Enjia Zhang

Enjia Zhang
  • Doctor of Engineering
  • Lecturer at Beijing University of Technology

About

24
Publications
1,659
Reads
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136
Citations
Introduction
I am currently working at Beijing University of Technology and hold a Ph.D. from Tsinghua University. My research lies at the intersection of urban behavior, spatial patterns, and technology, with a focus on the influence of ICT. By applying interdisciplinary knowledge and leveraging new data-driven methodologies, I aim to optimize urban planning, design, and policy-making for future cities. As an urban researcher, I am committed to exploring new urban theories and science for modern cities.
Current institution
Beijing University of Technology
Current position
  • Lecturer
Education
October 2022 - October 2023
University of Cambridge
Field of study
  • Land Economy
September 2018 - January 2024
Tsinghua University
Field of study
  • Urban and Rural Planning
September 2013 - June 2018
Huazhong University of Science and Technology
Field of study
  • Urban and Rural Planning

Publications

Publications (24)
Article
The role of information and communication technology (ICT) in substituting or complementing offline mobility has been widely studied. However, how online attractiveness influences the impact of transportation accessibility at different scales on non-work mobility remains unclear. This study explores the mediating and moderating effects of online at...
Article
The Fourth Industrial Revolution, marked by emerging/disruptive technologies like mobile internet, big data, robotics, artificial intelligence (AI), immersive media (VR/AR/MR), and the Internet of Things (IoT), is transforming cities and promoting urban development. This paper argues that these technologies foster urban studies and implementation i...
Article
Third places offer a creative alternative for both work from traditional office and home, which are becoming increasingly popular. Previous studies primarily focused on qualitative analyses and survey investigations, lacking quantitative studies exploring remote work in third places. In this study, we proposed a quantitative approach to identify an...
Article
Full-text available
Despite the importance of social justice and community attachment for subjective well-being (SWB), the existing research fails to adequately examine these factors in urban emergencies. This study develops a theoretical framework to elucidate the roles of environment perception, social justice, and community attachment in SWB during urban emergencie...
Chapter
Cycling records from emerging dockless bike-sharing services provide new opportunities to gain insight into the interactions between multiple fine-scale cycling characteristics and built environmental elements. Using Beijing as an example and the street as the analytic unit, this study examined the associations between three cycling characteristics...
Article
The essential role of urban streetscape skeletons in fostering vibrant streets has been repeatedly emphasized. However, most research focused on the macro-scale or mesoscale urban form or measuring streetscape skeletons using quantitative methods, failing to systematically examine the relationship between the street-level urban form with urban acti...
Article
With the growing penetration of information and communication technologies, social media platforms have become one of the most frequently used virtual spaces in daily life, producing spatiality with new logic and structure. However, few studies have examined the difference of visiting preferences in virtual space due to the lack of proper benchmark...
Chapter
Online activities based on various social media applications are gradually becoming a vital social activity issue in the mobile Internet era. This study aims to reveal the spatial preferences embedded in this new type of urban life to better plan and design future cities. With two different types of social media data—online location tagging from We...
Chapter
The emerging new data environment formed by big and open data provides a lens for a more detailed understanding and description of the entangling physical and social urban space. Since 2010, more than a dozen new labs, departments, and schools have been applying this new data in urban planning and design in various ways. In this context, this chapt...
Chapter
Shrinking cities as a phenomenon expanding rapidly in the world have aroused great interest in China in recent years. Hegang is a city in the northeast China, which has been losing its population and almost finished depleting the existing mineral resources, accompanied by the surplus of land and buildings, and the decline in the quality of space. T...
Chapter
As what we have described in Chap. 1, advances in ICTs (information and communication technologies) and intelligent manufacturing bring changes in daily life and urban space. A series of new technologies that have a disruptive impact on urban form, such as intelligent logistics, VR (virtual reality), AR (augmented reality), UAV (unmanned aerial veh...
Chapter
The human-centered perspective has been widely mentioned in the world. Accompanying with the raising call for human-centered consideration in urban design, a series of new data environment and new analytical methods bring new potentials for achieving this goal. For instance, the new data environment consisting of big data and open data could provid...
Chapter
Data Augmented Design (DAD) can be applied to the redevelopment-oriented urban design, which helps find problems via an existing condition analysis based on multidimensional data, and quantitatively evaluate the implementation of designs after reconstruction. Based on this framework, a data adaptive urban design solution for redevelopment-oriented...
Chapter
As one of the essential parts in urban design practice, the methodology about case study meets new opportunities in the new data environment. Quantitative research framework aiming at rational and effective case study is the second type of Data Augmented Design (DAD), which is applicable to expansion-oriented design. The specific framework is const...
Chapter
With the environmental improvement and smart city construction, the call for smart design has risen great attention. In addition to the future human settlement we interpret in Chap. 9, the new way for recreation and tourism needs also to be discussed. This chapter takes the Huangguan Island as the design site and combines the traditional spatial in...
Chapter
The framework described in Chap. 7 is also applied in the official planning workshop of Xiong’an New Area. As the establishment of the Xiong’an New Area is a major historic and strategic choice for China, its spatial planning is the fundamental guideline for its development. This chapter introduces the work we have done in this workshop, which aims...
Chapter
In the context of the fourth generation of the industrial revolution, emerging technologies have impacted almost all fields worldwide. Some changes are taking place in urban life and urban space under the influence of Information and Communication Technologies (ICTs). These changes will influence the way we understand cities and the generation of f...
Chapter
There are many famous waterfront art and cultural districts in the world, among which the urban renewal of industrial heritage is an important topic. This chapter interprets another design case of the first type of Data Augmented Design (DAD), which takes the Minsheng Wharf in Shanghai as the design site. A wide range of multisource data is analyze...
Book
This book offers an essential introduction to a new urban planning and design methodology called Data Augmented Design (DAD) and its evolution and progresses, highlighting data driven methods, urban planning and design applications and related theories. The authors draw on many kinds of data, including big, open, and conventional data, and discuss...
Article
Full-text available
Small public spaces are the key built environment elements that provide venues for various of activities. However, existing measurements or approaches could not efficiently and effectively quantify how small public spaces are being used. In this paper, we utilized a deep convolutional neural network to quantify the usage of small public spaces thro...

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