Study on the Accessibility and Recreational Development Potential of Lakeside Areas Based on Bike-Sharing Big Data Taking Wuhan City as an Example
Accessibility is an important factor in measuring the recreational development potential of Wuhan lakeside areas where people like bike-sharing services for leisure. By using bike-sharing big data, this paper visualizes the spatiotemporal distribution characteristics and depicts the free flows of OD...
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Veröffentlicht in: | Sustainability 2020-01, Vol.12 (1), p.160 |
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description | Accessibility is an important factor in measuring the recreational development potential of Wuhan lakeside areas where people like bike-sharing services for leisure. By using bike-sharing big data, this paper visualizes the spatiotemporal distribution characteristics and depicts the free flows of OD (Original Points and Destination Points) points of the bike-sharing activities taking place within 4 km of 21 lakes in the Wuhan Third Ring Road on an important holiday. Based on these distribution laws, statistics and spatial measurement are used to measure and compare the theoretical accessibility and actual accessibility of these lakeside areas at different grid scales in order to estimate the recreational development potential and explore the causes and possible suggestions behind the recreational potential. Results show that Ziyang Lake, Shai Lake, and South Lake have great recreational potential in improving their accessibility, whereas the Hankou lake dense area has a saturated recreational development potential due to its high accessibility characteristics. The differences in the water environment, surrounding road traffic conditions, and construction situations in these lakes influence their accessibility. Some differences are also observed between the actual and theoretical accessibility of most of these lakes, and there is a long way to go for real improvement of their recreational development potential. To better exploit the recreational development potential, improving the accessibility of these lakes remains an important issue that needs to be addressed as soon as possible. |
doi_str_mv | 10.3390/su12010160 |
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By using bike-sharing big data, this paper visualizes the spatiotemporal distribution characteristics and depicts the free flows of OD (Original Points and Destination Points) points of the bike-sharing activities taking place within 4 km of 21 lakes in the Wuhan Third Ring Road on an important holiday. Based on these distribution laws, statistics and spatial measurement are used to measure and compare the theoretical accessibility and actual accessibility of these lakeside areas at different grid scales in order to estimate the recreational development potential and explore the causes and possible suggestions behind the recreational potential. Results show that Ziyang Lake, Shai Lake, and South Lake have great recreational potential in improving their accessibility, whereas the Hankou lake dense area has a saturated recreational development potential due to its high accessibility characteristics. The differences in the water environment, surrounding road traffic conditions, and construction situations in these lakes influence their accessibility. Some differences are also observed between the actual and theoretical accessibility of most of these lakes, and there is a long way to go for real improvement of their recreational development potential. To better exploit the recreational development potential, improving the accessibility of these lakes remains an important issue that needs to be addressed as soon as possible.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su12010160</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Behavior ; Bicycles ; Bicycling ; Big Data ; Cities ; Free flow ; Global positioning systems ; GPS ; Lakes ; Public spaces ; Public transportation ; Recreation areas ; Spatial distribution ; Temporal distribution ; Time series ; Traffic</subject><ispartof>Sustainability, 2020-01, Vol.12 (1), p.160</ispartof><rights>2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c295t-aa2b9ec2f178550b04dec3e67215f7bf23c21c51533c8646bbd3e21cf7f34f2f3</citedby><cites>FETCH-LOGICAL-c295t-aa2b9ec2f178550b04dec3e67215f7bf23c21c51533c8646bbd3e21cf7f34f2f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Wu, Jing</creatorcontrib><creatorcontrib>Ling, Changlong</creatorcontrib><creatorcontrib>Li, Xinzhuo</creatorcontrib><title>Study on the Accessibility and Recreational Development Potential of Lakeside Areas Based on Bike-Sharing Big Data Taking Wuhan City as an Example</title><title>Sustainability</title><description>Accessibility is an important factor in measuring the recreational development potential of Wuhan lakeside areas where people like bike-sharing services for leisure. By using bike-sharing big data, this paper visualizes the spatiotemporal distribution characteristics and depicts the free flows of OD (Original Points and Destination Points) points of the bike-sharing activities taking place within 4 km of 21 lakes in the Wuhan Third Ring Road on an important holiday. Based on these distribution laws, statistics and spatial measurement are used to measure and compare the theoretical accessibility and actual accessibility of these lakeside areas at different grid scales in order to estimate the recreational development potential and explore the causes and possible suggestions behind the recreational potential. Results show that Ziyang Lake, Shai Lake, and South Lake have great recreational potential in improving their accessibility, whereas the Hankou lake dense area has a saturated recreational development potential due to its high accessibility characteristics. The differences in the water environment, surrounding road traffic conditions, and construction situations in these lakes influence their accessibility. Some differences are also observed between the actual and theoretical accessibility of most of these lakes, and there is a long way to go for real improvement of their recreational development potential. To better exploit the recreational development potential, improving the accessibility of these lakes remains an important issue that needs to be addressed as soon as possible.</description><subject>Behavior</subject><subject>Bicycles</subject><subject>Bicycling</subject><subject>Big Data</subject><subject>Cities</subject><subject>Free flow</subject><subject>Global positioning systems</subject><subject>GPS</subject><subject>Lakes</subject><subject>Public spaces</subject><subject>Public transportation</subject><subject>Recreation areas</subject><subject>Spatial distribution</subject><subject>Temporal distribution</subject><subject>Time series</subject><subject>Traffic</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpNUNtKAzEUDKJgqX3xCwK-Cau57KX72JsXKCi24uOSzZ60abebNcmK_Q2_2NQKel7mnGGY4QxCl5TccJ6TW9dRRiihKTlBPUYyGlGSkNN_-zkaOLchYTinOU176Gvhu2qPTYP9GvBISnBOl7rWfo9FU-EXkBaE16YRNZ7CB9Sm3UHj8bPxAXRgjcJzsQWnq2AQxA6PhYPq4DnWW4gWa2F1swrHCk-FF3gptof7rVuLBk9-klwIw7NPsWtruEBnStQOBr_YR693s-XkIZo_3T9ORvNIsjzxkRCszEEyRbNhkpCSxBVIDmnGaKKyUjEuGZUJTTiXwzROy7LiEBiVKR4rpngfXR19W2veO3C-2JjOhj9dweKYMkpIlgfV9VElrXHOgipaq3fC7gtKikPtxV_t_BsCWXU0</recordid><startdate>20200101</startdate><enddate>20200101</enddate><creator>Wu, Jing</creator><creator>Ling, Changlong</creator><creator>Li, Xinzhuo</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20200101</creationdate><title>Study on the Accessibility and Recreational Development Potential of Lakeside Areas Based on Bike-Sharing Big Data Taking Wuhan City as an Example</title><author>Wu, Jing ; Ling, Changlong ; Li, Xinzhuo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c295t-aa2b9ec2f178550b04dec3e67215f7bf23c21c51533c8646bbd3e21cf7f34f2f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Behavior</topic><topic>Bicycles</topic><topic>Bicycling</topic><topic>Big Data</topic><topic>Cities</topic><topic>Free flow</topic><topic>Global positioning systems</topic><topic>GPS</topic><topic>Lakes</topic><topic>Public spaces</topic><topic>Public transportation</topic><topic>Recreation areas</topic><topic>Spatial distribution</topic><topic>Temporal distribution</topic><topic>Time series</topic><topic>Traffic</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wu, Jing</creatorcontrib><creatorcontrib>Ling, Changlong</creatorcontrib><creatorcontrib>Li, Xinzhuo</creatorcontrib><collection>CrossRef</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wu, Jing</au><au>Ling, Changlong</au><au>Li, Xinzhuo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Study on the Accessibility and Recreational Development Potential of Lakeside Areas Based on Bike-Sharing Big Data Taking Wuhan City as an Example</atitle><jtitle>Sustainability</jtitle><date>2020-01-01</date><risdate>2020</risdate><volume>12</volume><issue>1</issue><spage>160</spage><pages>160-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>Accessibility is an important factor in measuring the recreational development potential of Wuhan lakeside areas where people like bike-sharing services for leisure. By using bike-sharing big data, this paper visualizes the spatiotemporal distribution characteristics and depicts the free flows of OD (Original Points and Destination Points) points of the bike-sharing activities taking place within 4 km of 21 lakes in the Wuhan Third Ring Road on an important holiday. Based on these distribution laws, statistics and spatial measurement are used to measure and compare the theoretical accessibility and actual accessibility of these lakeside areas at different grid scales in order to estimate the recreational development potential and explore the causes and possible suggestions behind the recreational potential. Results show that Ziyang Lake, Shai Lake, and South Lake have great recreational potential in improving their accessibility, whereas the Hankou lake dense area has a saturated recreational development potential due to its high accessibility characteristics. The differences in the water environment, surrounding road traffic conditions, and construction situations in these lakes influence their accessibility. Some differences are also observed between the actual and theoretical accessibility of most of these lakes, and there is a long way to go for real improvement of their recreational development potential. To better exploit the recreational development potential, improving the accessibility of these lakes remains an important issue that needs to be addressed as soon as possible.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/su12010160</doi><oa>free_for_read</oa></addata></record> |
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subjects | Behavior Bicycles Bicycling Big Data Cities Free flow Global positioning systems GPS Lakes Public spaces Public transportation Recreation areas Spatial distribution Temporal distribution Time series Traffic |
title | Study on the Accessibility and Recreational Development Potential of Lakeside Areas Based on Bike-Sharing Big Data Taking Wuhan City as an Example |
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