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Table 4 Ranking of scores of change. The top fifteen highest scores are dominated by Types 1 (commute to work/school) and 9 (leisure) activities only, which confirms the abrupt nature of the changes in the two types of trip activities

From: Detecting and understanding urban changes through decomposing the numbers of visitors’ arrivals using human mobility data

Rank

Score of change

Activity type

Station ID

Characteristic of the area

Date

Reason for the change

1

3.439454972

1

Station A

Universities and high schools

2014-07-13

Ending of semester

2

3.081841026

1

Station B

Universities and high schools

2013-07-23

Ending of semester

3

3.041180957

1

Station C

Universities and high schools

2014-07-18

Ending of semester

4

2.874711479

1

Station A

Universities and high schools

2013-07-16

Ending of semester

5

2.829092656

1

Station D

Universities and high schools

2014-07-22

Ending of semester

6

2.788287796

1

Station E

Universities and high schools

2013-07-14

Ending of semester

7

2.756890751

9

Station F

Shopping center

2014-03-11

Extension of a shopping center

8

2.737122907

1

Station E

Universities and high schools

2014-09-03

Beginning of semester

9

2.724598206

1

Station G

Universities and high schools

2014-09-03

Beginning of semester

10

2.717382240

1

Station H

Universities and high schools

2014-08-28

Beginning of semester

11

2.653081428

1

Station B

Universities and high schools

2014-07-27

Ending of semester

12

2.503246179

9

Station I

Shopping center

2014-03-15

Opening of a shopping center

13

2.366644053

1

Station C

Universities and high schools

2013-07-16

Ending of semester

14

2.341568280

1

Station D

Universities and high schools

2013-07-20

Ending of semester

15

2.196827999

1

Station E

Universities and high schools

2014-07-12

Ending of semester