Real vs. Virtual City: Planning Issues in a Discontinuous Urban Area in Budapest’s Inner City

Benkő, Melinda; Bene, Bence; Pirity, Ádám; Szabó, Árpád; Egedy, Tamás

doi:10.17645/up.v6i4.4446

Cited by 7 publications

(5 citation statements)

References 52 publications

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“…Some researchers must pay more attention to modern design, especially in public spaces such as meetings and walks. Therefore, studying large-scale urban planning issues is one of the most important directions for solving current urban problems (Egedy, 2021). This section examines road transport design criteria from a "practicality" perspective, including road transport experience and usability, safe road design at scale, good walking experience, and humanization of rich social life.…”

Section: Street Space Design Model Based On Walking Experiencementioning

confidence: 99%

Similarity-Based Algorithm for Urban Street Refinement Design Model Extraction Research

Song

2023

EAI Endorsed Trans Energy Web

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INTRODUCTION: The function of many public street spaces in Chinese cities is declining, but urban street space is essential in cities. How to enhance the street's fireworks and reshape the street's rich living atmosphere is worthy of further research and discussion. OBJECTIVES: Based on the similarity algorithm urban street enhancement-related theories, paper summarizes the current problems of urban street space in China, researches the corresponding enhancement strategies according to the issues, and makes a strategic research and summary on the relationship between the interfaces of the scope of the visual field and the human behavior, as well as the relationship between the pedestrian and the vehicular traffic. METHODS: An in-depth study after defining the concept, summarizing the idea and extracting the urban street refinement design model using the similarity algorithm. RESULTS: The new urban street refinement design model can improve the psychological satisfaction of people walking in the application; the street space design model of the walking experience will also use the algorithm to simulate the joy; lastly, a recommended optimization technique is presented for the construction of a humanized street scale and other related factors. CONCLUSION: The study of urban street space is a refined design strategy for the improvement of the urban landscape; the growth of the happiness index of urban residents is of great significance and, at the same time, for the enhancement of China's modernization level, improve the human habitat environment are of great importance, and should pay attention to the urban street refinement design.

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Section: Street Space Design Model Based On Walking Experiencementioning

confidence: 99%

Similarity-Based Algorithm for Urban Street Refinement Design Model Extraction Research

Song

2023

EAI Endorsed Trans Energy Web

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“…In this paper, digitization is considered as the transition from decision making processes based on documents to a data-driven decision-making process [8]. Digitalization has the capacity to respond to the increasing complexity of the urban planning process and collaborate in the sustainable development of cities [12,23]. According to the survey, although every respondent uses at least one digital tool (mainly GIS and CAD tools), the most innovative technologies are used by a minority, and the communication still consists mostly in 2D and analog information.…”

Section: Digitalizationmentioning

confidence: 99%

“…The last decade has seen digitalization, information, and communication technologies perform a rapidly growing role in urban development. Researchers, the public sector, and software suppliers have developed a variety of frameworks, methodologies, and supporting tools to address this [8,[12][13][14][15]. Digitalization has the potential to render decision-making in urban planning data-driven, responding to the increasing complexity of this process [5].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Challenges in the Swedish Urban Planning Process: A Case Study about Digitalization

Varela

Öhrling²,

Moscati

2022

Sustainability

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While the populations of cities continue to grow, institutions are demanding more sustainability in urban development, leading to a great increase in the complexity of urban planning. The need to consider social, legal, environmental, and economic parameters challenges the traditional urban planning processing in favor of an optimized and automated process. Generative design has the potential to optimize the design phase by automatically generating spatial design solutions and analyzing them in the design phase. The objective of the present study is to analyze the traditional urban planning process and to compare it with a digitalized driven process by using generative design. This study uses a mixed approach with four research methods: document analysis, survey, interviews, and a case study based in Sweden. The critical analysis of the Swedish urban planning process makes it possible to define the main barriers to a digitalized process. Results also show the benefits of using generative design for a more sustainable and faster design process. Two main conclusions can be made from this study: institutional and organizational changes are necessary to achieve digitalization, and generative design proves to be a useful tool that should be considered to support the digitalization of urban planning.

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“…A process-driven framework for Mediterranean historic city centers has been proposed [28]. In Budapest, digital planning is evaluated for the urban regeneration of a fragmented heterogeneous urban fabric environment [29]. Smart Cities Mission was launched in 2015 for 100 cities in India, a project in which ICT and digital technologies are particularly emphasized [30].…”

Section: Introductionmentioning

confidence: 99%

“…Large amounts of data processing work are needed to set up a high-dimensional digital model and accumulate historical data. Secondly, parametric models are limited to specific urban neighborhood and projects [29,47]. A comparable analysis of municipal planning and development is lacking across multiple cities and regions.…”

Section: Introductionmentioning

confidence: 99%

Municipal and Urban Renewal Development Index System: A Data-Driven Digital Analysis Framework

Wang,

Li,

et al. 2024

Remote Sensing

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Urban renewal planning and development are vital for enhancing the living quality of city residents. However, such improvement activities are often expensive, time-consuming, and in need of standardization. The convergence of remote sensing technologies, social big data, and artificial intelligence solutions has created unprecedented opportunities for comprehensive digital planning and analysis in urban renewal development and management. However, fast interdisciplinary development imposes some challenges because the data collected and the solutions built are defined piece by piece and require further fusion and integration of knowledge, evaluation standards, systematic analyses, and new methodologies. To address these challenges, we propose a municipal and urban renewal development index (MUDI) system with data modeling and mathematical analysis models. The MUDI system is applied and studied in three circumstances: (1) at regional level, 337 cities are selected in China to demonstrate the MUDI system’s comparable analysis capabilities on a large scale across cities; (2) at city level, 285 residential communities are selected in Xiamen to demonstrate the use of remote sensing data as key MUDIs for a temporal urban land change analysis; and (3) at the level of residential neighborhoods’ urban renewal practices, Xiamen’s Yingping District is selected to demonstrate the MUDI system’s project management capabilities. We find that the MUDI system is highly effective in municipal and urban data model building through the abstraction and summation of grid-based satellite and social big data. Secondly, the MUDI system enables comprehension of the high dimensionality and complexity of multisource datasets for municipal and urban renewal development. Thirdly, the system is applied to enable the use of the newly developed UMAP algorithm, a model based on Riemannian geometry and algebraic topology, and the carrying out of a principal component analysis for the key dimensions and an index correlation analysis. Fourthly, various artificial intelligence-driven algorithms can be developed for urban renewal analyses based on the MUDIs. The MUDI system is a new and effective method for urban renewal planning and management that can be flexibly extended and applied to various cities and urban districts.

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Real vs. Virtual City: Planning Issues in a Discontinuous Urban Area in Budapest’s Inner City

Cited by 7 publications

References 52 publications

Similarity-Based Algorithm for Urban Street Refinement Design Model Extraction Research

Similarity-Based Algorithm for Urban Street Refinement Design Model Extraction Research

Analysis of the Challenges in the Swedish Urban Planning Process: A Case Study about Digitalization

Municipal and Urban Renewal Development Index System: A Data-Driven Digital Analysis Framework

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