Factors Influencing Visitors to Suburban Open Space Areas near a Northern Japanese City

Aikoh, Tetsuya; Abe, Reina; Kohsaka, Ryo; Iwata, Mari; Shoji, Yasushi

doi:10.3390/f3020155

Cited by 18 publications

(5 citation statements)

References 15 publications

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“…As institutional seasonality 50 , the holiday variable represented all national holidays and weekends during the study period. These strong holiday impacts observed were consistent with several studies on park visitors 40 , 62 . These results emphasize that weather impacts represent only some of the factors affecting the visitation to the protected area.…”

Section: Discussionsupporting

confidence: 92%

Using mobile phone data to examine weather impacts on recreational ecosystem services in an urban protected area

Jaung

Carrasco

2021

Sci Rep

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Mobile phone big data can offer new opportunities for identifying weather impacts on recreational ecosystem services in protected areas. This could be useful to assess how climate change could affect recreational ecosystem services. To explore these opportunities, we utilize mobile phone data and examine impacts of tropical weather (temperature, rainfall, and wind) and holidays on visitor numbers and stay time in an urban protected area in Singapore. These impacts were analyzed by visitors’ home regions and ethnic groups as well. The study results showed that rising temperatures below 31.7 °C had positive impacts on visitor numbers, in contrast to the common perception that cooler temperatures would be always preferred for outdoor activities in a tropical region. Meanwhile, these rising temperatures reduced visitor stay time in the protected area. Rain and wind had limited impacts on visitors. Compared to the weather variables, holidays had bigger impacts on visitors, particularly the Chinese group and those visitors living not close to the protected area. The study results highlight several advantages of mobile phone data application to analyzing weather impacts on public use of urban protected areas.

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Section: Discussionsupporting

confidence: 92%

Using mobile phone data to examine weather impacts on recreational ecosystem services in an urban protected area

Jaung

Carrasco

2021

Sci Rep

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“…Association of environmental elements with respondents’ behaviors in open spaces is a complex research topic [ 29 ]. Many important influencing factors, such as the environment, facilities, and culture, work on open spaces simultaneously [ 30 , 31 , 32 ]. The diversity of respondents’ behavior in open spaces has also been difficult to address [ 33 , 34 ].…”

Section: Methodsmentioning

confidence: 99%

Association of Environmental Elements with Respondents’ Behaviors in Open Spaces Using the Direct Gradient Analysis Method: A Case Study of Jining, China

Jing

Wang

et al. 2022

IJERPH

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Following rapid urban development, higher demands are now being placed on urban open spaces in China, and the relationship between environmental elements and respondents’ behaviors in open spaces has become a common concern for researchers. Current research using geographic information systems has yielded macroscopic portraits of the behavioral trends and outcomes of research subjects, but evaluating their actual needs is complex. This paper proposes a new method to analyze the relationship between open spaces and respondents’ behaviors from a detailed perspective. Direct gradient analysis was employed with stratified sampling to select sample points in open spaces. Environment quality, ancillary facilities, and canal culture were selected as subjective evaluation factors. The greatest advantage of the proposed procedure is that it produces a ranking diagram, which compensates for the shortcomings of research methods that cannot directly express the actual needs related to respondents’ behaviors. From a case study in Jining, China, a location’s environmental quality and ancillary facilities were found to have the greatest influence on the behaviors of those using open spaces. Finally, strategies for improving environmental quality in open spaces are proposed.

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“…Finally, to study the factors in uencing visitors' stay time in parks and based on existing research regarding park visitation (Aikoh et al, 2012;Bertram et al, 2017;Chen et al, 2018;Jiang et al, 2019;Subramanian and Jana, 2018), we selected three categories of variables that may in uence visitors' stay times. The rst category was the parks' attributes and surrounding environmental characteristics and included four independent variables: park area, number of dwellings and number of transportation facilities within 2 km of the park, and the distance from a given visitor's home to the park.…”

Section: Data Sourcesmentioning

confidence: 99%

Using Mobile Phone Data to Understand the Demographic Characteristics and Behavioral Patterns of Park Visitors in a Megacity, Beijing, China

Zhao

Ma³

et al. 2021

Preprint

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BackgroundUrban parks are important places that allow urban residents to experience nature but are also associated with the risk of exposure to contaminated soil. Local researches on demographic characteristics and population behavior patterns are the basis of soil exposure assessment. The objectives were to determine park visitors’ demographic characteristics and behavioral patterns. MethodsA total of 86 urban parks in Beijing were selected, and mobile phone data were used to quantify the park visits, identify the demographic characteristics of the visitors, and determine the visitors’ stay times. A Kruskal-Wallis test and kernel density estimation were used for difference analysis and to describe the spatial aggregation of visitors, respectively. A random forest model was used to analyze the factors influencing the visitors’ stay times.ResultsVisitor numbers at comprehensive parks and theme parks decreased significantly in winter, whereas seasonal variations in visitor numbers at community parks and country parks were small. Almost half of the visitors to Beijing’s urban parks were foreign visitors, who, unlike local visitors, preferred to visit parks located in the city’s center. Parks were mostly used by males and visitors aged 31–45. Most visitors stayed in the park for 1–2 h, and the distance from a given visitor’s home to the park was the most important factor affecting stay time, contributing 80.65% of the difference in stay time.ConclusionsThis study provides a quantitative analysis of the patterns relating to urban park use by different groups of people. Changes in behavior patterns of different groups of people should be considered when assessing soil exposure.

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Factors Influencing Visitors to Suburban Open Space Areas near a Northern Japanese City

Cited by 18 publications

References 15 publications

Using mobile phone data to examine weather impacts on recreational ecosystem services in an urban protected area

Using mobile phone data to examine weather impacts on recreational ecosystem services in an urban protected area

Association of Environmental Elements with Respondents’ Behaviors in Open Spaces Using the Direct Gradient Analysis Method: A Case Study of Jining, China

Using Mobile Phone Data to Understand the Demographic Characteristics and Behavioral Patterns of Park Visitors in a Megacity, Beijing, China

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