Next Article in Journal
Opportunities and Barriers to Integrating Urban Grasslands into Green Infrastructure: A Socio-Institutional Assessment of Latvian Cities
Next Article in Special Issue
Heritage Tourism Beyond World Heritage Sites: Urban Development of Al-Diriyah Through the Lens of the Experience Economy Model
Previous Article in Journal
Measurement and Spatiotemporal Evolution of Urban Low-Carbon Coordinated Development Under the 3E1S Framework: Evidence from Chinese Cities
Previous Article in Special Issue
Cultural Perception of Tourism Heritage Landscapes via Multi-Label Deep Learning: A Study of Jingdezhen, the Porcelain Capital
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Visitor Typologies for Micro-Zoning in Forest Recreation Sites

1
Department of Tourism and Hotel Management, Kinneret College on the Sea of Galilee, Tiberias 15132, Israel
2
School of Environmental Sciences, University of Haifa, Haifa 3498838, Israel
*
Author to whom correspondence should be addressed.
Land 2026, 15(3), 506; https://doi.org/10.3390/land15030506
Submission received: 13 February 2026 / Revised: 11 March 2026 / Accepted: 19 March 2026 / Published: 21 March 2026

Abstract

Forest recreation sites provide accessible settings for everyday leisure while accommodating multiple, and often competing, uses, making zoning both a central planning challenge and solution. This study advances micro-zoning as a novel, site-scale extension of established recreation zoning concepts, examining how zoning principles can be operationalized within intensively used forest recreation areas. Data were collected from 302 visitors using a structured questionnaire on visit patterns, valued forest attributes, disturbances, and socio-demographic characteristics. Descriptive statistics and tests of association were used to identify needs, disturbances, and recurring combinations of use. The results show that these forests function as everyday recreation spaces for diverse group visits, with high importance placed on peacefulness, shade, cleanliness, natural scenery, and basic infrastructure, alongside frequent reports of disturbance from music, crowding, and litter. Building on these patterns, the study develops a micro-zoning framework that delineates three interpretive planning micro-areas: Drive-in Forest Recreation, representing high-intensity, infrastructure-oriented social use; Low-Intensity Recreation, a moderate-use, low-noise nature-oriented area prioritizing separation from disturbance; and Active Recreation Use, comprising movement-focused routes for walking, running, and cycling. The study illustrates how visitor survey data can guide evidence-based micro-zoning and adapt zoning frameworks to the fine spatial grain of intensively used forest recreation sites.

1. Introduction

Intensively used forest recreation sites provide accessible spaces for everyday leisure and informal contact with nature [1,2,3,4,5]. Accessible forest parks and peri-urban forests function as venues for family outings, informal social gatherings, and everyday contact with nature. Studies of mostly urban forest parks report that most visitors come with family members for half-day leisure trips [2], and that forest parks are ideal places for urban citizens to experience nature, be physically active, and socialize [1,6,7].
Peri-urban forests close to large cities similarly offer easily accessible locations for hiking and picnicking, providing an “escape” within reasonable travel distance [8]. With ongoing urbanization, much of the everyday demand for outdoor recreation is concentrated in urban and peri-urban green spaces. Recent work demonstrates that small urban green spaces and peri-urban forests serve as “urban oases,” playing a disproportionately important role in recreation and social life in densely populated cities [9,10]. At the same time, they are increasingly recognized as critical elements of urban green infrastructure and sustainable regional development [8,11,12].
In such settings, peaceful nature-oriented visitors, large social groups, and physically active users (for example, walkers, runners, or cyclists) may all use the same forest area at the same time. The physical proximity of these different uses easily leads to tensions. Visitors who seek a peaceful, shaded corner and a sense of nature may be disturbed by noise. Others may find that paths are congested or that heavy vehicular traffic and parking dominate the main arrival zones. A growing body of work shows that intensively used green spaces can experience conflicts where different activities overlap in the same limited area.
Studies in urban parks and urban forests document conflicts between user groups (e.g., runners and mountain bikers) and between recreation and conservation goals [13,14,15]. Design and spatial planning of small green spaces can help manage visitor flows and reduce such conflicts [16], reinforcing the need for deliberate management rather than leaving incompatible activities to share the same small space.
Zoning is widely recognized as a central tool in recreation planning and management. Frameworks such as the Recreation Opportunity Spectrum (ROS) and Visitor Experience and Resource Protection (VERP) are built around providing a diversity of recreation settings, ranging from highly developed, intensive use areas to peaceful, minimally developed settings, each characterized by specific physical, social, and managerial conditions and associated infrastructure and regulations [17,18,19].
Contemporary visitor use management frameworks build on these zoning concepts by first defining desired resource and social conditions, then selecting measurable indicators (e.g., crowding, number of encounters, or noise levels) and associated standards, and finally adjusting management actions—including the spatial distribution of use to keep conditions within acceptable ranges [18,20,21,22]. While ROS, Limits of Acceptable Change (LAC), VERP, and related visitor use management frameworks provide powerful tools for structuring recreation opportunities at landscape scales, considerably less attention has been given to how similar principles can be applied within small, intensively used recreation nodes where multiple activities overlap in limited space [19,23,24,25]. Hence, existing zoning frameworks are highly useful for designing large parks, but do not necessarily provide an adequate solution for small-scale, intensively used recreational sites that experience high volumes of diverse users. In such settings, finer spatial differentiation within a single recreation site may help separate incompatible activities while maintaining accessibility for diverse visitor groups.
In many contexts, recreational sites appear to develop incrementally rather than through a single, integrated design process. Facilities are added over time in response to perceived needs or available budgets. Where planning and management are limited, rules about behavior and noise may remain unclear or only weakly enforced. In the absence of explicit zoning, visitors themselves effectively decide how to distribute different activities across the site. In intensively used green spaces, a common pattern is that very different activities are mixed in the same small areas—for example, loud social activities and peaceful rest, active play and sitting, or vehicle access and pedestrian routes occurring side by side [13,14,15,16]. Such mixing of uses may be tolerated at low levels of use, but as visitor numbers increase, both social and experiential conflicts tend to intensify [26,27,28].
From the visitors’ perspective, this unmanaged mix of uses in small-scale recreational sites often manifests as crowding, noise, and other disturbances that reduce the perceived quality and enjoyment of the visit [27,29,30,31,32]. Visitors may respond by avoiding areas or peak periods. Such displacement responses are widely documented in the literature [33,34,35,36]. Similar processes of displacement and perceived loss of “fit” between visitors and settings have been described in other recreation contexts [37].
From a management perspective, lack of deliberate zoning makes it more difficult to concentrate maintenance where it is most needed and to separate high-wear areas from those intended to remain more natural. Without spatial differentiation of uses, it is also challenging to protect more sensitive parts of the forest from trampling and disturbance, a role that zoning has traditionally played in larger protected areas [38,39,40,41]. Furthermore, clear spatial zoning further provides a simple basis for communicating behavioral expectations, highlighting this framework as a planning tool that is relatively easy for visitors to understand and for managers to communicate [39], while on-site communication measures are recognized as a central component of visitor management in natural areas [42].
Against this backdrop, the present study treats intensively used recreational sites as a test case for recreational micro-zoning. It is informed by established approaches to recreation planning and visitor use management, which emphasize the use of zoning and clearly defined social and environmental conditions. However, it focuses on the much less explored question of how such ideas can be operationalized within a single, small recreational site. The study is guided by three core questions. First, why is zoning needed in intensively used forest areas? Second, what kinds of problems arise for visitors and managers when spatial differentiation and on-site management are weak or absent? Third, how can empirical data on visitors’ needs, preferences, and experiences be used to design a micro-zoning scheme that directly addresses these problems?
To address these questions, the study draws on a visitor survey (N = 302) conducted in a network of forest picnic areas and originally commissioned to inform their regional planning and management. The analysis uses the survey as a basis for understanding who uses these sites, what they value, and what disturbs them, and for deriving visitor typologies that can be translated into a micro-zoning model.
More specifically, the study pursues four objectives: (1) to describe the profile of visitors and their patterns of use in recreational forests; (2) to identify the main needs and preferences that visitors express regarding forest attributes and facilities; (3) to document perceived disturbances and conflicts and relate them to types of visits and needs; and (4) to synthesize these findings into a set of visitor types and a corresponding three-zone recreation model that can guide zoning and management at the scale of individual recreational areas.
By pursuing these objectives, the paper aims to clarify why zoning is needed in small, intensively used picnic areas and how a lack of spatial differentiation can undermine visitor experiences. It also demonstrates how relatively simple visitor survey data can be used to justify and design a micro-zoning model that responds directly to what visitors value and what they experience as disturbing, rather than relying solely on expert judgement or generic guidelines.

2. Materials and Methods

Visitor survey research is widely used in tourism and environmental studies, especially for capturing visitors’ experiences and perceptions in natural settings. Such surveys are essential for understanding user engagement and satisfaction, and they provide key insights for planning inclusive and accessible recreation spaces [43].
This study employed a quantitative visitor survey to examine visitors’ attitudes, needs, and experiences in forest recreation areas in the Northern district of Israel. These forest recreation sites function as public open-access leisure areas. These sites typically include basic visitor infrastructure such as picnic tables, shaded seating areas, parking spaces, and access to short walking trails. They are designed to support multiple forms of outdoor recreation, including picnicking, family gatherings, walking, cycling, and nature-based leisure activities. As such, these forest recreation sites attract heterogeneous visitor groups whose recreational preferences and activity patterns often overlap within the same spatial setting.
The survey targeted visitors aged 18 and above who had visited at least one forest picnic area in the region within the previous year (N = 302), focusing on visitation patterns; valued forest attributes and facilities; perceived disturbances such as noise, crowding, and litter; and basic socio-demographic characteristics. The aim was to provide an empirical basis for understanding how these picnic areas function as everyday recreation spaces and for designing a micro-zoning model that reflects visitors’ preferences and sensitivities.

2.1. Survey Design

The survey instrument, developed by the research team, comprised 33 items structured to collect data across three main categories:
  • Visitation characteristics: group size and composition, purpose of the visit, frequency of visits to forest recreation sites, distance from place of residence, and mode of access (private car, organized transport, walking, etc.)
  • Needs, preferences, and experiences: statements about what visitors value in recreational forest (e.g., peacefulness, shade, cleanliness, natural scenery, facilities) and what they perceive as disturbances (e.g., noise, litter, motorized vehicles), as well as items on overall satisfaction. Responses were mainly on five-point Likert scales regarding importance (1 = “not important at all”; 5 = “very important”) or agreement (1 = “strongly disagree”; 5 = “strongly agree”).
  • Socio-demographic characteristics: age group, education level, one’s native language, and other basic background variables. Most items were multiple-choice or Likert-scale statements; several allowed multiple selections to capture the range of activities and reasons for visiting forest recreation sites. Gender information was not collected as part of the survey design. The study focused on visitor activity patterns and site use characteristics.

2.2. Sampling and Data Collection

Data were collected over seven months, from April to October 2024, using two complementary data collection approaches to reach visitors engaged in different types of use. First, on-site intercept surveys (N = 116) were administered at several forest recreational areas during weekdays and weekends, capturing insights from visitors present in the forests at the time of the study. Second, to expand the sample and include visitors with varying visitation habits, an online version of the questionnaire was distributed using snowball sampling via social media and mailing lists, yielding a further 186 responses. After excluding incomplete questionnaires, the final dataset comprised 302 visitors (18+) who had visited at least one forest recreation site within the previous year. The two data collection strategies were combined because both targeted the same population of forest recreation visitors and used the same questionnaire, and preliminary examination of response patterns did not indicate substantial differences between the two recruitment streams. Although the sampling was non-probabilistic and based partly on snowball methods, which may introduce selection bias, it provides a substantial exploratory dataset for examining visitor needs and experiences in intensively used forest recreational areas. The online survey was administered using Google Forms (Google LLC, Mountain View, CA, USA; available online: https://forms.google.com; accessed on 15 March 2026).The full survey instrument is provided in Appendix A.

2.3. Ethical Considerations

The study adhered to ethical guidelines for research involving human participants. Informed consent was obtained from all participants before their involvement in the study.

2.4. Data Analysis

Data were entered and analyzed using IBM SPSS Statistics (Version 29.0; IBM Corp., Armonk, NY, USA). At the first stage, descriptive statistics (frequencies, percentages, means, and standard deviations) were used to profile visitors and summarize patterns of use, valued forest attributes and facilities, and perceived disturbances. Age was originally recorded in seven categories. For inferential statistical analysis, these categories were aggregated into three broader cohorts (18–40, 41–60, and 61+) to ensure sufficient group sizes for statistical testing. At the second stage, relationships between needs, preferences and background categorical variables were examined using cross-tabulation analysis with Pearson’s chi-square tests; only the most relevant patterns are reported here. Thirdly, on this basis, recurring combinations of purposes, needs, and behaviors were synthesized into three interpretive visitor types, which in turn informed the proposed micro-zoning model. The questionnaire consisted primarily of single-item measures assessing visitors’ characteristics, preferences, and experiences. As the study did not employ multi-item psychometric scales, internal consistency reliability statistics (e.g., Cronbach’s alpha) were not applicable.
In addition to the statistical analyses, an interpretive synthesis was conducted to identify recurring patterns in visitor behavior. This synthesis combined the descriptive distributions of visitor preferences with the statistically significant associations identified through Pearson’s chi-square cross-tabulations. Attention was given to combinations of recreation preferences, infrastructure needs, and perceived disturbances that repeatedly appeared across the dataset. The variables that most consistently structured these patterns included preferences for picnic infrastructure, children’s recreation facilities, walking trails, cycling and running access, the importance attributed to secluded spaces, and the desire for a natural and quiet forest atmosphere. Based on these recurring empirical patterns, three visitor use profiles were identified. In the following section, these visitor typologies are used as an analytical framework for discussing a three-zone micro-zoning model that may help reduce spatial conflicts between incompatible recreation activities within the same forest site.

3. Results

The survey data reveal clear patterns in visitor characteristics, preferences, and reported disturbances. Yet the main contribution lies in how these patterns cohere into a parsimonious interpretive model. The findings support a three-type structure of forest recreation use, reflecting distinct combinations of visit purpose, desired setting, and tolerance for intensity. This typology is used throughout the Results to link user needs to points of friction on site and to motivate corresponding micro-zoning requirements.

3.1. Visitor Profile

Respondents represent a wide age range. The largest groups are aged 41–50 (23.2%, N = 70) and 51–60 (22.8%, N = 69), followed by 26–40 (18.9%, N = 57) and 61–70 (15.2%, N = 46). Younger visitors aged 18–25 account for 12.3% of the sample (N = 37), while 6.6% (N = 20) are aged 71–80 and 1.0% (N = 3) are aged over 80. For inferential statistical analysis, age categories were aggregated into three broader cohorts (18–40, 41–60, and 61+) to ensure sufficient group sizes for statistical testing. The age distribution of the respondents is presented in Table 1.
Educational levels are relatively high: 75.5% (N = 228) report a bachelor’s degree or above, and 40% (N = 121) hold a master’s degree or higher. Hebrew is the most common mother tongue (73.2%, N = 221), and 15% (N = 45) report Arabic as their first language.
With regard to use patterns, respondents can be divided into two broad frequency groups. Occasional visitors (once–twice a year up to once every few months) account for 68.5% of the sample (N = 207), while frequent visitors (from about once a month to once a week) account for 31.5% (N = 95). On average, respondents report visiting KKL forest recreation sites 2.78 times per year (SD = 0.71).
Approximately 38.4% of respondents (N = 116) completed the questionnaire while physically present in a forest recreational area. Among this on-site group, most live relatively close to the forest: 74.6% (N = 87) reside within up to one hour’s drive, while 25.4% (N = 29) live about two hours away. This underscores the role of these forest sites as local and regional recreation spaces.
Group composition among the on-site respondents is dominated by social visits. Of those present in the forest when answering the questionnaire (N = 116), 51.1% (N = 60) visited with family and children, 30% came with friends (N = 35) and partners (N = 21), and 10% (N = 12) visited alone. Only a minority arrived as part of an organized group (7.8%, N = 9) or with work colleagues (4.3%, N = 5).
Group sizes are typically medium to large. Among the central “friends and family” arrival group (N = 105), 38.1% (N = 40) came in groups of up to five people, 36.2% (N = 38) in groups of 5–10, and 20% (N = 21) in groups of 10–20 people.
Most visitors spend several hours in the forest. Across the on-site sample, 29.5% (N = 31) report staying more than five hours, 26.7% stay about two to three hours, 22.9% stay four to five hours, and 21% stay up to one hour. Overall, forest recreation sites function mainly as half-day or full-day leisure destinations rather than brief stopovers.

3.2. Needs and Preferences

Analysis of visitors’ stated reasons for choosing a forest picnic area reveals two main groups of factors.
The first group represents a dominant cluster of needs related to the forest experience itself. When asked to select up to three key factors that influence their choice of a forest recreational site, 47% of respondents emphasized the forest as a peaceful, natural, and inviting environment, 45% highlighted the importance of a peaceful, uncrowded atmosphere, and 40% pointed to the availability of walking and hiking trails. These responses underscore the importance of a calm, pleasant forest setting that supports both rest and light movement.
The second group focuses on infrastructure and facilities that enable the forest experience. Here, 48% of respondents selected toilets and water points as important, 46% emphasized parking and convenient vehicle access, and 44% mentioned tables and benches as central to their choice of forest recreation site. By contrast, only 13% identified children’s play facilities as a key factor, and 9% mentioned accessibility for visitors with disabilities. This pattern indicates that while specialized facilities are important for some, they are secondary to basic comfort and a peaceful, natural setting for most visitors.
Likert-scale items deepen this picture. Around 80% of respondents (N = 241) agree that they are willing to walk about five minutes to find a peaceful spot, and a similar proportion (N = 239, ~80%) agrees that finding a relatively secluded corner away from other visitors is important. In the summary of item means, short loop trails near the recreational area receive a relatively high importance score (mean ≈ 4.22 on a 1–5 scale), whereas access to bicycle and running trails is rated considerably lower (mean ≈ 2.3). Taken together, these findings suggest that visitors attach great importance to a peaceful, shady, clean forest environment with basic infrastructure and short, easy walking options, rather than to more specialized or intensive recreation facilities.

3.3. Disturbances, Conflicts, and Overall Satisfaction

Visitors were asked to evaluate potential sources of disturbance during their forest visits. Several patterns emerge.
First, amplified music stands out as the most prominent disturbance; 78.5% of respondents (N = 237) agreed that listening to music through loudspeakers or portable sound systems interferes with their forest experience. This is reflected in the high mean agreement score for the item “music through speakers disturbs me” (mean ≈ 4.21 on a 1–5 scale).
Second, litter and inconsiderate behavior are also perceived as serious problems. The item related to “litter and lack of consideration” receives a high mean score of about 4.0, indicating broad agreement that uncollected garbage and neglect of cleanliness diminish the quality of the visit.
Other disturbances are reported at more moderate levels. Around one third of respondents (35.7%, N = 108) agree that there is heavy traffic of off-road vehicles near the recreational areas. The mean scores for the items “crowded and noisy” and “off-road vehicles” are around 3.0, suggesting that these issues are present but do not affect all visitors to the same degree. Perceived disturbance from “other visitors whose needs differ from mine” is lower still (mean ≈ 2.58).
Despite these specific complaints, overall evaluations of the forest experience are high. A majority of respondents (62.3%, N = 188) agree that the forest is their preferred place for outings with family and friends, and 69.5% (N = 209) consider the forest ideal for picnics with family and friends. The overall satisfaction item (“I am satisfied with my visit to the forest today”) receives a high mean score of 4.51 (SD = 0.75), and approximately 89% of the on-site sample report being satisfied or very satisfied with their visit.
In sum, visitors highly value forest recreation sites and report generally satisfying experiences, but loud music, crowding, and litter emerge as recurring stress points that can undermine the quality of visits for part of the public.

3.4. Relationships Between Needs, Uses, and User Characteristics

Cross-tabulation analysis using Pearson’s chi-square tests revealed significant relationships between visitor characteristics and recreation preferences. The main patterns relevant for understanding micro-zoning needs are reported below.
Visitors residing closer to the forest were significantly more likely to prioritize children’s play facilities than those traveling from greater distances (χ2(20) = 69.37, p < 0.001). A similar relationship was found between residential distance and the importance of access to cycling and running trails. Visitors living closer to the forest were more likely to consider access to these trails an important factor in campsite selection (χ2(20) = 53.75, p < 0.001).
Preferences for short walking trails were significantly associated with the importance attributed to picnic infrastructure such as tables, seating, and shaded areas (χ2(10) = 44.23, p < 0.001), indicating that visitors who prioritize walking opportunities also tend to value nearby resting and gathering facilities. Finally, visitors who emphasized the importance of finding secluded spaces separated from other visitors were significantly more likely to prioritize a natural and quiet forest atmosphere (χ2(5) = 23.16, p < 0.001). The significant associations identified through the chi-square tests are summarized in Table 2.
First, residential distance is linked to certain types of use and infrastructure preferences. Visitors who live within up to one hour’s drive of the forest are more likely to agree that active recreation facilities for children are necessary: among those who stress the importance of such facilities, about 41% live within an hour of the forest. A similar pattern appears for access to bicycle and running trails: among respondents who consider access to these trails important, roughly 39% live within an hour’s drive. This suggests that nearby residents are more likely to integrate active uses (children’s play, running, cycling) into their forest visits.
Second, there is a clear association between picnic infrastructure and walking opportunities. Among respondents for whom the availability of hiking and walking trails is important, 63% also rate the presence of tables, benches and shade as important or very important. This indicates a substantial group of visitors who explicitly combine picnic and walking during a single visit, and who therefore need both basic infrastructure and pleasant short walking options.
Third, preferences for secluded, peaceful spaces are closely tied to the broader desire for a natural, calm forest atmosphere. Around 80% of respondents are willing to walk several minutes to find a peaceful corner and agree that finding a more isolated place away from other groups is important. In the interpretation of the original report, these patterns support the need to design areas that separate moderate and peaceful, nature-oriented use from noisier, more intensive activities, especially when considering micro-zoning.
These relationships, together with the descriptive findings above, provide the empirical basis for the visitor typologies described in the next subsection.

3.5. Visitor Typologies

The visitor typologies presented in this section were derived through an interpretive synthesis of the empirical findings reported above. The analysis combined descriptive distributions of visitor preferences with the statistically significant associations identified through Pearson’s chi-square cross-tabulations. Attention was given to recurring combinations of recreation preferences, perceived disturbances, and visitor characteristics. The variables that most consistently structured these patterns included preferences for picnic infrastructure, children’s recreation facilities, walking trails, cycling and running access, the importance attributed to secluded spaces, and the desire for a natural and quiet forest atmosphere. Additional contextual variables such as residential distance from the forest, visit purpose, visit duration, and attitudes toward music and crowding were examined to better understand how different recreation patterns emerge within the same site.
Based on these recurring empirical patterns, three dominant visitor use profiles were identified. These typologies represent analytically derived patterns of recreation behavior rather than mutually exclusive respondent categories; therefore, individual visitors may express preferences associated with more than one profile. The typologies are used here as an interpretive framework to organize the empirical findings and to inform the micro-zoning implications discussed in the following section.

3.5.1. “Low-Intensity Recreation” (Moderate-Use, Low-Noise, Nature-Oriented Area)

The first visitor profile represents users who primarily seek a quiet and nature-oriented forest experience. This pattern emerges from strong agreement with statements emphasizing the importance of a natural forest atmosphere and the ability to find secluded spaces separated from other visitors. As shown in Section 3.4, a significant association was identified between the importance attributed to secluded spaces and the desire for a natural and quiet forest atmosphere (χ2(5) = 23.16, p < 0.001). Visitors associated with this profile therefore prioritize environmental qualities such as tranquility, low crowding, and opportunities for calm nature immersion over built infrastructure or active recreation facilities.
This profile reflects a central pattern of forest use observed in the dataset. Visitors associated with this type typically come to the forest for relatively extended visits centered on a peaceful nature experience that combines picnicking or social gathering with relaxation in a natural environment. They seek a calm and uncrowded atmosphere while also valuing access to short walking trails, and many are willing to walk several minutes from the parking area to reach more secluded areas of the forest. Group sizes within this profile vary, and visits may extend up to several hours, often combining time spent around recreational infrastructure with short walks. For this type, basic infrastructure such as parking, tables, shade, toilets, and water is important primarily as support for a quiet social experience within a natural forest setting.

3.5.2. “Drive-In Forest Recreation” (Intensive, Infrastructure-Oriented Use)

The second visitor profile reflects a social and infrastructure-oriented pattern of forest use. This pattern emerges from preferences for built amenities that support shared leisure activities, particularly children’s play facilities and picnic infrastructure. As shown in Section 3.4, visitors residing closer to the forest were significantly more likely to prioritize children’s play facilities than those traveling from greater distances (χ2(20) = 69.37, p < 0.001). In addition, preferences for short walking trails were significantly associated with the importance attributed to picnic infrastructure such as tables, seating, and shaded areas (χ2(10) = 44.23, p < 0.001). Together, these patterns indicate a visitor profile that places relatively high importance on convenient access, social gathering infrastructure, and facilities that support family- or group-based recreation.
Visitors associated with this profile typically make extensive use of built amenities within the forest recreation site. This group represents a more intensive, infrastructure-dependent use of the forest recreational area. This type includes visitors who come mainly for social gatherings and celebrations, and who show a strong interest in children’s play facilities and the option to play music through loudspeakers. This profile may also include visitors arriving through motorized trips (by car, jeep, or off-road vehicles) who may stop in the forest for relatively short visits, as well as groups engaged in camping, often in larger groups that are less sensitive to noise and more likely to want proximity to play facilities and music. For this type, high-intensity infrastructure (dense picnic tables, children’s play areas, vehicle access, and services such as toilets, water, and a coffee kiosk) is central.

3.5.3. “Active Recreation Use” (Movement-Focused Use)

The third visitor profile represents users whose forest visits are structured primarily around movement-based recreation. This pattern emerges from the importance attributed to access to walking, running, and cycling opportunities within the forest environment. As shown in Section 3.4, visitors living closer to the forest were significantly more likely to consider access to cycling and running trails an important factor in site selection (χ2(20) = 53.75, p < 0.001). In addition, preferences for short walking trails were significantly associated with the importance attributed to picnic infrastructure such as tables, seating, and shaded areas (χ2(10) = 44.23, p < 0.001), indicating that movement-based recreation is often combined with short stops or resting points within the recreation area.
This group includes day visitors who regard the forest recreation site primarily as a gateway for active movement, such as walking, hiking, running, or cycling. For many in this type, this active purpose is their main or exclusive goal, and they have limited need for extended use of the picnic tables or dense facilities. Their age varies, and many typically live within about one hour’s drive of the forest. This group places relatively high importance on convenient access to trails, supporting infrastructure such as toilets and water near the entrance, and sometimes on a coffee stand located near the trailheads rather than within the main picnic zone.
Together, these three visitor types describe a spectrum of needs in an intensively used forest recreation site: from peaceful, nature-oriented social use (“Low-Intensity Recreation”), through dense, infrastructure-intensive social and camping use (“Drive-in Forest Recreation”), to movement-focused use that relies on the recreation area primarily as an access point (“Active Recreation Use”). In sites where zoning and management are weak, these uses are likely to overlap within the same limited spaces, contributing to the disturbances and conflicts documented above. For this reason, these typologies provide an empirical basis for considering spatial differentiation through micro-zoning. The synthesis of these findings into three empirically grounded visitor typologies and their corresponding micro-zones is summarized in Table 3.

4. Discussion

The current study was set to examine three fundamental questions: why zoning is needed in intensively used forest recreation sites; how the lack of zoning and management affects visitors; and how visitors’ data can guide a micro-zoning model. In addressing these questions, the study links the empirical findings to broader debates on forest recreation planning, visitor use management, and spatial zoning in multifunctional landscapes [17,18,20,21,22,40,44].

4.1. Why Zoning Is Needed in Intensively Used Forest Recreation Sites

The results indicate that the same forest recreational areas must accommodate several distinct styles of use (Section 3.5). Most visitors arrive in family or mixed-age groups for half-day or full-day visits (Section 3.1), using these sites as accessible everyday recreation spaces rather than rare “destination” trips. This pattern is consistent with studies that highlight the role of local and regional forests and green spaces in supporting routine leisure, especially for families and mixed-age groups [1,2,6,7,8].
At the same time, needs and preferences diverge clearly. One segment prioritizes a peaceful area, shade, cleanliness, natural scenery, and some degree of seclusion; a second emphasizes convenient car access, dense clusters of tables and grills, and proximity to playgrounds or open spaces; a third focuses on trails and movement (Section 3.2, Section 3.3, Section 3.4 and Section 3.5). Similar co-existence of nature-oriented, social-gathering, and activity-focused users has been documented in urban and peri-urban forests and recreation areas, along with the importance of basic infrastructure and short, accessible trails [3,7,13,14,16]. This diversity of use is not inherently problematic; it reflects the multifunctional role that forest recreation sites can play in regional green infrastructure [8,11,12]. The difficulty arises when incompatible uses are compressed into the same small spaces. The survey shows that visitors seeking peacefulness and naturalness are particularly disturbed by loud music, noisy groups, and crowding, while visitors who emphasize convenience and facilities are more tolerant of noise and density but still perceive litter and congestion as negative (Section 3.3). This aligns with research showing that noise, crowding, and visible disorder act as “repellents” in otherwise attractive recreation settings [26,27,28,29,32].
When there is no clear spatial differentiation, visitors have limited options for avoiding disturbing activities. Peace-seeking users may retreat beyond maintained areas or shift to less crowded times, while others simply accept disturbance as the cost of using popular sites (Section 3.3 and Section 3.4). These patterns are consistent with the literature on crowding and displacement in high-use recreation settings, where visitors respond to perceived crowding and conflict through spatial or temporal displacement rather than direct confrontation [30,33,34,35,36].
As stressed in the Introduction, recreation planning and visitor use management frameworks treat zoning as a basic tool for separating incompatible uses, providing distinct types of experiences and reducing conflicts. The Recreation Opportunity Spectrum (ROS) and related forest recreation planning approaches show how different “setting classes” can be defined by combinations of access, development, social conditions and management [17,19,40]. Visitor use management approaches, including the Visitor Use Management Framework, Limits of Acceptable Change (LAC) and VERP-type processes, explicitly link desired experiences and resource conditions to indicators such as crowding or noise and to spatial and regulatory measures that maintain them [18,20,21,22,40]. Large-scale zoning for multiple functions—recreation, conservation and other land uses—is increasingly used in protected areas and regional planning [38,39,41].
The findings translate these established ideas to a much finer spatial scale. In small, intensively used forest recreation sites, physical proximity magnifies conflicts. The survey, therefore, underlines what these frameworks imply: some form of micro-zoning is needed so that high-intensity social use, peaceful nature-oriented visits, and trail-focused activity can coexist without systematically undermining each other.

4.2. How Lack of Zoning and Management Affects Visitors

The survey also clarifies how the absence of clear zoning and associated management decisions is experienced by visitors. Loud, amplified music emerges as a particularly salient disturbance, especially for those who value a peaceful environment and secluded seating (Section 3.3). Research on soundscapes in natural environments shows that noise can function both as an environmental stressor and as a constraint on restoration, reducing the perceived restorative quality of otherwise natural settings [32,45]. The research data echoes this: respondents repeatedly report that music “takes over” the site and makes it difficult to find peaceful corners on busy days.
Crowding near entrances, parking areas, and clusters of facilities is another recurring issue. When parking, picnic tables and playgrounds are concentrated in a narrow zone, and this area becomes highly congested, while more distant parts of the forest may lack basic seating or clear paths (Section 3.2 and Section 3.3). Classic work on crowding at intensively developed recreation sites shows that density, social conditions and expectations jointly shape perceived crowding and satisfaction [26,27]. Recent studies in forest and park settings similarly identify crowding as a major determinant of perceived quality and willingness to return [27,28,29]. The survey’s results are consistent with this body of work, and add the observation that crowding is unevenly distributed within sites, concentrating particularly where infrastructure and vehicle access are clustered.
Litter is also identified as a major disturbance. Respondents report that uncollected garbage, leftover food, and disposable utensils undermine the sense of being in a natural environment and signal weak management (Section 3.3). Similar concerns appear in studies of urban and peri-urban green spaces and green open spaces, where poor cleanliness and maintenance reduce perceived quality and equity of provision [1,8,9].
Across these issues, the underlying problem is not only individual behavior but the absence of a clear spatial and managerial structure. When there is no designated “music area”, no explicit peaceful, nature-oriented zone, and no clear differentiation in where facilities and bins are concentrated, visitor experiences depend heavily on the behavior of other users. Peace-seeking visitors risk repeated disappointment and may come to feel that the site “belongs” to a more intensive style of use, mirroring displacement and coping responses noted in crowded recreation settings [30,33,34,35]. For managers, the lack of micro-zoning makes it harder to communicate expectations, justify restrictions, and concentrate maintenance and monitoring where they are most needed, issues that visitor use management frameworks highlight as central to effective practice [21,22,40,42].

4.3. How the Data Inform a Three-Zone Micro-Zoning Model

The visitor typologies derived from the survey—“Drive-in Forest Recreation”, “Low-Intensity Recreation”, and “Active Recreation Use”—provide a direct empirical bridge between the documented disturbances and conflicts and a concrete, site-scale micro-zoning model (Section 3.5). Rather than treating zoning as an abstract design principle, the analysis shows how visitor survey outputs can be translated into three spatially differentiated micro-zones with associated management rules, each aligned with a distinct combination of use patterns, desired experiences, and sensitivity to disturbance.
For the “Drive-in Forest Recreation” type, the survey reveals a strong emphasis on convenience, dense infrastructure, and tolerance of higher noise levels: heavy reliance on car access, closely spaced tables and grills, and, for some, the use of music as part of social gatherings (Section 3.1, Section 3.2, Section 3.3 and Section 3.5). These patterns resemble high-intensity use observed in some urban and peri-urban recreation sites, where visitors value facilities and easy access even when density is high [2,3,7]. This suggests a high-intensity social zone near parking, with robust infrastructure, clear rules for waste management and safety, and controlled space for music and other loud activities.
For the “Low-Intensity Recreation” type, a peaceful area, shade, cleanliness, and a sense of nature are central. These visitors report high sensitivity to loud music, noisy groups, and crowding, and value short walking trails and modest exploration rather than large-scale facilities (Section 3.2, Section 3.3, Section 3.4 and Section 3.5). Their profile parallels visitors in studies of forest welfare services and inclusive park design, where accessible but relatively calm and natural spaces support rest and social contact [4,5,9,45]. This suggests a moderate-use low-noise zone located further from parking, with more dispersed seating, simple infrastructure, and clear expectations of peaceful behavior, supported by design elements that provide visual and acoustic buffering from the high-intensity zone.
For the “Active Recreation Use” type, the priority is movement: connected, legible trails and safe access to paths, using the recreational area mainly as a gateway or brief resting place (Section 3.1, Section 3.2, Section 3.3, Section 3.4 and Section 3.5). Similar movement-focused use has been highlighted in studies of trail use and nature-based tourism in forested areas [2,7,8]. This points to a movement-focused zone where trailheads, loops, and connectors are clearly designed and separated as far as possible from the most congested picnic spaces and motor vehicle routes.
These three zones—Drive-in Forest Recreation (high-intensity social), Low-Intensity Recreation (moderate-use peaceful), and Active Recreation Use (movement-focused)—form a coherent gradient rather than rigid compartments. The conceptual move from visitor types to zones closely parallels how ROS and related approaches use visitor segments and setting preferences to define different recreation opportunity classes [19,40]. Studies of functional zoning in larger landscape units likewise show how clusters of user needs and ecosystem services can be translated into spatial differentiation and management prescriptions [38,39,41]. The contribution of this study is to apply this logic at the micro-scale of a single forest recreation area, using survey data to justify and design a three-zone model that directly reflects what visitors value and what disturbs them.

4.4. Theoretical and Practical Contributions

From a theoretical perspective, this study contributes to visitor use management and recreation zoning by advancing and operationalizing micro-zoning: the systematic application of established zoning principles within the fine spatial grain of a single, intensively used forest recreation site. While ROS, VERP, and related approaches typically operate at the level of landscapes or entire protected areas [22,40,44], this analysis shows how their core logic can be translated to high-use recreation nodes by explicitly linking (i) visitor types, (ii) desired experiences, and (iii) perceived sources of disturbance to fine-grained spatial differentiation inside one site. In doing so, the study clarifies zoning not only as a regional planning instrument but also as a site-level mechanism for managing everyday experiential conflicts where incompatible uses are compressed into a limited area.
Additionally, by distinguishing between a high-intensity social micro-zone (“Drive-in Forest Recreation”), a moderate-use peaceful micro-zone (“Low-Intensity Recreation”), and a movement-focused micro-zone (“Active Recreation Use”), the study refines existing zoning theory by demonstrating how differentiated experience settings can be structured within a single recreation node rather than only across large landscapes [19,40]. This advances academic knowledge of the planning of intensive recreational areas by showing how fine-grained spatial differentiation, grounded in empirically derived visitor typologies, can operationalize visitor use management principles at the site scale and provide a replicable model for other high-use forest settings [22,44].
Methodologically, the study demonstrates how standard visitor survey data—descriptive profiles, stated preferences, and perceived disturbances—can be used to derive interpretive visitor typologies and convert them into a concrete micro-zoning model. The contribution is a transparent, replicable workflow—documenting who uses the site, what they value, what disturbs them, and how these patterns recur and cluster into coherent typologies—and then using this structure to justify and design micro-zones that protect the conditions each type seeks. This procedure provides a practical template for forest agencies that already commission visitor surveys but may lack a clear operational bridge from survey findings to spatial management decisions on the site scale.
Practically, the proposed three-zone model functions as a compact decision support tool for micro-zoning—a high-intensity social zone, a moderate-use peaceful zone, and a movement-focused zone—which can be adapted to the physical layout and constraints of specific forest recreation sites. Figure 1 illustrates the conceptual spatial structure of the proposed micro-zoning model.
Because the model is grounded in visitors’ reported needs and tensions (rather than abstract design principles alone), it illustrates how micro-zoning can be used not only to reduce conflict but also to support more equitable access to peaceful, nature-oriented experiences alongside legitimate demand for social gatherings and active use within the same forest site. In operational terms, the proposed model can guide the spatial organization of intensively used forest recreation sites by aligning infrastructure, circulation, and behavioral expectations with the needs of the three identified visitor types. High-intensity social activities, including dense picnic infrastructure, vehicle access, and children’s play facilities, can be concentrated near entrances and parking areas in the Drive-in Forest Recreation zone. More secluded parts of the site may function as Low-Intensity Recreation areas, characterized by dispersed seating, natural vegetation buffers, and expectations of quieter behavior that support peaceful nature-oriented visits. Active Recreation Use can be structured around clearly marked trailheads and loop paths that connect to the broader forest trail system while minimizing interference with stationary recreational activities. In this way, micro-zoning does not necessarily require large physical distances but rather a clear spatial logic that separates incompatible activities while maintaining accessibility within the same recreation site. Implementation of such micro-zoning therefore depends on site-level planning and management decisions, including the placement of infrastructure, circulation routes, and communication measures that help visitors understand and use the differentiated zones.

4.5. Limitations and Future Research

Several limitations should be acknowledged. First, the survey relied on a non-probabilistic sampling strategy combining on-site intercept surveys with online snowball sampling. Because both recruitment strategies used the same questionnaire and targeted the same population of forest recreation visitors, the responses were analyzed as a single dataset; however, this approach may introduce selection bias and therefore limit the statistical representativeness of the results. Online distribution may have favored participation by more digitally connected and highly educated respondents, and some visitor groups may therefore be underrepresented. Although the two recruitment streams were examined for potential differences in response patterns, no substantial differences were identified; however, as the sampling was non-probabilistic, some variation between on-site and online respondents cannot be entirely ruled out. Second, the data were collected during a single multi-month period and therefore do not capture potential seasonal variations in visitation patterns or recreational preferences. Third, the survey focused primarily on recreation needs, preferences, and perceived disturbances, and therefore did not collect some socio-demographic variables such as gender, which may influence recreation behavior. In addition, the study relied on self-reported visitor responses and did not include direct spatial tracking or behavioral observation data, which could have provided a more fine-grained picture of how different activities are distributed within the sites.
Finally, the findings derive from a specific network of intensively used forest recreation areas and therefore should be interpreted as analytically transferable insights rather than universally generalizable results, particularly across different climatic, ecological, or forest-management contexts. Despite these limitations, the dataset provides a substantial empirical basis for understanding visitor needs and use patterns in intensively used forest recreation sites and for exploring the planning implications of micro-zoning at the site scale.
Future research could test and refine the proposed three-zone model in other forest regions and governance contexts, including comparative studies across different climate zones and green infrastructure systems. A useful next step would be to pilot the proposed three-zone model in selected forest recreation sites and evaluate its effects on visitors’ experiences, spatial conflicts, and management outcomes. Longitudinal or mixed-method designs combining repeated surveys with qualitative work and behavioral observations could further examine how zoning implementations affect visitor experiences, conflicts, and environmental conditions over time, and how visitors themselves understand and negotiate the resulting spatial structure.

5. Conclusions

This study examined why zoning matters in intensively used forest recreation sites, how weak or absent zoning is reflected in visitor experiences, and how visitor survey data can be used to design a site-level zoning model. Using responses from 302 visitors to recreational forests, it shows that these sites function as everyday recreation spaces for diverse family and group-based visits, with strong shared preferences for a peaceful area, shade, cleanliness, natural scenery, and basic infrastructure, alongside recurrent disturbances from loud music, crowding, and litter.
By relating these patterns to distinct visitor types, the study provides an empirical justification for zoning within individual recreational areas and proposes a three-zone model that separates high-intensity social use, peaceful nature-oriented use, and movement-focused use while keeping all three within the same site. In doing so, it bridges a gap between macro-level visitor use management frameworks and the micro-level design of small forest recreation nodes. It is key to notice that in structuring space to provide both peaceful nature-oriented areas and legitimate spaces for celebrations and active use, zoning can also support more equitable access to different kinds of forest experiences within the same site.
The challenges identified, limited space, diverse users, and overlapping activities are common in many forest and green-space settings. The approach illustrated here suggests that systematic use of visitor surveys can help forest agencies move from general calls for zoning toward explicit, evidence-based micro-zoning schemes at the scale of individual recreational sites that are intelligible to managers, visitors, and stakeholders alike. While the specific spatial proportions or configurations of zones will necessarily vary between sites, the planning logic illustrated here, deriving zoning structures directly from empirically identified visitor needs, preferences, and disturbances, may be transferable to other intensively used forest recreation areas.

Author Contributions

Conceptualization, E.K., Y.S. and N.C.-K.; methodology, E.K., Y.S. and N.C.-K.; software, E.K. and Y.S.; validation, E.K., Y.S. and N.C.-K.; formal analysis, E.K. and Y.S.; investigation, E.K., Y.S. and N.C.-K.; resources, E.K. and N.C.-K.; data curation, E.K. and Y.S.; writing—original draft preparation, E.K. and Y.S.; writing—review and editing, E.K., Y.S. and N.C.-K.; visualization, E.K. and Y.S.; supervision, E.K. and N.C.-K.; project administration, E.K. and N.C.-K.; funding acquisition, E.K. and N.C.-K. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the KKL-JNF, grant number: 15-10-993-24.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and approved by the Ethics Committee of the Faculty of Social Sciences, University of Haifa. Approval no. 022/26; English approval received 9 March 2025.

Informed Consent Statement

Informed consent to take part in the survey was obtained from all subjects involved in the study.

Data Availability Statement

All outputs and data are available upon request to the authors due to privacy restrictions.

Acknowledgments

During the preparation of this paper, the authors used ChatGPT-o4 Mini to improve its grammar. The authors have reviewed and edited the output and take full responsibility for the content of this publication.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
ROSRecreation Opportunity Spectrum
VERPVisitor Experience and Resource Protection
LACLimits of Acceptable Change
NPS (U.S.) National Park Service
IVUMCInteragency Visitor Use Management Council
SPSSStatistical Package for the Social Sciences
IBMInternational Business Machines
SDStandard deviation
KKL-JNFKeren Kayemeth LeIsrael (Jewish National Fund)

Appendix A

Use areas in Forests (The questionnaire was written in Hebrew and then translated for publication purposes.)
Hello, the questionnaire before you is intended for visitors to forest picnic sites. We would like to hear about your use of the different picnic sites and your preferences as visitors. The questionnaire is anonymous, and the responses will be used for research purposes only. Thank you in advance!
  • Which forest picnic site are you currently at? *
(Answer choices in your survey are a list of specific sites and had the option for listing “other”).
2.
What is the distance from your place of residence to this picnic site? *
  • Up to half an hour
  • Up to one hour
  • Up to two hours
  • More than two hours
3.
What is the main purpose of today’s visit to the forest? *
  • Picnic/social gathering
  • Walking/hiking
  • Motorized trip (car, jeep, etc.)
  • Sports activity (running, bicycles)
  • Rest and relaxation in nature
  • Overnight camping
  • Other: ______
4.
Why did you choose this forest picnic site? *
  • The site is convenient for a picnic
  • The nature and scenery at the site
  • Walking/bicycle routes at the site
  • The site is close to where I live
  • The site is close to other places to visit
  • The site is on my way
  • Other: ______
5.
Who did you come with? * (Choose up to 2 answers)
  • By myself
  • With my partner/spouse
  • With friends
  • With family/children
  • With a tour/group
  • With work colleagues
  • Other: ______
6.
How many people will you be today during the forest visit?
  • Up to 5
  • 6–10
  • 11–20
  • 20–30
  • More than 30 people
7.
How long will you spend today at the forest picnic site? *
  • Up to one hour
  • About 2–3 h
  • About 4–5 h
  • More than 5 h
8.
Among the following factors, which 3 factors are most important to you when choosing a forest picnic site? * (Select up to 3 answers)
  • Availability of picnic benches and tables
  • Toilets and drinking-water taps
  • Parking and convenient vehicle access
  • Children’s facilities (playground/active recreation facilities)
  • Lack of crowding and a peaceful atmosphere at the picnic site
  • Availability of hiking/walking routes
  • A forest/nature/peaceful experience
  • Accessibility for people with disabilities
  • Other: ______
Items 9–21: To what extent do you agree with the following statements? Please mark your level of agreement on a scale of 1–5, where 5 = Agree to a great extent and 1 = Do not agree at all. If you are not sure, you may skip to the next question.
Scale: 1 (Do not agree at all)–5 (Agree to a great extent)
9.
My visit to the picnic site is focused on spending time and having a shared picnic with family and friends.
10.
The main factor for me in choosing a picnic site is tables, benches, and shade that are convenient to use.
11.
The main factor for me in choosing a picnic site is clean toilets and drinking-water taps.
12.
I enjoy listening to music on a speaker while staying at the picnic site.
13.
When choosing a picnic site, it is important to me that there are facilities for children (playground/active recreation facilities).
14.
The presence of a kiosk/coffee cart is a main factor for me in choosing a picnic site.
15.
The main factor for me in choosing a picnic site is the uniqueness of the nature there (flowers, birds, etc.).
16.
The main factor for me in choosing a picnic site is the ability to connect to nature and the forest.
17.
It is important to me to find in the forest a peaceful spot that is separate from other visitors.
18.
I am willing to walk a distance of 5 min from the vehicle parking area in order to sit in a peaceful spot in the forest.
19.
It is important to me that there are short walking trails (1–2 km) at the picnic site, so I can combine a walk with the forest visit.
20.
Accessibility from the picnic site to cycling and running trails is a main factor for me in choosing a picnic site.
21.
The level of accessibility for wheelchair users and people with disabilities is a main factor for me in choosing a picnic site.
Items 22–26: The following statements relate to your experience visiting forest picnic sites—even if you are not currently at one. Please mark your level of agreement on a scale of 1–5, where 5 = Agree to a great extent and 1 = Do not agree at all.
Scale: 1 (Do not agree at all)–5 (Agree to a great extent)
22.
There is a heavy presence of cars, ATVs (quad bikes), and off-road motorcycles at the picnic sites.
23.
There is crowding at the picnic sites, and a feeling of noise and congestion.
24.
When music is played near me on a speaker, it disrupts my visit to the picnic site.
25.
Some visitors litter and behave in the forest in a way that is not considered as well as other visitors.
26.
It bothers me that there are visitors near me at the picnic site whose behavior and needs are different from mine.
27.
The forest is my favorite place to visit with friends and family.
28.
I am satisfied with my visit to the forest today.
If you are not at a forest picnic site, you may skip to the next question.
1—Not satisfied at all|2|3|4|5—Satisfied to a great extent
29.
How often have you visited forest picnic sites/KKL-JNF forests in the past year? *
  • This is my first visit in the past year
  • 1–2 times per year
  • Once every few months
  • At least once a month
  • At least once a week
30.
How often have you visited this forest picnic site in the past year?
If you are not at a forest picnic site, you may skip to the next question.
  • This is my first time at this forest picnic site
  • 1–2 times per year
  • Once every few months
  • At least once a month
  • At least once a week
31.
Which age group do you belong to? *
  • 18–25
  • 26–40
  • 41–50
  • 51–60
  • 61–70
  • 71–80
  • 80 and above
32.
What is your highest level of education? *
  • Primary/secondary education
  • Vocational studies
  • Bachelor’s degree
  • Master’s degree or higher
33.
What is your mother tongue? *
  • Hebrew
  • Arabic
  • Russian
  • English
  • Amharic
  • Other: ______

References

  1. Spiegel, Y.; Collins-Kreiner, N.; Ketter, E. Forest- and Nature-Based Recreation for Older Adults: Preferences, Well-Being, and the Need for Inclusive Planning. Forests 2025, 16, 1213. [Google Scholar] [CrossRef]
  2. Chen, B.; Qi, X.; Qiu, Z. Recreational Use of Urban Forest Parks: A Case Study in Fuzhou National Forest Park, China. J. For. Res. 2018, 23, 183–189. [Google Scholar] [CrossRef]
  3. Yun, Y.-J.; Choi, G.E.; Lee, J.-Y.; Choi, Y.E. Beyond Homogeneous Perception: Classifying Urban Visitors’ Forest-Based Recreation Behavior for Policy Adaptation. Land 2025, 14, 1584. [Google Scholar] [CrossRef]
  4. Bamwesigye, D.; Fialová, J.; Kupec, P.; Yeboah, E.; Łukaszkiewicz, J.; Fortuna-Antoszkiewicz, B.; Botwina, J. Urban Forest Recreation and Its Possible Role Throughout the COVID-19 Pandemic. Forests 2023, 14, 1254. [Google Scholar] [CrossRef]
  5. Weinbrenner, H.; Breithut, J.; Hebermehl, W.; Kaufmann, A.; Klinger, T.; Palm, T.; Wirth, K. “The Forest Has Become Our New Living Room”—The Critical Importance of Urban Forests During the COVID-19 Pandemic. Front. For. Glob. Change 2021, 4, 672909. [Google Scholar] [CrossRef]
  6. Ferencz-Havel, A.; Saláta, D.; Orosz, G.; Halász, G.; Tormáné Kovács, E. Comparison of Nature Tourism in Two Hungarian Forest-Dominated Areas—Results of Visitor Surveys. Forests 2024, 15, 1856. [Google Scholar] [CrossRef]
  7. Wang, X.; Zhang, J.; Wu, C. Users’ Recreation Choices and Setting Preferences for Trails in Urban Forest Parks. Urban For. Urban Green. 2022, 73, 127602. [Google Scholar] [CrossRef]
  8. Baxevani, M.; Tsiotas, D.; Kolkos, G.; Zafeiriou, E.; Arabatzis, G. Peri-Urban and Urban Green Space Management and Planning: The Case of Thessaloniki, Greece. Land 2024, 13, 1235. [Google Scholar] [CrossRef]
  9. Egerer, M.; Annighöfer, P.; Arzberger, S.; Burger, S.; Hecher, Y.; Knill, V.; Probst, B.; Suda, M. Urban Oases: The Social-Ecological Importance of Small Urban Green Spaces. Ecosyst. People 2024, 20, 2315991. [Google Scholar] [CrossRef]
  10. De Meo, I.; Alfano, A.; Cantiani, M.G.; Paletto, A. The Impact of the COVID-19 Pandemic on Citizens’ Attitudes and Behaviors in the Use of Peri-Urban Forests: An Experience from Italy. Sustainability 2023, 15, 2852. [Google Scholar] [CrossRef]
  11. Paudel, S.; States, S.L. Urban Green Spaces and Sustainability: Exploring the Trade-Offs. Urban For. Urban Green. 2023, 84, 127932. [Google Scholar] [CrossRef]
  12. Aram, F. Resources of Urban Green Spaces and Sustainable Development. Resources 2024, 13, 10. [Google Scholar] [CrossRef]
  13. Santos, T.; Mendes, R.N.; Vasco, A. Recreational Activities in Urban Parks: Spatial Interactions among Users. J. Outdoor Recreat. Tour. 2016, 15, 1–9. [Google Scholar] [CrossRef]
  14. Wilkes-Allemann, J.; Pütz, M.; Hirschi, C.; Fischer, C. Conflict Situations and Response Strategies in Urban Forests in Switzerland. Scand. J. For. Res. 2015, 30, 204–216. [Google Scholar] [CrossRef]
  15. Ziener, K. Types of Conflicts Between Recreational Use and Nature Conservation in National Parks and Biosphere Reserves. In Monitoring and Management of Visitor Flows in Recreational and Protected Areas; Arnberger, A., Brandenburg, C., Muhar, A., Eds.; Conference Proceedings; Bodenkultur University: Vienna, Austria, 2002; pp. 467–473. [Google Scholar]
  16. Cheng, S.; Zhang, D.; Wang, Y.; Zhang, X. Exploring the Relationships between Mini Urban Green Space Layout and Human Activity. Land 2024, 13, 871. [Google Scholar] [CrossRef]
  17. Clark, R.N.; Stankey, G.H. The Recreation Opportunity Spectrum: A Framework for Planning, Management, and Research; General Technical Report. PNW-GTR-098; U.S. Department of Agriculture, Forest Service, Pacific Northwest Forest and Range Experiment Station: Portland, OR, USA, 1979; 32p.
  18. National Park Service. The Visitor Experience and Resource Protection (VERP) Framework: A Handbook for Planners and Managers; U.S. Department of the Interior, National Park Service: Denver, CO, USA, 1997. Available online: https://npshistory.com/publications/social-science/verp-handbook.pdf (accessed on 8 February 2026).
  19. Zeng, W.; Zhong, Y.; Li, D.; Deng, J. Classification of Recreation Opportunity Spectrum Using Night Lights for Evidence of Humans and POI Data for Social Setting. Sustainability 2021, 13, 7782. [Google Scholar] [CrossRef]
  20. Stankey, G.H.; Cole, D.N.; Lucas, R.C.; Petersen, M.E.; Frissell, S.S. The Limits of Acceptable Change (LAC) System for Wilderness Planning; General Technical Report. INT-176; U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station: Ogden, UT, USA, 1985; 37p. [CrossRef]
  21. Interagency Visitor Use Management Council. Visitor Use Management Framework: A Guide to Providing Sustainable Outdoor Recreation; Interagency Visitor Use Management Council: Washington, DC, USA, 2016. Available online: https://visitorusemanagement.nps.gov/Content/documents/VUM_Framework_Edition%201_508%20Compliant_IVUMC.pdf (accessed on 8 February 2026).
  22. Leung, Y.-F.; Spenceley, A.; Hvenegaard, G.; Buckley, R.; Groves, C. Tourism and Visitor Management in Protected Areas: Guidelines for Sustainability; IUCN: Gland, Switzerland, 2018. [Google Scholar] [CrossRef]
  23. Gundersen, V.; Tangeland, T.; Kaltenborn, B.P. Planning for Recreation Along the Opportunity Spectrum: The Case of Oslo, Norway. Urban For. Urban Green. 2015, 14, 210–217. [Google Scholar] [CrossRef]
  24. Liu, J.; Huang, X.; Guo, H.; Zhang, Z.; Li, X.; Ge, M. Study on Functional Zoning Method of National Park Based on MCDA: The Case of the Proposed “Ailaoshan–Wuliangshan” National Park. Land 2022, 11, 1882. [Google Scholar] [CrossRef]
  25. Vurnek, M.; Tomljenović, R.; Žuvela, I.; Dolenec, D. Using the ROS Framework for Visitor Management Zoning in Plitvice Lakes National Park, Croatia. Eur. J. Environ. Sci. 2019, 9, 87–95. [Google Scholar] [CrossRef]
  26. Gramann, J.H. Toward a Behavioral Theory of Crowding in Outdoor Recreation: An Evaluation and Synthesis of Research. Leis. Sci. 1982, 5, 109–126. [Google Scholar] [CrossRef]
  27. Arnberger, A.; Mann, C. Crowding in European Forests: A Review of Recent Research and Implications for Forest Management and Policy. Forestry 2008, 81, 559–571. [Google Scholar] [CrossRef]
  28. Yoon, T.K.; Myeong, J.Y.; Lee, Y.; Choi, Y.E.; Lee, S.; Lee, S.; Byun, C. Are You Okay with Overtourism in Forests? Path Between Crowding Perception, Satisfaction, and Management Action of Trail Visitors in South Korea. For. Policy Econ. 2024, 161, 103184. [Google Scholar] [CrossRef]
  29. Sever, I.; Verbič, M. Assessing Recreational Values of a Peri-Urban Nature Park by Synthesizing Perceptions and Preferences of Trail Users. J. Environ. Psychol. 2019, 63, 101–108. [Google Scholar] [CrossRef]
  30. Hung, W.-L.; Hsieh, L.-W. Coping as a Moderator of the Relation Between Recreation Hassles and Hiker Satisfaction. Contemp. Manag. Res. 2014, 10, 273–286. [Google Scholar] [CrossRef]
  31. Liu, R.; Xiao, J. Factors Affecting Users’ Satisfaction with Urban Parks Through Online Comments Data: Evidence from Shenzhen, China. Int. J. Environ. Res. Public Health 2021, 18, 253. [Google Scholar] [CrossRef]
  32. Hygge, S.; Evans, G.W.; Bullinger, M. A Prospective Study of Some Effects of Aircraft Noise on Cognitive Performance in Schoolchildren. Psychol. Sci. 2002, 13, 469–474. [Google Scholar] [CrossRef]
  33. Hall, T.; Shelby, B. Temporal and Spatial Displacement: Evidence from a High-Use Reservoir and Alternate Sites. J. Leis. Res. 2000, 32, 435–456. [Google Scholar] [CrossRef]
  34. Manning, R.E.; Valliere, W.A. Coping in Outdoor Recreation: Causes and Consequences of Crowding and Conflict Among Community Residents. J. Leis. Res. 2001, 33, 410–426. [Google Scholar] [CrossRef]
  35. Peden, J.; Schuster, R.M. Displacement in Wilderness Environments: A Comparative Analysis. Int. J. Wilderness 2009, 15, 23–29. Available online: https://digitalcommons.georgiasouthern.edu/ecology-facpubs/167 (accessed on 8 February 2026).
  36. Espiner, N.; Degarege, G.; Stewart, E.J.; Espiner, S. From Backyards to the Backcountry: Exploring Outdoor Recreation Coping Strategies and Experiences During the 2020 COVID-19 Pandemic in New Zealand. J. Outdoor Recreat. Tour. 2023, 41, 100497. [Google Scholar] [CrossRef]
  37. Fefer, J.P.; Hallo, J.C.; Collins, R.H.; Baldwin, E.D.; Brownlee, M.T.J. From Displaced to Misplaced: Exploring the Experience of Visitors Who Were “Crowded Out” of Their Recreation Destination. Leis. Sci. 2024, 46, 1–20. [Google Scholar] [CrossRef]
  38. Sabatini, M.; Verdiell, A.; Iglesias, R.M.R.; Vidal, M. A Quantitative Method for Zoning of Protected Areas and Its Spatial Ecological Implications. J. Environ. Manag. 2007, 83, 198–206. [Google Scholar] [CrossRef] [PubMed]
  39. Eagles, P.F.J.; McCool, S.F.; Haynes, C.D. Sustainable Tourism in Protected Areas: Guidelines for Planning and Management; IUCN: Gland, Switzerland, 2002; Available online: https://portals.iucn.org/library/efiles/documents/PAG-008.pdf (accessed on 8 February 2026).
  40. Marion, J.F. A Review and Synthesis of Recreation Ecology Research Supporting Carrying Capacity and Visitor Use Management Decision making. J. For. 2016, 114, 339–351. [Google Scholar] [CrossRef]
  41. Sardar, S.; Islam, M.M. The Impact of Recreational Activities on Ecology: An Evidence-Based Systematic Review and Bibliometric Analysis. Sustainability 2025, 17, 74. [Google Scholar] [CrossRef]
  42. Selvaag, S.K.; Keller, R.; Aas, Ø.; Gundersen, V.; Singsaas, F.T. On-Site Communication Measures as a Tool in Outdoor Recreation Management: A Systematic Map. Environ. Evid. 2023, 12, 14. [Google Scholar] [CrossRef]
  43. Azizi, F.; Ghaderi, Z.; Shekari, F. Half-Century Qualitative Research in Tourism and Hospitality: A Bibliometric Analysis. J. Qual. Res. Tour. 2024, 5, 77–108. [Google Scholar] [CrossRef]
  44. Perry, E.E.; Thomsen, J.M.; D’Antonio, A.L.; Morse, W.C.; Reigner, N.P.; Leung, Y.-F.; Wimpey, J.; Taff, B.D. Toward an Integrated Model of Topical, Spatial, and Temporal Scales of Research Inquiry in Park Visitor Use Management. Sustainability 2020, 12, 6183. [Google Scholar] [CrossRef]
  45. Chiang, Y.-J. Multisensory Stimuli, Restorative Effect, and Satisfaction of Visits to Forest Recreation Destinations: A Case Study of the Jhihben National Forest Recreation Area in Taiwan. Int. J. Environ. Res. Public Health 2023, 20, 6768. [Google Scholar] [CrossRef]
Figure 1. Conceptual micro-zoning model for intensively used forest recreation sites, illustrating the spatial relationship between Drive-in Forest Recreation, Low-Intensity Recreation, and Trails for Active Recreation, connected through internal paths and shared visitor infrastructure.
Figure 1. Conceptual micro-zoning model for intensively used forest recreation sites, illustrating the spatial relationship between Drive-in Forest Recreation, Low-Intensity Recreation, and Trails for Active Recreation, connected through internal paths and shared visitor infrastructure.
Land 15 00506 g001
Table 1. Age distribution of respondents (N = 302).
Table 1. Age distribution of respondents (N = 302).
Age Group 1N%
18–253712.3
26–405718.9
41–507023.2
51–606922.8
61–704615.2
71–80206.6
80+31.0
Total302100%
1 For inferential statistical analysis, age groups were aggregated into three broader cohorts (18–40, 41–60, and 61+) to ensure sufficient group sizes for statistical testing.
Table 2. Significant associations between visitor characteristics and recreation preferences.
Table 2. Significant associations between visitor characteristics and recreation preferences.
Variables Comparedχ2dfp-Value
Residential distance × importance of children’s play facilities69.3720<0.001
Residential distance × importance of access to cycling and running trails53.7520<0.001
Importance of short walking trails × importance of picnic infrastructure (tables, seating, and shaded areas)44.2310<0.001
Importance of secluded spaces separated from other visitors × importance of a natural and quiet forest atmosphere23.165<0.001
Table 3. Empirically Derived Visitor Typologies and Corresponding Micro-Zones.
Table 3. Empirically Derived Visitor Typologies and Corresponding Micro-Zones.
Micro-ZoneVisitor TypologyCore UsePreferencesDisturbances
Low-Intensity RecreationModerate-use, low-noise, nature-oriented areaPicnic and peaceful relaxation in nature may include a short walkPeaceful, natural atmosphere; seclusion; short walking trails; basic infrastructure as supportMusic; crowding/noise; litter/lack of consideration
Drive-in Forest RecreationIntensive, infrastructure-oriented useSocial gatherings, celebrations, motorized stops, campingConvenient vehicle access; dense picnic infrastructure; children’s facilities; services; tolerance of musicUnspaced tables that create crowding, loud music, and a heavy presence of cars and off-road vehicles
Active Recreation UseMovement-focused useWalking, hiking, running, cycling; gateway useConvenient trail access; proximity to entrance facilities; limited need for dense picnic infrastructureCrowding/noise; heavy presence of cars and off-road vehicles
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Ketter, E.; Spiegel, Y.; Collins-Kreiner, N. Visitor Typologies for Micro-Zoning in Forest Recreation Sites. Land 2026, 15, 506. https://doi.org/10.3390/land15030506

AMA Style

Ketter E, Spiegel Y, Collins-Kreiner N. Visitor Typologies for Micro-Zoning in Forest Recreation Sites. Land. 2026; 15(3):506. https://doi.org/10.3390/land15030506

Chicago/Turabian Style

Ketter, Eran, Yaara Spiegel, and Noga Collins-Kreiner. 2026. "Visitor Typologies for Micro-Zoning in Forest Recreation Sites" Land 15, no. 3: 506. https://doi.org/10.3390/land15030506

APA Style

Ketter, E., Spiegel, Y., & Collins-Kreiner, N. (2026). Visitor Typologies for Micro-Zoning in Forest Recreation Sites. Land, 15(3), 506. https://doi.org/10.3390/land15030506

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop