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A study about the pedestrian distribution in the commercial buildings  by the location of stores and the structure of t

Ref 8094. 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. Keywords

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A study about the pedestrian distribution in the commercial buildings  by the location of stores and the structure of t

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  1. Ref 8094 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 Keywords visibility graph analysis, commercial building, store floor areas, multiple regression analysis, models. Theme Modelling and Methodological Development

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

  3. The contents of my presentation 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

  4. 1. Introduction 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. 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. Fig,1 pedestrian space of lazona-kawasaki Fig,2 pedestrian space of lalaport-yokohama The purpose 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

  5. 1. Introduction 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. ・AfrozaParvin, Arlen Min Ye, BeisiJia (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 past researches related to 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

  6. The contents of my presentation 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. 2. Method 2.1. Study area 5F 4F 3F 2F 1F FIGURE3: Study area of commercial building A • 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

  8. 2. Method 9F 7F 6F 5F 4F 3F 2F 1F B1 B2 2.1. Study area FIGURE4: Study area of commercial building B • 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

  9. 2. Method 2.2. Summary of investigation and analysis method The actual amount of pedestrian distribution in Commercial building A was investigated in September and October, 2010. The Commercial building B was investigated in July, 2010. 1F 3F 5F FIGURE5: The connection in Depthmap. (Commercial building A) 4F 2F • 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

  10. The contents of my presentation 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

  11. 3. Actual Pedestrian distribution The investigation was conducted three times in each commercial building. • In the commercial building A 2010/9/12(Fine), 9/19(Fine), 10/9(Cloud) • In the commercial building B • 2010/7/11(Cloud), 7/25(Fine), 7/25(Fine) The result of plotting The population density per unit FIGURE5: The Calculation method of the population density(ex, 1F of commercial building A) • 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

  12. 3. Actual Pedestrian distribution Ave.0.073 0 0.366 1F 3F 5F 2F 4F FIGURE6: The result of the population density per unit(Commercial building A) • 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

  13. 3. Actual Pedestrian distribution Ave.0.081 0 0.35 B2 2F 5F B1 3F 6F 7F 1F 4F 9F FIGURE7: The result of the population density per unit(Commercial building B) • 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

  14. The contents of my presentation 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

  15. 4. Spatial analysis Indexes in this study Connectivity Clustering Coefficient Integration  The impact of the store The impact of the store FIGURE8: The Calculation method of the impact of the store at S • 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

  16. 4. Spatial analysis Ave.756 4 3452 Connectivity 1F 3F 5F 2F 4F FIGURE 8: The result of Connectivity of Visibility Graph Analysis(Commercial building A) • 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

  17. 4. Spatial analysis B2 2F 5F B1 3F 6F 7F 1F 4F 9F Ave.121 6 328 Connectivity FIGURE 9: The result of Connectivity of Visibility Graph Analysis(Commercial building B) • 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

  18. 4. Spatial analysis Ave.0.77 1 0.329 Clustering Coefficient 1F 3F 5F 2F 4F FIGURE 10: The result of Clustering Coefficient of Visibility Graph Analysis(Commercial building A) • 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

  19. 4. Spatial analysis B2 2F 5F B1 3F 6F 7F 1F 4F 9F Ave.0.762 1 0.344 Clustering Coefficient FIGURE 11: The result of Clustering Coefficient of Visibility Graph Analysis(Commercial building B) • 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

  20. 4. Spatial analysis Ave.4.65 1.82 9.11 Integration  1F 3F 5F 2F 4F FIGURE 12: The result of Integration of Visibility Graph Analysis(Commercial building A) • 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

  21. 4. Spatial analysis B2 2F 5F B1 3F 6F 7F 1F 4F 9F Ave.3.19 1.78 5.65 Integration  FIGURE 13: The result of Integration of Visibility Graph Analysis(Commercial building B) • 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

  22. 4. Spatial analysis The impact of the store Ave.4057 0 13345 1F 3F 5F 2F 4F FIGURE 14: The result of Store floor areas in Commercial building A(VSD = 1) • 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

  23. 4. Spatial analysis B2 2F 5F B1 3F 6F 7F 1F 4F 9F Ave.1142 0 2558 The impact of the store FIGURE 15: The result of Store floor areas in Commercial building B(VSD = 1) • 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

  24. The contents of my presentation 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

  25. 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 integration The difference from the main entrances The difference from the main entrances The impact of the store The population density per unit connectivity minVSD minVSD elevator elevator Clustering coefficient meanVSD meanVSD atrium atrium bench bench • 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

  26. 5. Multiple regression analysis TABLE1: The multiple correlation coefficient and contribution rate of each model (R: Multiple correlation coefficient, R²: Contribution rate) TABLE2: The result of analyzing the model of the commercial building A TABLE3: The result of analyzing the model of the commercial building B (USC: Unstandardized Coefficients, SC: Standardized Coefficients) • 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

  27. 5. Multiple regression analysis integration • integrity elevator clustering coefficient • retentivity bench connectivity The population density per unit • field of view atrium minVSD • connection with the entrances meanVSD The difference from the main entrances The impact of the store The impact of the store Intensification of the explaining variables • 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

  28. 5. Multiple regression analysis 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 • 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

  29. 5. Multiple regression analysis The model formulas Commercial building A 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＋0.039 (P = the population density per unit) Commercial building B P ＝2.484×10⁶⁻×impact of the store ＋ 0.896 × integrity ＋ 0.988 ×retentivity＋ 1.740× field of view＋ 0.638× connection with the entrances＋0.019 (P = the population density per unit) The intensity of the impact of each explaining variables Commercial building A "impact of the store"＞"field of view" ＞ "connection with the entrances" ＞ "integrity" ＞ "retentivity" Commercial building B "connection with the entrances"＞ "integrity" ＞ "field of view" ＞ "retentivity" ＞ "impact of the store" • 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

  30. The contents of my presentation 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

  31. 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. • Conclusion 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. The purpose 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

  32. Thank you very much for kind attention.

  33. m.fujitani1771@gmail.com

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