Session Chair: Kyota Hashimoto Session Theme: Online Discussion and Cooperation Session Number: 2 Paper No: 6 Session and Talk No: TS2-5 Type: Full Co-authors: Jie Jiang, Nagai Yukari, Yuizono Takaya and Yang Yu Title: Research on New Quantitative Methods to Understand the Vitality of Urban Public Space

1. Presenter:Jiang Jie
s1920011@jaist.ac.jp
Nagai Lab/Japan Advanced Institute of Science and Technology
15th International Conference on Knowledge , Information and Creativity Support System
Research on New Quantitative Methods to
Understand the Vitality of Urban Public Space

2. ABSTRACT
2
New data could fully reflect the behavioral characteristics and laws of Spatio-
temporal of human activities, thus making it possible to truly describe the
dynamic nature of public space. The research shows that the study of urban
vitality with new data has significant advantages, and has the characteristics
of efficiency, diversification, and objectivity. New data has some applicability
and limitations in the quantitative study of spatial vitality on different scales.
Selecting the new data as the basis for quantitative research is of great
significance for improving and optimizing the design of public space.
Quantitative research on the fine-scale of public space vitality will have great
research potential.
Keywords—human-centered, urban public space, vitality, quantitative research, new data

3. OVERVIEW
Background
▪ Considering systematic design from an interdisciplinary perspective
▪ The problems of urban vitality are studied by traditional qualitative methods
▪ Why it is necessary to use new data to quantify urban vitality
Method
▪ Materials and proposed method
Results and Discussion
▪ 3 Dimansions:
The behavioral trajectory dimension, Affective dimension, and Spatial cognitive dimension
▪ Discussion the advantages and limitations from 3 dimansions
Conclusion
▪ Contribution of the research
▪ Future research
3

4. With the development of information technologies such as the Internet, intelligent terminals, and
the Internet of Things(IoT), big data is increasingly becoming a new technical means in the
field of city planning and design. It is necessary to consider systematic design from an
interdisciplinary perspective [1].
BACKGROUND
4

5. Urban Public Space Vitality
• Raw power and energy within cities
• The essential element for achieving quality of life
• Highly related to public life on the streets, squares, and parks
• Vital importance for sustainable urban development
BACKGROUND
5

6. Urban Public Space Vitality Theories
• Four conditions to promote urban vitality in the face of declining American
big cities
• The cognitive map method to evaluate urban vitality in five categories of
spatial elements (path, edge, district, node, and landmark)
Traditional Quantitative Research Methods
• Direct Descriptions:
Observation, Questionnaire survey method, and On-site interviews,etc.
• Indirect Descriptions:
Expert scoring method, Semantic Differential(SD) method, etc.
BACKGROUND
6

7. Big data not only has the characteristics of objectivity, multi-source, and
dynamics but also has the advantage of comprehensively reflecting the
behavioral characteristics of humans, making it possible to
comprehensively reflect the behavioral characteristics and spatial and
temporal laws of human activities.
Research Purpose
▪ Sorting out quantitative research progress based on new data to
understand the vitality of urban public spaces , in order to make up for
the lack of traditional qualitative research on urban vitality.
3
BACKGROUND

8. METHOD
8

9. METHOD
▪ Eagle's triple model of human attitudes towards the environment
9

10. Classification Description of Issues and Papers
Behavioral
Trajectory
Dimension
Using Location Data from Cell Phones for Urban Analysis. (Ratti, C., Frenchman, D., Pulselli, R. M., & Williams, S.,2006.) [14]
Geocaching data as an indicator in urban areas (Cord, A. F., Roeßiger, F., & Schwarz, N.,2015)[15]
Spatially explicit assessment on urban vitality(Zeng, C., Song, Y., He, Q., & Shen, F.,2018) [16]
Affective
Dimension
Exploring the role of urban design in cycling behaviors and healthy aging(Black, P., & Street, E., 2014) [17]
Urban Emotions–tools of integrating people’s perception into urban planning(Zeile, P., Resch, B., Dörrzapf, L., Exner, J. P., Sagl, G.,
Summa, A., & Sudmanns, M., 2015) [18]
Human-scale urban form: Measure, effect evaluation, and planning and design response (Long Y., Ye Y., 2016) [19]
Eye-tracking Analysis in Landscape Perception Research(Dupont, L., Antrop, M., & Van Eetvelde, V., 2014) [20]
Assessing affective experience of in-situ environmental walk via wearable biosensors (Chen, Z., Schulz, S., Qiu, M., Yang, W., He,
X., Wang, Z., & Yang, L.,2018) [21]
Spatial
Cognitive
Dimension
Revisiting image of the city in cyberspace: Analysis of spatial Twitter messages(Jiao, J., Holmes, M., & Griffin, G. P.,2018) [22]
Picture Urbanism: a new approach to the study of human-scale urban morphology (Long Y., Zhou G. 2017) [23]
Visualizing the perceived environment using crowdsourced photo geodata(Dunkel, A. 2015)[24]
METHOD

11. RESULTS & DISCUSSION
■ A . The Dimension of Participants Behavior Trajectory
11
Fig.3. Spatial distribution of POIs in the accessibility and livability domain[16]

12. RESULTS & DISCUSSION
Fig.4. Assessing the affective experience of the in-situ environmental walk via wearable biosensors for evidence-based design[21]
■ B. Affective Dimension of Spatial Participants

13. RESULTS & DISCUSSION
Fig.5. Revisiting image of the city in cyberspace: Analysis of spatial Twitter messages during a special event[22]
■ C. Spatial cognitive Dimensions of Participants

14. CONCLUSION
14
Contribution
▪ Systematically reviewed the new data and technologies in the past ten
years to quantify the vitality of urban public spaces
▪ Classification the quantitive methods from 3 dimensions
▪ Analyzed and discussed the advantages and limitations of quantitative
methods in different dimensions
Future research
▪ The utilize of new data and technologies for quantitative research on
fine-scale space

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