Speed of Escalators in MTR Station & Pace of Life

GEUC 4011 Senior Seminar

Group 95

Background

Speed of Escalators in MTR Station

• Technical ways
• In-depth Interview

• speed of escalators in the metro station
• pace of life
• regression model

Pace of life: The pace of life has been defined as the rate ; speed and “relative rapidity or density of experiences, meanings, perceptions and activities”.

-Economic index:

GDP

-Climate index:

Yearly average temperature

Yearly average humidity

-Working time index:

Average time of journey to work

Numbers of working hours per week

-Population index

Population density

Economic index & Climate index is proved in “The Pace of Life in 31 Countries”.

• Economic vitality: The more vital a city’s economy, the faster its pace of life.
• Climate: Hotter places are slower.

Population index (Population density)

• Hoch’s(1976) : Population density of large cities drives up the prices of land and other goods. These economic demands require that people use their time more efficiently so that greater economic value is assigned to people’s time, which, in turn, leads to a faster pace of life.

Subjects ( 13 cities)

Survey

• Measure height(H) and width(W) of the escalators;
• Measure time(T) of escalators from bottom to top;
• Calculate the speed.

All the Abs of the Correlation are Less than 0.5.

P value < 0.025, Reject Null Hypothesis.

In the model, the escalator speed index is reasonably log linearly related to the pace of life of index. So it is obviously there exists a positive related relationship between them

Limitation of Technical Ways

Q&A

Analysis

From In-depth Interview

Perspective:

Local :OK

Most Non-local: Too Fast

Why?

- Different Background

- Different attitude towards their jobs

From Data and Regression Model

Analysis

3. Low Pace of Life Index in Mainland City

Special case in mainland:

-"Insider" and "Outsider" of the system

2. Developing countries VS Developed countries

From Data and Regression Model

Analysis

We believe the conclusion holds.

Analysis

The impact of the Hong Kong MTR Escalator

From Data and Regression Model

Ordinary Phenomenon in Hong Kong

Perspective:

Local :OK

Most Non-local: Too Fast

1. Outlier -- New York City

- Since 1868

- Only escalators at transit stations

- Not a preferred choice for transportation

Analysis

Conclusion

Analysis

The impact of the Hong Kong MTR Escalator

1. Efficiency of the Whole Society

-

- Analysis and Conclusion

- The Impact of the Hong Kong MTR Escalators

There exists a relation between the speed of escalators in MTR station and the pace of life.

The faster pace of life, the faster the speed of escalators in the MTR station.

High Speed Escalators

Main Transportation

The time spent on transportation for Hong Kong people

The efficiency of the whole sociey

The efficiency of Hong Kong people

Analysis

2. Demonstration Effect

The impact of the Hong Kong MTR Escalator

Urban Planning, Transportation System

Hong Kong is the role model for most major cities in mainland.

Technical Ways

Pace of life

Technical Ways

Working time index

Method

Data Collection

Technical Ways

In-depth Interview

Methodology

Method

Data Collection

Document Review

- Index (e.g. GDP, Population density)

- Speed of escalators in the metro station

Hypothesis:

Method

Data Collection

The faster the pace of life, the higher the speed of escalators of MTR stations.

Method

Data Collection

Survey

Document Review

In-depth Interview

Method

• Singapore
• Seoul
• New York City
• Sydney
• London
• Stockholm
• Prague

In-depth Interview

• Hong Kong
• Beijing
• Shanghai
• Guangzhou
• Chengdu
• Shenzhen

( +1)

Coefficient

NYC

Speed of Escalators in Metro Station

C

Coefficient

Working people in Hong Kong

4 Mainland People, 3 Foreigners & 5 Local People

Goodness of Fit

Y=1.575LN(X+1)+0.446

Data Analysis

Pace of Life Index Model Validation

Correlation Analysis

Test on Regression Model

Significance Level = 0.05

• R Test
• t Test
• F Test

R Test

R=0.850 > 0.576,so it is said that two variable is obviously linearly related at the significance level 5%.

t Test

Working Time Index

Null Hypothesis: βk=0

Alternative Hypothesis: k β≠0

F Test

F

Population Index

P-value=0.001<0.025, so the regression model has statistical significance.

Data Analysis

Climate Index

Economics Index

Agenda

Z-Score Normalization

Index of Pace of Life

Speed of Escalators in Metro Station

Pace of Life

• Data Analysis
• Limitation of Technical Ways
• In-depth Interview
• Analysis
• Q&A

Data Analysis Result

Interview

Example 1

Example 2

Age：20-25

Gender: M

Working area: Admiralty

Living area: University

Working industry: Finance

Special characteristic: Mainland students

Age：: 20-25

Gender: F

Working area: Causeway Bay

Living area: Shatin

Working industry: Business

Special characteristic: Local

"The two index are correlated."

"Hong Kong people are used to the fast."

"Three main reasons why the pace of life in Hong Kong is fast."

Speed of Escalators in MTR Station & Pace of Life

Interview

Example 3

Example 4

Age：: Early 30s

Gender: M

Working area: Nam Cheong

Living area: Shatin

Working industry: Logistics

Special characteristic: American

Age：: 30-35

Gender: F

Working area: University

Living area: Ma On Shan

Working industry: Education

Special characteristic: Professor from Korea

Limitation of Technical Ways

Acceptability of Escalators

• Resistance towards new things
• Fear of accidents

"Hong Kong is a really crowded and fast place!"

"Seoul is faster than Hong Kong."

Oct. 19 , 2012

LIN YU,Adam

LU XING, Journey

ZHANG ZHAN, Jane

ZHANG ZHUQI, Elaine

Limitation of Technical Ways

• Sample size
• Construction Time
• Daily Ridership
• Government Policies & Regulations
• Acceptability of Escalators

Limitation of Technical Ways

Government Policies & Regulations

Construction Time

Technology

Sample size

• More escalator accidents happened
• Safety concern
• Security mechanism power

• Limitation of time and power
• Avoid by city selection
• Further study

Limitation of Technical Ways

Daily Ridership

Daily Ridership

Utilization rate of subway

Public transportation system