Temporal Characteristics of Waterfronts in Wuhan City and People’s Behavioral Preferences Based on Social Media Data

The appeal and vibrancy of urban waterfronts are catalysts for urban progress and sustainable urban development. This study aims to thoroughly explore the temporal characteristics of waterfront vibrancy and explore people’s behavioral preferences for various types of waterfronts at various...

Full description

Bibliographic Details
Main Authors: Jing Wu, Xirui Chen, Shulin Chen
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/11/22/6308
id doaj-eccab37407e44a37aa62c49238afb24c
record_format Article
spelling doaj-eccab37407e44a37aa62c49238afb24c2020-11-25T01:44:10ZengMDPI AGSustainability2071-10502019-11-011122630810.3390/su11226308su11226308Temporal Characteristics of Waterfronts in Wuhan City and People’s Behavioral Preferences Based on Social Media DataJing Wu0Xirui Chen1Shulin Chen2School of Urban Design, Wuhan University, Wuhan 430072, ChinaSchool of Urban Design, Wuhan University, Wuhan 430072, ChinaSchool of Urban Design, Wuhan University, Wuhan 430072, ChinaThe appeal and vibrancy of urban waterfronts are catalysts for urban progress and sustainable urban development. This study aims to thoroughly explore the temporal characteristics of waterfront vibrancy and explore people’s behavioral preferences for various types of waterfronts at various times. On the basis of social media data, this study uses the seasonal index analysis method to classify waterfronts. Then, the kernel density estimation was used to analyze the spatial structure of different types of waterfronts. Finally, temporally weighted regression was used to indicate people’s preferences for various types of waterfronts. In general, results show the different temporal characteristics of users in waterfronts at different times and their behavioral preferences for waterfronts as the reasons behind these preface characteristics. First, on weekdays, people tend to visit daily waterfronts close to residences, and people find it convenient to walk after 18:00 and engage in recreational activities dominated by consumption and exercise, which reach a peak at 22:00−24:00. Second, on weekends, people prefer the weekend waterfronts with complete entertainment facilities and cultural themes. The natural seasonal waterfronts with seasonal landscapes attract people in various seasons, such as spring and autumn, whereas the social seasonal waterfront may be more attractive during high seasons, especially in March and June, due to big water events or nearby colleges and universities. Therefore, the government should improve the facilities of various types of waterfronts to satisfy people’s preferences at different times and help in proposing targeted suggestions with reference to future city waterfront planning and space design, contributing to the waterfronts’ vitality improvement, urban features, and promotion of urban sustainable development.https://www.mdpi.com/2071-1050/11/22/6308urban waterfrontcheck-in datatemporal characteristictime-varying coefficientbehavioral preference
collection DOAJ
language English
format Article
sources DOAJ
author Jing Wu
Xirui Chen
Shulin Chen
spellingShingle Jing Wu
Xirui Chen
Shulin Chen
Temporal Characteristics of Waterfronts in Wuhan City and People’s Behavioral Preferences Based on Social Media Data
Sustainability
urban waterfront
check-in data
temporal characteristic
time-varying coefficient
behavioral preference
author_facet Jing Wu
Xirui Chen
Shulin Chen
author_sort Jing Wu
title Temporal Characteristics of Waterfronts in Wuhan City and People’s Behavioral Preferences Based on Social Media Data
title_short Temporal Characteristics of Waterfronts in Wuhan City and People’s Behavioral Preferences Based on Social Media Data
title_full Temporal Characteristics of Waterfronts in Wuhan City and People’s Behavioral Preferences Based on Social Media Data
title_fullStr Temporal Characteristics of Waterfronts in Wuhan City and People’s Behavioral Preferences Based on Social Media Data
title_full_unstemmed Temporal Characteristics of Waterfronts in Wuhan City and People’s Behavioral Preferences Based on Social Media Data
title_sort temporal characteristics of waterfronts in wuhan city and people’s behavioral preferences based on social media data
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2019-11-01
description The appeal and vibrancy of urban waterfronts are catalysts for urban progress and sustainable urban development. This study aims to thoroughly explore the temporal characteristics of waterfront vibrancy and explore people’s behavioral preferences for various types of waterfronts at various times. On the basis of social media data, this study uses the seasonal index analysis method to classify waterfronts. Then, the kernel density estimation was used to analyze the spatial structure of different types of waterfronts. Finally, temporally weighted regression was used to indicate people’s preferences for various types of waterfronts. In general, results show the different temporal characteristics of users in waterfronts at different times and their behavioral preferences for waterfronts as the reasons behind these preface characteristics. First, on weekdays, people tend to visit daily waterfronts close to residences, and people find it convenient to walk after 18:00 and engage in recreational activities dominated by consumption and exercise, which reach a peak at 22:00−24:00. Second, on weekends, people prefer the weekend waterfronts with complete entertainment facilities and cultural themes. The natural seasonal waterfronts with seasonal landscapes attract people in various seasons, such as spring and autumn, whereas the social seasonal waterfront may be more attractive during high seasons, especially in March and June, due to big water events or nearby colleges and universities. Therefore, the government should improve the facilities of various types of waterfronts to satisfy people’s preferences at different times and help in proposing targeted suggestions with reference to future city waterfront planning and space design, contributing to the waterfronts’ vitality improvement, urban features, and promotion of urban sustainable development.
topic urban waterfront
check-in data
temporal characteristic
time-varying coefficient
behavioral preference
url https://www.mdpi.com/2071-1050/11/22/6308
work_keys_str_mv AT jingwu temporalcharacteristicsofwaterfrontsinwuhancityandpeoplesbehavioralpreferencesbasedonsocialmediadata
AT xiruichen temporalcharacteristicsofwaterfrontsinwuhancityandpeoplesbehavioralpreferencesbasedonsocialmediadata
AT shulinchen temporalcharacteristicsofwaterfrontsinwuhancityandpeoplesbehavioralpreferencesbasedonsocialmediadata
_version_ 1725029442692055040