Activities, motivations and satisfaction of urban parks visitors: A structural equation modeling analysis

Halkos, George; Leonti, Aikaterini; Sardianou, Eleni

doi:10.1016/j.eap.2021.04.005

Cited by 23 publications

(16 citation statements)

References 45 publications

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“…The main factors limiting the use of parks were time limitations and limited park access [9]. Previous studies in European cities reported that the primary motivation for visiting urban parks is to seek moral relaxation and a natural experience [12,15,16]. With additional facilities for activities in parks, visit frequency may increase [17].…”

Section: Introductionmentioning

confidence: 99%

Factors Influencing the Visitation and Revisitation of Urban Parks: A Case Study from Hangzhou, China

Zhan

Han

et al. 2021

Sustainability

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Visitors’ satisfaction and willingness to revisit urban parks are closely linked to park longevity. However, few details of this relationship have been studied. We explored the factors influencing urban park use and factors motivating revisitation in six urban parks in Hangzhou, China. Data from 600 park visitors were collected over three months using a face-to-face questionnaire. These included socio-demographic data, residential data, personal characteristics, park satisfaction, motivations for visit, and other information. A hierarchical regression model was applied to analyze the contribution of each variable to visitation by park users. Physical and mental benefits and previous positive experiences were the main factors motivating park visitation. Age and distance to the nearest park were the main factors driving park revisitation, and they were positively and negatively correlated with visitation frequency, respectively. Long-term and short-term residents, who commute by cycling or walking, made up the majority of park visitors. Interestingly, park features had no significant impact on revisitation. Weather and time limitations were major factors limiting visitation to parks, and traffic and inadequate park facilities limited revisitation. Our results could be useful for urban planners as they develop guidelines to improve visitor satisfaction and promote the longevity of urban parks.

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Section: Introductionmentioning

confidence: 99%

Factors Influencing the Visitation and Revisitation of Urban Parks: A Case Study from Hangzhou, China

Zhan

Han

et al. 2021

Sustainability

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“…Park users also showed a greater preference towards larger green spaces (Wang et al, 2015 ). Users preferred larger parks due to the increased perceived variety and opportunities to relax within the park (Corti et al, 1996 ), and thus also increases their motivations to visit (Halkos et al, 2021 ; Vierikko et al, 2020 ). In our study, larger parks provide more space (or distance in terms of trails) and amenities for exercising, which was the main activity that visitors used parks for.…”

Section: Discussionmentioning

confidence: 99%

The influence of the COVID‐19 pandemic on the demand for different shades of green

et al. 2022

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1. COVID-19 has heightened the dependence of urban dwellers on cultural ecosystem services provided by urban green spaces (UGS), specifically in regard to the provision of recreational opportunities, and psychological and physical health benefits arising from their use.2. As different types and levels of cultural ecosystem services are provided by different types of UGS, people may seek out different UGS to satisfy personal needs over various phases of COVID-19 mobility restrictions imposed by cities.We report on a study that took advantage of the different phases of COVID-19 mobility restrictions to assess the demand for and perception of different types of UGS in Singapore.3. The study utilised four datasets to compare demand for and visitorship patterns of UGS before the pandemic (Pre-Circuit Breaker), the duration of the strictest mobility restrictions (Circuit Breaker), and after the measures were relaxed (Post-Circuit Breaker). We used Google Search trends as a proxy for UGS demand, Google mobility data for an overview of population visitorship trends, visitor counts for granular insights on actual visitorship trends, and qualitative data on perception of parks by park visitors after restrictions eased. Parks were categorised as manicured and less manicured UGS for analysis. Search interest for UGS overall fell by more than 50% from during CircuitBreaker but the post-Circuit Breaker levels exceeded pre-Circuit Breaker, with a 70.9% increase for less manicured UGS compared to 20.8% for manicured UGS. This corroborated with Google mobility and visitor counts, which showed a steep decrease in park use followed by a rapid increase in the same periods, and with increased visitorship in the less manicured UGS. The perception study also showed that more than 50% of respondents reported visiting parks that they have never visited before, and there was a greater appreciation and use of UGS after the pandemic and preference for less manicured and more naturalistic landscapes.

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“…Since the development of the SEM model in the 1990s, it has promoted the research process in the fields of psychology, economics, sociology, and spatial planning (Halkos et al, 2021;Liu et al, 2021;Tong et al, 2021). The main advantage of using SEM over multivariate regression models and univariate regression is the opportunity to model complicated interrelationships among dependent and/or independent variables (Najaf et al, 2018).…”

Section: Structural Equation Model Approachmentioning

confidence: 99%

“…In this study, Cronbach's coefficient alpha (CCA) and composite reliability (CR) were used to test the reliability of the data, and the validity was assessed by calculating the mean variance (AVE). Both CCA and CR should be greater than 0.7, and AVE should be kept above 0.5 (Halkos et al, 2021;Liu et al, 2021). In this study, confirmatory factor analysis was used to measure the reliability and validity of the variables (Table 4).…”

Section: Reliability and Validity Testingmentioning

confidence: 99%

The spatial pattern and influence mechanism of urban vitality: A case study of Changsha, China

Xia

Zhang²,

Zhang³

et al. 2022

Front. Environ. Sci.

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In the new era, the vitality of urban space is an important engine of urban development, and the improvement of urban space vitality is the core component of urban spatial structure optimization and space renewal. However, the availability of data is an important issue in the evaluation of urban space vitality, and continuous vitality monitoring of the entire city is difficult to achieve through traditional methods of field research and questionnaire interviews. Due to this challenge, the traditional vitality assessment methods have serious limitations in the analysis of vitality causes and the guidance of urban space development. Using mobile phone signaling data, this study takes Changsha City as an example to measure the urban spatial vitality and uses the SEM model to analyze how market intervention, traffic accessibility, and spatial characteristics affect the density and stability of urban spatial populations. The results show that the overall urban space vitality density and vitality stability demonstrates an obvious “center–periphery” pattern, and the vitality of the urban center area is in a “high density–low stability” state. The overall urban vitality density on rest days is slightly lower than that on weekdays, and the stability of vitality on rest days is significantly higher than that on weekdays. Market intervention and transportation accessibility support vitality density, but not vitality stability, and spatial characteristics are the opposite. The findings can provide insights relevant to urban spatial planning and design.

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Activities, motivations and satisfaction of urban parks visitors: A structural equation modeling analysis

Cited by 23 publications

References 45 publications

Factors Influencing the Visitation and Revisitation of Urban Parks: A Case Study from Hangzhou, China

Factors Influencing the Visitation and Revisitation of Urban Parks: A Case Study from Hangzhou, China

The influence of the COVID‐19 pandemic on the demand for different shades of green

The spatial pattern and influence mechanism of urban vitality: A case study of Changsha, China

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