Development trend of urban design in “digital age”: Pan-dimensionality and individual-ubiquity

Jianguo WANG

Front. Struct. Civ. Eng. ›› 2021, Vol. 15 ›› Issue (3) : 569 -575.

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Front. Struct. Civ. Eng. ›› 2021, Vol. 15 ›› Issue (3) :569 -575. DOI: 10.1007/s11709-021-0735-7
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Development trend of urban design in “digital age”: Pan-dimensionality and individual-ubiquity
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Abstract

The wave of “digital age” featuring digital information is coming. Digital technology is profoundly changing the societal development direction and evolution paths. It also has significant bearing on production modes, social interactions and lifestyles. With regard to urban design, a system of knowledge about the creation and adaptation of material space forms that integrate humanities, art, technology and materials, digital technology has provided it with a brand-new and revolutionary scientific impetus for its evolution. The result of this evolution is “digital urban design paradigm based on human-computer interaction”, i.e., the urban development is moving toward “pan-dimensionality” and “individual ubiquity”. The future of urban design will construct a new approach to urban research and engineering, which is more complex, capable of accommodating and compatible with multiple goals of “instrumental rationality” and “value rationality”. Such a new approach shall be led by the probabilistic theory of “gray scale thinking”, reflecting quaternary synergetic view of “scientific rationality, ecological rationality, cultural rationality and technical rationality” to realize the cognitive progress of “engineering for the benefit of mankind”.

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digital age / urban design / multiple objectives / human-computer interaction / pan-dimensionality / individual-ubiquity

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Jianguo WANG. Development trend of urban design in “digital age”: Pan-dimensionality and individual-ubiquity. Front. Struct. Civ. Eng., 2021, 15(3): 569-575 DOI:10.1007/s11709-021-0735-7

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References

[1]

Elia G, Margherita A, Passiante G. Digital entrepreneurship ecosystem: How digital technologies and collective intelligence are reshaping the entrepreneurial process. Technological Forecasting and Social Change, 2020, 150: 119791

[2]

Diwekar U, Amekudzi-Kennedy A, Bakshi B, Baumgartner R, Boumans R, Burger P, Cabezas H, Egler M, Farley J, Fath B, Gleason T, Huang Y, Karunanithi A, Khanna V, Mangan A, Mayer A L, Mukherjee R, Mullally G, Rico-Ramirez V, Shonnard D, Svanström M, Theis T. A perspective on the role of uncertainty in sustainability science and engineering. Resources, Conservation and Recycling, 2021, 164: 105140

[3]

Pan Y. Heading toward Artificial Intelligence 2.0. Engineering (Beijing), 2016, 2(4): 409–413

[4]

Mylopoulos J. Information modeling in the time of the revolution. Information Systems, 1998, 23(3–4): 127–155

[5]

Dufva T, Dufva M. Grasping the future of the digital society. Futures, 2019, 107: 17–28

[6]

Balogun A L, Marks D, Sharma R, Shekhar H, Balmes C, Maheng D, Arshad A, Salehi P. Assessing the potentials of digitalization as a tool for climate change adaptation and sustainable development in urban centres. Sustainable Cities and Society, 2020, 53: 101888

[7]

Teubner R A, Stockhinger J. Literature review: Understanding information systems strategy in the digital age. Journal of Strategic Information Systems, 2020, 29(4): 101642

[8]

Wang J, Cao S J, Yu C W. Development trend and challenges of sustainable urban design in the digital age. Indoor and Built Environment, 2021, 30(1): 3–6

[9]

Abousaeidi M, Hakimian P. Developing a checklist for assessing urban design qualities of residential complexes in new peripheral parts of Iranian cities: A case study of Kerman, Iran. Sustainable Cities and Society, 2020, 60: 102251

[10]

Wang J. Four generations of urban design development paradigms from the perspective of rational planning. City Planning, 2018, 42(1): 9–73

[11]

Louail T, Lenormand M, Cantu Ros O G, Picornell M, Herranz R, Frias-Martinez E, Ramasco J J, Barthelemy M. From mobile phone data to the spatial structure of cities. Scientific Reports, 2014, 4(1): 5276

[12]

Ren C, Cao S J. Implementation and visualization of artificial intelligent ventilation control system using fast prediction models and limited monitoring data. Sustainable Cities and Society, 2020, 52: 101860

[13]

Yang J, Shi Y, Yu C, Cao S J. Challenges of using mobile phone signalling data to estimate urban population density: Towards smart cities and sustainable urban development. Indoor and Built Environment, 2020, 29(2): 147–150

[14]

Barkley J E, Lepp A. The effects of smartphone facilitated social media use, treadmill walking, and schoolwork on boredom in college students: Results of a within subjects, controlled experiment. Computers in Human Behavior, 2021, 114: 106555

[15]

Wang C, Qin F, Samuel R D J. Cloud assisted big data information retrieval system for critical data supervision in disaster regions. Computer Communications, 2020, 151: 548–555

[16]

Büchel K, Ehrlich M. Cities and the structure of social interactions: Evidence from mobile phone data. Journal of Urban Economics, 2020, 119: 103276

[17]

Roth S. Digital transformation of social theory. A research update. Technological Forecasting and Social Change, 2019, 146: 88–93

[18]

Borzan A I, Băldean D L. The development of a new interface for intelligent control of energy supply in dynamic environment with process digitization. Procedia Manufacturing, 2020, 46: 914–921

[19]

Doukari O, Greenwood D. Automatic generation of building information models from digitized plans. Automation in Construction, 2020, 113: 103129

[20]

Abdul-Rahman M, Chan E H W, Wong M S, Irekponor V E, Abdul-Rahman M O. A framework to simplify pre-processing location-based social media big data for sustainable urban planning and management. Cities (London, England), 2020, 109: 102986

[21]

Kousiouris G, Akbar A, Sancho J, Ta-shma P, Psychas A, Kyriazis D, Varvarigou T. An integrated information lifecycle management framework for exploiting social network data to identify dynamic large crowd concentration events in smart cities applications. Future Generation Computer Systems, 2018, 78: 516–530

[22]

Gong V X, Daamen W, Bozzon A, Hoogendoorn S P. Crowd characterization for crowd management using social media data in city events. Travel Behaviour & Society, 2020, 20: 192–212

[23]

Kong L, Liu Z, Wu J. A systematic review of big data-based urban sustainability research: State-of-the-science and future directions. Journal of Cleaner Production, 2020, 273: 123142

[24]

Sanchez-Sepulveda M, Fonseca D, Franquesa J, Redondo E. Virtual interactive innovations applied for digital urban transformations. Mixed approach. Future Generation Computer Systems, 2019, 91: 371–381

[25]

Khan S, Nazir S, García-Magariño I, Hussain A. Deep learning-based urban big data fusion in smart cities: Towards traffic monitoring and flow-preserving fusion. Computers & Electrical Engineering, 2021, 89: 106906

[26]

Mark R, Anya G. Ethics of using smart city ai and big data: The case of four large european cities. ORBIT Journal, 2019, 2(2): 1–36

[27]

Kandt J, Batty M. Smart cities, big data and urban policy: Towards urban analytics for the long run. Cities (London, England), 2020, 109: 102992

[28]

Abd Elrahman A S, Asaad M. Urban design & urban planning: A critical analysis to the theoretical relationship gap. Ain Shams Engineering Journal, 2021, 12(1): 1163–1173

[29]

Charef R, Emmitt S. Uses of building information modelling for overcoming barriers to a circular economy. Journal of Cleaner Production, 2020, 285: 124854

[30]

Lom M, Pribyl O. Smart city model based on systems theory. International Journal of Information Management, 2021, 56: 102092

[31]

Wang J. Vision of China’s future urban construction reform: In the perspective of comprehensive prevention and control for multi disasters. Sustainable Cities and Society, 2021, 64: 102511

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The Author(s) 2021. This article is published with open access at link.springer.com and journal.hep.com.cn

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