Measuring the Degree of Balance between Urban and Tourism Development: An Analytical Approach Using Cellular Data
This study presents an analytical approach for measuring the degree of balance between urban and tourism development, which has been previously analyzed qualitatively and was difficult to measure. With the help of 1012 million cellular data records generated by 20 million users in two weeks, we trac...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-08-01
|
Series: | Sustainability |
Subjects: | |
Online Access: | https://www.mdpi.com/2071-1050/13/17/9598 |
id |
doaj-9f727e02022f4535be301769062e46af |
---|---|
record_format |
Article |
spelling |
doaj-9f727e02022f4535be301769062e46af2021-09-09T13:57:39ZengMDPI AGSustainability2071-10502021-08-01139598959810.3390/su13179598Measuring the Degree of Balance between Urban and Tourism Development: An Analytical Approach Using Cellular DataCheng Shi0Mengyang Liu1Yu Ye2College of Architecture and Urban Planning, Tongji University, Shanghai 200092, ChinaSchool of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430073, ChinaCollege of Architecture and Urban Planning, Tongji University, Shanghai 200092, ChinaThis study presents an analytical approach for measuring the degree of balance between urban and tourism development, which has been previously analyzed qualitatively and was difficult to measure. With the help of 1012 million cellular data records generated by 20 million users in two weeks, we tracked the behavior of residents, commuters, and tourists at a set of historical conservation areas in central Shanghai. We calculated the degree of balance and visualized it via ternary graphs. Moreover, the relationships between key urban features derived from multi-sourced urban data and balanced degrees of tourism development were analyzed via multinomial logistic analysis. Insights gained from this analysis will help to achieve a more scientific decision-making process toward balanced urban development for historical conservation area. Achievements in this study contribute to the development of human-centered planning through providing continuous measurements of an “unmeasurable” quality.https://www.mdpi.com/2071-1050/13/17/9598balanced tourismcellular databuilt environmentmulti-sourced urban dataShanghai |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Cheng Shi Mengyang Liu Yu Ye |
spellingShingle |
Cheng Shi Mengyang Liu Yu Ye Measuring the Degree of Balance between Urban and Tourism Development: An Analytical Approach Using Cellular Data Sustainability balanced tourism cellular data built environment multi-sourced urban data Shanghai |
author_facet |
Cheng Shi Mengyang Liu Yu Ye |
author_sort |
Cheng Shi |
title |
Measuring the Degree of Balance between Urban and Tourism Development: An Analytical Approach Using Cellular Data |
title_short |
Measuring the Degree of Balance between Urban and Tourism Development: An Analytical Approach Using Cellular Data |
title_full |
Measuring the Degree of Balance between Urban and Tourism Development: An Analytical Approach Using Cellular Data |
title_fullStr |
Measuring the Degree of Balance between Urban and Tourism Development: An Analytical Approach Using Cellular Data |
title_full_unstemmed |
Measuring the Degree of Balance between Urban and Tourism Development: An Analytical Approach Using Cellular Data |
title_sort |
measuring the degree of balance between urban and tourism development: an analytical approach using cellular data |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2021-08-01 |
description |
This study presents an analytical approach for measuring the degree of balance between urban and tourism development, which has been previously analyzed qualitatively and was difficult to measure. With the help of 1012 million cellular data records generated by 20 million users in two weeks, we tracked the behavior of residents, commuters, and tourists at a set of historical conservation areas in central Shanghai. We calculated the degree of balance and visualized it via ternary graphs. Moreover, the relationships between key urban features derived from multi-sourced urban data and balanced degrees of tourism development were analyzed via multinomial logistic analysis. Insights gained from this analysis will help to achieve a more scientific decision-making process toward balanced urban development for historical conservation area. Achievements in this study contribute to the development of human-centered planning through providing continuous measurements of an “unmeasurable” quality. |
topic |
balanced tourism cellular data built environment multi-sourced urban data Shanghai |
url |
https://www.mdpi.com/2071-1050/13/17/9598 |
work_keys_str_mv |
AT chengshi measuringthedegreeofbalancebetweenurbanandtourismdevelopmentananalyticalapproachusingcellulardata AT mengyangliu measuringthedegreeofbalancebetweenurbanandtourismdevelopmentananalyticalapproachusingcellulardata AT yuye measuringthedegreeofbalancebetweenurbanandtourismdevelopmentananalyticalapproachusingcellulardata |
_version_ |
1717759319323181056 |