Skip to main content

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