People Flow in Buildings

People Flow in Buildings
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Discover how to measure, control, model, and plan people flow within modern buildings with this one-stop resource from a leading professional  People Flow in Buildings  delivers a comprehensive and insightful description of people flow, analysis with software-based tools. The book offers readers an up-to-date overview of mathematical optimization methods used in control systems and transportation planning methods used to manage vertical and horizontal transportation.  The text offers a starting point for selecting the optimal transportation equipment for new buildings and those being modernized. It provides insight into making passenger journeys pleasant and smooth, while providing readers with an examination of how modern trends in building usage, like increasingly tall buildings and COVID-19, effect people flow planning in buildings.  People Flow in Buildings  clearly defines the terms and symbols it includes and then moves on to deal with the measurement, control, modelling, and planning of people flow within buildings of all kinds. Each chapter contains an introduction describing its contents and the background of the subject. Included appendices describe measured passenger data and performed analyses.  Readers will also benefit from the inclusion of:  A thorough introduction to people-counting methods, including counting technology inside and outside buildings, passenger traffic components, and manual people-counting An examination of the passenger arrival process in building, including the Poisson arrival process and probability density function, and passenger arrivals in batches A consideration of daily vertical passenger traffic profiles, including two-way traffic profiles and the effects of inter-floor traffic An exploration of people flow solutions, including stairs, escalators, and elevators with collective and destination group control systems, as well as double-deck and multicar system People flow calculation and simulation models Elevator planning with ISO simulation method Elevator planning and evacuation of tall buildings Perfect for software designers in the private sector and academia,  People Flow in Buildings  will also earn a place in the libraries of elevator consultants, manufacturers, and architects who seek a one-stop reference for transportation devices from a functional and design perspective, as opposed to a hardware perspective.

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Marja-Liisa Siikonen. People Flow in Buildings

Table of Contents

List of Tables

List of Illustrations

Guide

Pages

People Flow in Buildings

Preface

Symbols and Abbreviations

Scope of the Book

1 Building Design Population

1.1 Office Building Population

Example 1.1 Consider an office building with 14 floors and NIA of 400 m 2 . Define the design population, U, when workplace area per person is 8 m2 /person. Utilization factor is 0.8, and NIA is 90% of GIA. How big is floor GIA?

Example 1.2 How many inhabitants can be estimated to fit a standard residential building with 10 floors from the floor layout of Figure 1.3, according to the ISO‐method shown in Table 1.1, and the rule of thumb

1.2 Number of Inhabitants in Residential Buildings

1.3 Number of Hotel Guests

1.4 People Arriving from Parking Areas

1.5 Population in Hospitals

1.6 Other Types of Populated Buildings

2 People Counting Methods

2.1 Counting Technology Inside and Outside Buildings

2.2 Passenger Traffic Components

2.3 Manual People‐counting

2.4 Use of Optical Vision

2.5 Visitor‐counting with Photocell Signals and Infra‐red Beams

2.6 People‐counting with Access Control System

2.7 Passenger‐counting by Load‐weighing Device

2.8 Elevator Monitoring Systems

2.9 External Traffic Measurement Devices

2.10 Smart Sensing and Mobile Computing

Example 2.1 Figure 2.6 shows the elevator load during an elevator stop. Let us assume car arrival load is 90 kg, minimum load is 10 kg, and departure load 75 kg. How many passenger transfers, P, during a stop are counted when using the three above mentioned, load‐based passenger counting methods

3 Passenger Arrival Process in Buildings. 3.1 Introduction

3.2 Poisson Arrival Process. 3.2.1 Probability Density Function

3.2.2 Example of Passenger Arrivals Through Security Cages

3.3 Passenger Arrivals in Batches. 3.3.1 Batch Arrivals in Elevator Lobbies

3.3.2 Batch Arrivals in Escalators

3.3.3 Observed Batch Sizes in Several Building Types

3.3.4 Batch Size Variation in Elevator Lobbies During the Day

3.3.5 Modelling of Batch Size Distribution

4 Daily Vertical Passenger Traffic Profiles. 4.1 Introduction

4.2 Vertical Building Traffic Components

4.3 Two‐Way Traffic and Effect of Measurement Interval

4.4 Effect of Inter‐Floor Traffic

4.5 Occupancy in Buildings

4.6 Passenger Trips with Elevators

Example 4.1 In 2018, how many passengers, Nele, did the elevators transport in Europe? According to European Lift Association (ELA), in 2018 there were 6 155 178 elevators in operation in Europe (Gemici‐Loukas 2019)

4.7 People Flow in Office Buildings. 4.7.1 Traffic in Offices

4.7.2 Observed Daily Two‐Way Traffic Profiles

4.7.3 Daily Traffic Profiles with Inter‐Floor Traffic

4.8 People Flow in Hotels. 4.8.1 Traffic in Hotels

4.8.2 Daily Traffic Profiles in Hotels

4.9 People Flow in Residential Buildings. 4.9.1 Traffic in Residential Buildings

4.9.2 Traffic Profiles in Residential Buildings

4.10 People Flow Profiles in Hospitals. 4.10.1 Hospital Traffic

4.10.2 Daily Traffic in Hospitals

4.11 People Flow in Commercial and Public Buildings. 4.11.1 Traffic in Commercial and Public Buildings

Example 4.2 In 2018, how many passengers, Nesc, did the escalators transport in Europe? According to ELA, there were 149 354 escalators in operation in Europe in 2018 (Gemici‐Loukas 2019)

4.11.2 Daily People Flow in Escalators

4.11.3 Daily People Flow in Elevators in Shopping Centres

4.11.4 Duration of a Visit in a Shopping Centre

4.11.5 People Flow by GPS in Public Buildings

4.12 People Flow on Cruise Ships. 4.12.1 Traffic in Cruisers

4.12.2 Daily Traffic Profiles for Typical Days

5 Monitored Elevator Traffic Data. 5.1 Introduction

5.2 Service Quality Parameters

5.3 Measured Passenger Service Level. 5.3.1 Measured Passenger Traffic with External Device

5.3.2 Call Time Distribution

5.3.3 Waiting Time Distribution with Destination Control

5.3.4 Monthly Service Times

5.4 Measured Elevator Performance. 5.4.1 Number of Starts During a Month

Example 5.1 Calculate the number of annual starts for the five buildings referred to in Table 5.3 assuming the monitored monthly traffic repeats the same during the 360 elevator operating days a year

5.4.2 Correlation Between Cycle Time and Round Trip Time

6 Historical Overview

7 Push‐Button Control Systems. 7.1 Signal Operation

7.2 Single‐Button Collective Control

7.3 Down Collective Control

7.4 Interconnected Full Collective Control Principle

8 Collective Group Control System. 8.1 Software‐Based Collective Control System

8.2 Bunching

8.3 Next Car Up

8.4 Dynamic Sub‐zoning

8.5 Channelling

8.6 Queue Selective Control System

9 Intelligent Group Control Systems

9.1 Performance Requirements

Example 9.1

Example 9.2

9.2 Control System Architectures

10 Artificial Intelligence in Elevator Dispatching. 10.1 Introduction

10.2 AI Architectures

Example 10.1 An example of intelligent control

Example 10.2 Apply fuzzy rules in multi‐objective optimization

10.3 Traffic Forecasting

Example 10.3 Use the SMA and EMA methods to forecast the passenger traffic from the five weeks’ data. Use α = 0.5, and assume the measured data values of Xi = 1, 2, 3, 4, and 5 passengers for time intervals i = 0, 1, …, 4

10.4 Fuzzy Logic

Example 10.4 Define the traffic type with fuzzy rules from the measured passenger traffic

Example 10.5 Apply fuzzy rules for instantaneous car assignment

10.5 Genetic Algorithm

Example 10.6 How GA is used in allocating hall calls to elevators

10.6 Neural Networks

Example 10.7 The use of a single layer NN to improve elevator dispatching

Example 10.8 Utilization of MLP in elevator dispatching

10.7 Optimization Objective Functions

10.8 Elevator Lobby with Collective Control System

10.9 Hospital Service Modes

11 Destination Control System

11.1 Adaptive Call Allocation Algorithm

11.2 Destination Control System

11.3 Hybrid Destination Control System

11.4 ‘Harmonized’ Elevator Dispatching

11.5 Elevator Lobby with Destination Control System

12 Multi‐Car Control Systems. 12.1 Introduction

12.2 Paternoster

12.3 Odyssey

12.4 Double‐Deck Elevators. 12.4.1 Functional Principle of Double‐Deck Elevators

12.4.2 Conventional Double‐Deck Control

12.4.3 Double‐Deck Destination Control

12.4.4 Harmonized Dispatching for Double‐Deck Elevators

12.5 TWIN

12.6 MULTI

Example 12.1 Assume that MCE moves in the shaft the same way as in paternosters with 30‐second time intervals. How many cabins are needed if the round trip time of one cabin is 210s?

12.7 Other Possible Multi‐Car Elevator Control Systems

13 Access Control Systems. 13.1 Application Areas

13.2 Access Control by an External Provider

13.3 Access Control Embedded in an Elevator Control

14 Architectural Considerations of Elevators. 14.1 Layouts with Conventional Control

14.2 Layouts with Destination Control System

14.3 Dimensions of Passenger Elevators

14.4 Vertical Elevator Dimensions

14.5 Lobby Arrangement with Double‐Deck Elevators

15 Architectural Considerations of Other People Flow Solutions. 15.1 Escalator Arrangements

15.2 Horizontal Escalator Dimensions

15.3 Vertical Escalator Dimensions

15.4 Dimensions of Moving Walkways

15.5 Staircase Dimensions

15.6 Building Door Types

16 Introduction

17 Elevator Traffic Calculation Methods. 17.1 Elevator Performance Parameters

17.2 Elevator Handling Capacity Equation

17.3 Elevator Kinematics. 17.3.1 Elevator Rated Speed

17.3.2 Flight Time Calculation

17.4 Up‐Peak Round Trip Time Equations

17.4.1 Uniform Passenger Arrivals

Example 17.1

17.4.2 Poisson Arrival Process

Example 17.2

17.4.3 Uniform Arrival Process for r‐Floor Elevator Jumps

Example 17.3

17.4.4 Poisson Arrival Process for r‐Floor Elevator Jumps

Example 17.4

17.4.5 Uniform Arrival Process for Elevator Jumps Between Floor Pairs

17.4.6 Poisson Arrival Process for Elevator Jumps Between Floor Pairs

17.4.7 A Generalized Round Trip Time Formula

17.5 Round Trip Time‐Related Equations. 17.5.1 Shuttle Elevators

17.5.2 Express Zones

Example 17.5

17.5.3 Dynamic Zoning in Up‐peak

17.5.4 Unsymmetric Elevator Groups

Example 17.6

17.5.5 Multiple Entrance Floors

Example 17.7

17.5.6 Two‐Way Traffic

Example 17.8

17.6 Multi‐Car Traffic Analysis. 17.6.1 Paternoster Performance

Example 17.9

17.6.2 Double‐Deck Performance

17.6.3 Number of MULTI Cabins and Shafts

17.7 Egress Time with Elevators

18 Passenger Service Level. 18.1 Queuing Theoretical Approach

18.1.1 Waiting Times

Example 18.1

18.1.2 Transit Times

Example 18.2

18.1.3 Journey Time

18.2 Queuing at Hot Spots

19 Pedestrian Traffic

19.1 People Flow Density. 19.1.1 Level of Service

19.1.2 Human Body Size

19.1.3 Passenger Characteristics

19.1.4 Passenger Space Demand in Elevators

19.2 Escalator Handling Capacity

Example 19.1

19.3 Handling Capacity of Moving Walkways

19.4 People Flow in Walkways

19.5 People Flow in Staircases

19.6 People Flow in Corridors and Doorways

19.7 Handling Capacities of Turnstiles and Ticket Counters

19.8 Number of Destination Operation Panels

20 Introduction

21 Traffic Simulation Methods. 21.1 Monte Carlo Simulation

21.2 Passenger Traffic Generation

21.3 Traffic Simulation of an Elevator Group

21.4 Building Traffic Simulation

21.5 People Flow Simulation. 21.5.1 Simulation Software Architecture

21.5.2 Passenger Routing Model

22 Simulation Procedure. 22.1 Simulated Handling Capacity

22.2 Initial Transient

22.3 Stepwise or Ramp Arrival Profiles

22.4 Traffic Patterns. 22.4.1 Introduction

22.4.2 Office Traffic Templates

22.4.3 Hotel Traffic Templates

22.4.4 Traffic Templates of Residential Buildings

23 Validation of Elevator Traffic Simulation Software. 23.1 Introduction

23.2 Verification of Simulator Models

Example 23.1

Example 23.2

Example 23.3

23.3 Validation of the Elevator Traffic Simulator

Example 23.4

24 Simulated Elevator Performance and Passenger Service Level

24.1 Introduction

24.2 Up‐Peak Boosting. 24.2.1 Traffic Boosting with Destination Control

24.2.2 Boosting with Double‐Deck System

24.2.3 Effect of Elevator Group Size

Example 24.1

24.3 Traffic Simulations with Diverse Control Systems

24.3.1 Simulation Setup for an Example Building

24.3.2 Conventional Control with Single‐Car Elevator System

Example 24.2

24.3.3 Destination Control with Single‐Car Elevator System

24.3.4 Conventional Control Double‐Deck System

24.3.5 Destination Control Double‐Deck System

24.4 Comparison Handling Capacities

24.5 Service Time Distributions with Conventional System

Example 24-3

25 Introduction

26 ISO 8100‐32. 26.1 Background

26.2 Design Process

26.3 ISO Calculation Method

26.4 ISO Simulation Method

26.5 Selection of Rated Load Based on Mass

Example 26.1

26.6 Selection of Rated Load Based on Area and Mass

Example 26.2

27 Design Criteria

27.1 ISO 8100‐32 Design Criteria

Example 27.1

Example 27.2

27.2 BCO Design Criteria for Offices

Example 27.3

27.3 Other Design Criteria

28 Elevatoring Low‐ and Mid‐Rise Buildings. 28.1 Offices

28.2 Hotels

28.3 Residential Buildings

28.4 Hospitals

28.5 Parking Areas

29 People Transportation in Commercial and Public Buildings. 29.1 Mass Transits

29.2 Public Transportation Buildings

29.3 Commercial Buildings

29.4 Observation Decks

Example 29.1

30 Elevatoring Tall Buildings. 30.1 Background

30.2 Zoning of Super Tall Buildings

30.3 Example Zonings of a Super Tall Building

30.4 Zoning from the Ground. 30.4.1 ISO Simulation Method for Zoned Arrangements

30.4.2 Selected Elevator Group Lobby Layouts

30.4.3 Main Entrance Core Areas

30.5 Sky Lobby Arrangement. 30.5.1 Double‐Deck Shuttle Elevators

30.5.2 Multi‐Car Shuttle Elevators

Example 30.1

30.5.3 ISO Simulation Method for Sky Lobby Arrangements

30.5.4 Selected Elevator Group Lobby Layouts

30.5.5 Main Entrance Core Areas for Sky Lobby Arrangements

30.6 Core Space of Different Arrangements

31 Building Evacuation. 31.1 Introduction

31.2 Egress Time Calculation in Building Design. 31.2.1 Background

31.2.2 Egress by Stairs

Example 31.1

31.2.3 Egress by Elevators

31.3 Generic Emergency Evacuation Types. 31.3.1 Non‐fire Emergency Evacuation

31.3.2 Fire Evacuation Modes

31.4 Total Evacuation

31.5 Staged Evacuation

31.6 Fractional Evacuation

31.6.1 Lifeboat

31.6.2 Refuge Floors

31.6.3 Scenario Configuration from BMS

31.7 Elevator Evacuation‐related Standards and Guidelines. 31.7.1 Evacuation Elevator Requirements

31.7.2 Firefighters Lifts – EN 81‐72:2015

31.7.3 Evacuation of Disabled Persons Using Lifts – CEN/TS 81‐76:2011

31.7.4 Occupant Evacuation Operation – ASME A17.1:2013

31.7.5 Elevators Used to Assist in Building Evacuation – ISO/TS 18870:2014

31.8 Evacuation Strategies of Megatall Buildings. 31.8.1 Introduction

31.8.2 Jeddah Tower

31.8.3 Shanghai Tower

31.8.4 Royal Clock Tower, Makkah

31.8.5 One World Trade Center, New York

32 How High Can We Go?

Epilogue

Glossary

Appendix

Bibliography

Index. a

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Marja‐Liisa Siikonen

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The final Part V concentrates on planning transportation devices for tall and complex buildings. It describes the new ISO 8100‐32 standard, and the way to apply it. The design of elevators in different types of buildings is shown with examples. Elevator area and space demand with different elevator solutions are compared. After the attack on the World Trade Center on 11 September 2001, people flow planning started also to concentrate on safe transportation of passengers during emergency situations. Real buildings are used to illustrate evacuation scenarios of super tall building projects.

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