population, more and more developed land is needed to satisfy the demands of humans. However, only 29 % of the earth's surface is land, and

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Spatial Decision Support System for Urban Planning: Case Study of Harbin City in China

Cited by 30 publications

References 11 publications

Advancements in web‐mapping tools for land use and marine spatial planning

Advancements in web‐mapping tools for land use and marine spatial planning

Data Mining and Machine Learning to Promote Smart Cities: A Systematic Review from 2000 to 2018

A Review of Planning Support Systems for Urban Land Use Planning

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