A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO Ref 8094 Keywords visibility graph analysis, commercial building, store floor areas, multiple regression analysis, models. Theme Modelling and Methodological Development 1

The contents of my presentation 1. Introduction 2. Method 3. Actual Pedestrian distribution 4. Spatial analysis 5. Multiple regression analysis 6. Conclusion I show a background and the purpose of the study and explain the usefulness of this study. I explain method of the study and how to lead studies. I obtain the data of the purpose variable and explanation variable in the case of a multiple regression analysis. I compare the real pedestrian distribution with space characteristic and the store placement of commercial buildings and make a pedestrian distribution model. I show the conclusion of this study. A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO 2

The contents of my presentation 3 1. Introduction 2. Method 3. Actual Pedestrian distribution 4. Spatial analysis 5. Multiple regression analysis 6. Conclusion A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO

There are pedestrian space and an open space in the commercial facilities, but there is little technique to estimate pedestrian distribution of those space. In addition, there are few things clarifying the difference in pedestrian action by the space structure of commercial facilities. Fig,1 pedestrian space of lazona-kawasaki 1. Introduction Fig,2 pedestrian space of lalaport-yokohama 4 A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO It is to make calculable models to the amount of the people in the commercial buildings where configuration of the space is related to the sales. And, it is to consider the characteristics of pedestrian behavior in the commercial buildings. The purpose of this study

1. Introduction 5 A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO The features of this study This study investigated in two types of commercial building forms. This study considered the floor size of shops as influences of shops. The past researches related to this study ・ Afroza Parvin, Arlen Min Ye, Beisi Jia (2007) MULTILEVEL PEDESTIAN MOVEMENT: does visibility make any difference? ・ An Eun-Hee,Lee Kyung-Hoon(2003) Importance of wayfinding performance as an evaluation criteria for the design of large-scale shopping center

The contents of my presentation 6 1. Introduction 2. Method 3. Actual Pedestrian distribution 4. Spatial analysis 5. Multiple regression analysis 6. Conclusion A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO

7 A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO 2. Method 2.1. Study area 1F 2F 3F 4F 5F FIGURE3: Study area of commercial building A

8 A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO B2 B1 1F 2F 3F 4F 5F 6F 7F 9F 2. Method 2.1. Study area FIGURE4: Study area of commercial building B

9 A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO 2.2. Summary of investigation and analysis method 2. Method The actual amount of pedestrian distribution in Commercial building A was investigated in September and October, The Commercial building B was investigated in July, F 2F 3F 4F 5F FIGURE5: The connection in Depthmap. (Commercial building A)

The contents of my presentation Introduction 2. Method 3. Actual Pedestrian distribution 4. Spatial analysis 5. Multiple regression analysis 6. Conclusion A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO

11 A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO 3. Actual Pedestrian distribution The investigation was conducted three times in each commercial building. 2010/9/12(Fine), 9/19(Fine), 10/9(Cloud) In the commercial building A In the commercial building B 2010/7/11(Cloud), 7/25(Fine), 7/25(Fine) FIGURE5: The Calculation method of the population density(ex, 1F of commercial building A) The population density per unit The result of plotting

12 A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO 1F 2F 3F 4F 5F Ave Actual Pedestrian distribution FIGURE6: The result of the population density per unit (Commercial building A)

13 A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO 3. Actual Pedestrian distribution FIGURE7: The result of the population density per unit (Commercial building B) B2 B1 1F 2F 3F 4F 5F 6F 7F 9F Ave

The contents of my presentation Introduction 2. Method 3. Actual Pedestrian distribution 4. Spatial analysis 5. Multiple regression analysis 6. Conclusion A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO

15 A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO 4. Spatial analysis FIGURE8: The Calculation method of the impact of the store at S Indexes in this study The impact of the storeConnectivityClustering CoefficientIntegration The impact of the store

16 A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO 4. Spatial analysis Connectivity 1F 2F 3F 4F 5F FIGURE 8: The result of Connectivity of Visibility Graph Analysis(Commercial building A) Ave.756

17 A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO Connectivity FIGURE 9: The result of Connectivity of Visibility Graph Analysis(Commercial building B) B2 B1 1F 2F 3F 4F 5F 6F 7F 9F 6328 Ave Spatial analysis

Clustering Coefficient 18 A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO FIGURE 10: The result of Clustering Coefficient of Visibility Graph Analysis(Commercial building A) 4. Spatial analysis 1F 2F 3F 4F 5F Ave.0.77

19 A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO Clustering Coefficient FIGURE 11: The result of Clustering Coefficient of Visibility Graph Analysis(Commercial building B) 4. Spatial analysis Ave B2 B1 1F 2F 3F 4F 5F 6F 7F 9F

20 A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO FIGURE 12: The result of Integration of Visibility Graph Analysis(Commercial building A) 4. Spatial analysis 1F 2F 3F 4F 5F Integration Ave.4.65

21 A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO FIGURE 13: The result of Integration of Visibility Graph Analysis(Commercial building B) Integration 4. Spatial analysis B2 B1 1F 2F 3F 4F 5F 6F 7F 9F Ave.3.19

22 A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO The impact of the store 4. Spatial analysis FIGURE 14: The result of Store floor areas in Commercial building A(VSD = 1) 1F 2F 3F 4F 5F Ave.4057

23 A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO The impact of the store 4. Spatial analysis FIGURE 15: The result of Store floor areas in Commercial building B(VSD = 1) B2 B1 1F 2F 3F 4F 5F 6F 7F 9F Ave.1142

The contents of my presentation Introduction 2. Method 3. Actual Pedestrian distribution 4. Spatial analysis 5. Multiple regression analysis 6. Conclusion A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO

25 A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO 5. Multiple regression analysis The result of Spatial analysis The result of actual Pedestrian distribution The models of pedestrian distribution The purpose variable The explaining variable The population density per unit integration connectivity Clustering coefficient minVSD meanVSD The difference from the main entrances elevator atrium bench The impact of the store minVSD meanVSD The difference from the main entrances elevator atrium bench

26 A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO RR2adjusted R 2 the commercial building A the commercial building B Multiple regression analysis TABLE1: The multiple correlation coefficient and contribution rate of each model (R: Multiple correlation coefficient, R²: Contribution rate) USCSCT-value P- value connectivity ×10 ⁵⁻ clustering coefficient integration difference from the main entrances impact of the store 7.152×10 ⁶⁻ min. VSD mean VSD atrium elevator bench USCSCT-value P- value connectivity clustering coefficient integration difference from the main entrances impact of the store 2.635×10 ⁵⁻ min. VSD mean VSD atrium elevator bench (USC: Unstandardized Coefficients, SC: Standardized Coefficients) TABLE2: The result of analyzing the model of the commercial building A TABLE3: The result of analyzing the model of the commercial building B

27 A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO 5. Multiple regression analysis integration integrity retentivity field of view The impact of the store connection with the entrances elevator clustering coefficient bench atrium connectivity minVSD meanVSD The difference from the main entrances The impact of the store The population density per unit Intensification of the explaining variables

28 A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO 5. Multiple regression analysis RR2adjusted R 2 the commercial building A the commercial building B USCSCT-valueP-value impact of the store 7.681×10 ⁶⁻ integrity retentivity field of view 1.51×10 ⁵⁻ connection with the entrances USCSCT-valueP-value impact of the store 2.484×10 ⁶⁻ integrity retentivity field of view connection with the entrances TABLE4: The multiple correlation coefficient and contribution rate of each model after intensification TABLE5: The result of analyzing the model of the commercial building A after intensification TABLE6: The result of analyzing the model of the commercial building B after intensification

29 A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO P ＝ 7.681×10⁶⁻×impact of the store － 0.005×integrity － 0.008×retentivity ＋ 1.51×10⁵⁻×field of view － 0.001×connection with the entrances ＋ The model formulas 5. Multiple regression analysis Commercial building A Commercial building B P ＝ 2.484×10⁶⁻×impact of the store ＋ × integrity ＋ × retentivity ＋ 1.740× field of view ＋ 0.638× connection with the entrances ＋ (P = the population density per unit) The intensity of the impact of each explaining variables Commercial building A Commercial building B "impact of the store" ＞ "field of view" ＞ "connection with the entrances" ＞ "integrity" ＞ "retentivity" "connection with the entrances" ＞ "integrity" ＞ "field of view" ＞ "retentivity" ＞ "impact of the store"

The contents of my presentation Introduction 2. Method 3. Actual Pedestrian distribution 4. Spatial analysis 5. Multiple regression analysis 6. Conclusion A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO

31 A study about the pedestrian distribution in the commercial buildings by the location of stores and the structure of the walking space Masaya FUJITANI, Tatsuya KISHIMOTO 6. Conclusion It is to make calculable models to the amount of the people in the commercial buildings where configuration of the space is related to the sales. And, it is to consider the characteristics of pedestrian behavior in the commercial buildings. The purpose of this study I made models of the pedestrian distribution in commercial buildings. And, I was able to make it with five variables. The feature of the people's behavior was become clear in the commercial buildings by making the models separately by the types of building forms. Conclusion

32 Thank you very much for kind attention.

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