A study of the changing characteristics and influencing factors of holiday visitor vitality in Urban parks: The case of Fuzhou, China
The vitality of urban parks reflects the intensity of green space utilization, gauging visitors' overall perception of the parks, facilitating integrated park management, and ensuring the parks' sustainable development. But, the park's spatial vitality characteristics change over time...
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| description | The vitality of urban parks reflects the intensity of green space utilization, gauging visitors' overall perception of the parks, facilitating integrated park management, and ensuring the parks' sustainable development. But, the park's spatial vitality characteristics change over time, and the factors influencing the differences in vitality have not been conclusively established. Therefore, This study employs Baidu heat map data to examine the spatial and temporal distribution patterns of park visitor vitality on holidays and weekdays in urban parks located in the core urban region of Fuzhou City. Meanwhile, this will be achieved by utilizing a geo-detector and MGWR model to examine the factors influencing visitor vitality and analyze the spatial variations in the impact coefficients. The conclusions are as follows: (1)Park vitality varied dramatically between different periods, with park vitality being higher on holidays than on weekdays. The peaks of vitality are all concentrated at 10:00 and 16:00. The park's vitality on holidays had a pattern of many peaks, with a wave-like fluctuation. On weekdays, there was a notable M-shaped feature. (2)The spatial distribution of vitality has a "bimodal" pattern with two distinct cores and numerous fragmented fragments. There are notable variations in the spatial liveliness of different parks, characterized by a distinct "long-tail effect." In other words, there are just a few parks with high vitality, while many parks have low vitality. (3)The peripheral location features (G2) and the characteristics of transportation infrastructure (G3)are the main factors affecting park vitality; X11 amenities have the highest coefficient of impact on park vitality (0.501 on weekdays and 0.491 on holidays). The factors within the Park attributes (G1) and the park's social media level (G4) showed a two-way interaction strength increase. (4)The coefficients of influence of impact factors on the space heterogeneity of vacation park vitality exhibit significant variation. The positive indicators have a spatial distribution that decreases from the northwest to the southeast, with the old city district having higher coefficients than the new city district. The negative indicators display the reverse pattern. This study offers scientific methodologies and recommendations for improving and designing urban park landscapes. |
| doi_str_mv | 10.1371/journal.pone.0311546 |
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But, the park's spatial vitality characteristics change over time, and the factors influencing the differences in vitality have not been conclusively established. Therefore, This study employs Baidu heat map data to examine the spatial and temporal distribution patterns of park visitor vitality on holidays and weekdays in urban parks located in the core urban region of Fuzhou City. Meanwhile, this will be achieved by utilizing a geo-detector and MGWR model to examine the factors influencing visitor vitality and analyze the spatial variations in the impact coefficients. The conclusions are as follows: (1)Park vitality varied dramatically between different periods, with park vitality being higher on holidays than on weekdays. The peaks of vitality are all concentrated at 10:00 and 16:00. The park's vitality on holidays had a pattern of many peaks, with a wave-like fluctuation. On weekdays, there was a notable M-shaped feature. (2)The spatial distribution of vitality has a "bimodal" pattern with two distinct cores and numerous fragmented fragments. There are notable variations in the spatial liveliness of different parks, characterized by a distinct "long-tail effect." In other words, there are just a few parks with high vitality, while many parks have low vitality. (3)The peripheral location features (G2) and the characteristics of transportation infrastructure (G3)are the main factors affecting park vitality; X11 amenities have the highest coefficient of impact on park vitality (0.501 on weekdays and 0.491 on holidays). The factors within the Park attributes (G1) and the park's social media level (G4) showed a two-way interaction strength increase. (4)The coefficients of influence of impact factors on the space heterogeneity of vacation park vitality exhibit significant variation. The positive indicators have a spatial distribution that decreases from the northwest to the southeast, with the old city district having higher coefficients than the new city district. The negative indicators display the reverse pattern. This study offers scientific methodologies and recommendations for improving and designing urban park landscapes.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0311546</identifier><identifier>PMID: 39637247</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Analysis ; Big Data ; China ; Cities ; Computer and Information Sciences ; Distribution patterns ; Earth Sciences ; Economic aspects ; Engineering and Technology ; Environmental aspects ; Forecasts and trends ; Geospatial data ; Green infrastructure ; Heterogeneity ; Holidays ; Holidays & special occasions ; Humans ; Impact analysis ; Indicators ; Medicine and Health Sciences ; National parks ; Parks ; Parks & recreation areas ; Parks, Recreational ; Public spaces ; Quality of life ; Research and Analysis Methods ; Scientific visualization ; Social networks ; Social Sciences ; Socioeconomic factors ; Spatial distribution ; Spatial variations ; Sustainable development ; Temporal distribution ; Tourism ; Travel industry ; Urban areas</subject><ispartof>PloS one, 2024-12, Vol.19 (12), p.e0311546</ispartof><rights>Copyright: © 2024 Cui et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2024 Public Library of Science</rights><rights>2024 Cui et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 Cui et al 2024 Cui et al</rights><rights>2024 Cui et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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Yingxin</au><au>Lin, Qinlan</au><au>Yan, Minlong</au><au>Zhang, Litian</au><au>Zhu, Liying</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A study of the changing characteristics and influencing factors of holiday visitor vitality in Urban parks: The case of Fuzhou, China</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2024-12-05</date><risdate>2024</risdate><volume>19</volume><issue>12</issue><spage>e0311546</spage><pages>e0311546-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The vitality of urban parks reflects the intensity of green space utilization, gauging visitors' overall perception of the parks, facilitating integrated park management, and ensuring the parks' sustainable development. But, the park's spatial vitality characteristics change over time, and the factors influencing the differences in vitality have not been conclusively established. Therefore, This study employs Baidu heat map data to examine the spatial and temporal distribution patterns of park visitor vitality on holidays and weekdays in urban parks located in the core urban region of Fuzhou City. Meanwhile, this will be achieved by utilizing a geo-detector and MGWR model to examine the factors influencing visitor vitality and analyze the spatial variations in the impact coefficients. The conclusions are as follows: (1)Park vitality varied dramatically between different periods, with park vitality being higher on holidays than on weekdays. The peaks of vitality are all concentrated at 10:00 and 16:00. The park's vitality on holidays had a pattern of many peaks, with a wave-like fluctuation. On weekdays, there was a notable M-shaped feature. (2)The spatial distribution of vitality has a "bimodal" pattern with two distinct cores and numerous fragmented fragments. There are notable variations in the spatial liveliness of different parks, characterized by a distinct "long-tail effect." In other words, there are just a few parks with high vitality, while many parks have low vitality. (3)The peripheral location features (G2) and the characteristics of transportation infrastructure (G3)are the main factors affecting park vitality; X11 amenities have the highest coefficient of impact on park vitality (0.501 on weekdays and 0.491 on holidays). The factors within the Park attributes (G1) and the park's social media level (G4) showed a two-way interaction strength increase. (4)The coefficients of influence of impact factors on the space heterogeneity of vacation park vitality exhibit significant variation. The positive indicators have a spatial distribution that decreases from the northwest to the southeast, with the old city district having higher coefficients than the new city district. The negative indicators display the reverse pattern. This study offers scientific methodologies and recommendations for improving and designing urban park landscapes.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>39637247</pmid><doi>10.1371/journal.pone.0311546</doi><tpages>e0311546</tpages><orcidid>https://orcid.org/0000-0001-6338-8477</orcidid><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Analysis Big Data China Cities Computer and Information Sciences Distribution patterns Earth Sciences Economic aspects Engineering and Technology Environmental aspects Forecasts and trends Geospatial data Green infrastructure Heterogeneity Holidays Holidays & special occasions Humans Impact analysis Indicators Medicine and Health Sciences National parks Parks Parks & recreation areas Parks, Recreational Public spaces Quality of life Research and Analysis Methods Scientific visualization Social networks Social Sciences Socioeconomic factors Spatial distribution Spatial variations Sustainable development Temporal distribution Tourism Travel industry Urban areas |
| title | A study of the changing characteristics and influencing factors of holiday visitor vitality in Urban parks: The case of Fuzhou, China |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T02%3A17%3A00IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20study%20of%20the%20changing%20characteristics%20and%20influencing%20factors%20of%20holiday%20visitor%20vitality%20in%20Urban%20parks:%20The%20case%20of%20Fuzhou,%20China&rft.jtitle=PloS%20one&rft.au=Cui,%20Tingting&rft.date=2024-12-05&rft.volume=19&rft.issue=12&rft.spage=e0311546&rft.pages=e0311546-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0311546&rft_dat=%3Cgale_plos_%3EA819044185%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3141380514&rft_id=info:pmid/39637247&rft_galeid=A819044185&rft_doaj_id=oai_doaj_org_article_e8ccc3db7809499eb8dc6d10995ea9d1&rfr_iscdi=true |