Next Article in Journal
Assessing the Trophic Condition of a Reservoir: A Combined Analysis of Watershed, Inter-Lake Connections and Internal Nutrient Loads
Previous Article in Journal
An Evaluation of Urban Living Street Space Quality from a Public Health Perspective: A Case Study of Changsha Central Urban Area
Previous Article in Special Issue
Driving Mechanisms of Blue–Green Infrastructure in Enhancing Urban Sustainability: A Spatial–Temporal Assessment from Zhenjiang, China
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Landscape Route Sharing Ratio in Nature-Integrated Community: Cross-Boundary Features and Design Implications

1
College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China
2
Tongji Architectural Design (Group) Co., Ltd., Shanghai 200092, China
*
Author to whom correspondence should be addressed.
Land 2026, 15(3), 519; https://doi.org/10.3390/land15030519
Submission received: 11 February 2026 / Revised: 15 March 2026 / Accepted: 18 March 2026 / Published: 23 March 2026

Abstract

Amid rapid urbanization in China, widespread gated residential districts have created physical and visual isolation from surrounding nature, undermining environmental benefits and daily accessibility. The emergence of a twenty-first-century “sharing” paradigm reshapes how buildings and landscapes are used and experienced, opening new opportunities for diversified sharing between communities and natural systems. Yet, despite mature research on city-scale landscape sharing, micro-scale tools to balance sharing versus exclusive route allocation—and to operationalize cross-system sharing-route design—remain limited. This study examines nature-integrated community design through the Landscape Route Sharing Ratio (LRSR), a metric derived from the Length and Density of Sharing Landscape Route (Ls/Ds), the Length and Density of Non-shared Landscape Route (Lns/Dns). It analyzes eight cases using a mixed-methods approach (field surveys, spatial mapping, planning-document review and quantitative measurement), and identifies five core cross-system features through typological analysis: extension to surrounding landscapes (ENL), cross-boundary landscape axes (CBLA), multi-scale hierarchy (MSH), multi-elevation systems (MES), and non-motorized priority (NMP). This study demonstrates that higher LRSR values significantly enhance landscape integration and pedestrian experiences. By establishing actionable target ranges (0.50–0.70), the research provides a practical decision-support tool for nature-integrated community design, advancing the methodological understanding of how shared routes foster ecological and social vitality in contemporary urban environments. The framework effectively bridges the gap between quantification with design guidance for nature-integrated communities.

1. Introduction

Over recent decades, rapid urbanization in China has led to the widespread development of gated residential communities characterized by inward-facing layouts and limited public access [1,2]. While historically associated with safety and management efficiency, this model has produced significant spatial and ecological separation from surrounding natural systems, reducing everyday exposure to landscapes and limiting ecological flows [3,4]. As research in environmental psychology and urban health indicates, such disconnections weaken the restorative and cultural value of nature in daily life.
Meanwhile, the rise of the twenty-first-century “sharing paradigm”—including shared space, mobility and services—has reshaped expectations of residential environments [5,6,7]. Instead of isolated enclaves, communities are increasingly viewed as intermediary layers within broader mountain–water urban systems, where shared pedestrian routes, greenways and ecological corridors mediate the interaction between residents, visitors and nature [8,9]. These shifts underscore the need for residential environments that safeguard privacy while offering opportunities for sociability and flexible engagement with natural landscapes.
Although extensive work exists on macro-scale ecological networks, greenway planning, and nature-based solutions [10,11,12], a gap remains at the micro scale: few methods evaluate how much and in what form shared routes should be incorporated within communities. Current metrics emphasize public-space accessibility or regional connectivity but rarely differentiate between shared and exclusive pedestrian routes at the community scale. As a result, design discussions on community–landscape integration often remain conceptual, lacking operational tools to inform route allocation strategies.
To advance this field of study, this research regards nature-integrated communities as a typological category where residential environments and natural landscapes coexist through diverse spatial configurations. It aims to explore what spatial design approaches and to what extent of sharing can be applied to landscape routes within nature-integrated communities to achieve positive interactions with natural landscapes.
Against this backdrop, this study adopts a mixed-methods approach combining qualitative and quantitative analyses. By means of morphological and typological spatial diagramming, it integrates five design features of cross-system shared routes—Extension to Natural Landscapes, Organizational Axes, Multi-scale Hierarchy, Multi-elevation Systems, and Non-motorized Priority—into the analytical framework. Meanwhile, the Landscape Route Sharing Ratio (LRSR) is introduced as a micro-scale quantitative indicator to measure the relative proportion of shared routes within the overall pedestrian network of residential communities.
Through empirical analysis of 8 representative cases of nature-integrated communities, this research explores the potential coupling mechanism between LRSR and the five cross-system shared route design features, thereby providing a reference basis for the spatial planning and design of nature-integrated communities from the perspective of shared routes.

2. Literature Review

2.1. Urban and Peri-Urban Nature-Integrated Communities

Rapid urbanization has turned residential areas into critical interfaces between urban footprints and natural systems [13,14]. However, the prevalence of gated communities in China has created significant spatial and visual isolation from landscape infrastructures, such as rivers and green corridors, hindering ecological permeability and daily nature exposure [15]. Emerging frameworks like Landscape Urbanism, Shan-Shui City, and Park City advocate for reframing residential districts as active components of the urban landscape rather than isolated units [16,17,18]. Nature-integrated communities are understood as settings where communities and urban green spaces are mutually embedded and co-structured, enabling ecological flows, biodiversity and multi-scalar public use [19,20]. This shift aligns with the 21st-century “sharing paradigm,” where communities must balance privacy with the increasing demand for collective space and nature interaction [21,22].
Despite these theoretical advancements, a fundamental tension persists between traditional gated morphologies and the need for synergistic urban-rural ecological development. While Landscape Urbanism emphasizes infrastructural connectivity, it often overlooks the micro-scale link between communities and urban networks [23,24]. Enclosed walls remain dual impediments to both ecological flows and social interaction [17,25]. Consequently, fragmented internal paths fail to couple with regional ecological networks [26,27]. This spatial decoupling results in limited nature experiences for residents and functional discontinuities within the ecosystem.
To bridge this gap, a design evaluation framework that quantifies both spatial sharing and ecological connectivity is urgently needed. Current research often focuses on single-dimension metrics—either ecological (e.g., green coverage) or behavioral (e.g., walkability) [28,29,30]. The role of “sharing pathways” as key mediators linking social needs and ecological functions remains under-analyzed. Since route networks serve as conduits for both daily human engagement and ecological processes [31], a dual-dimensional model is essential. Such a framework can reveal how different spatial typologies balance private domains with public resources, offering precise guidance for sustainable, nature-integrated community design.

2.2. Sharing Spatial Networks, Green-Blue Infrastructure and Slow Mobility

Within this transformation, sharing spatial networks—such as pedestrian routes and community greenways—have emerged as vital mediators between residential life and landscape systems. Blue-green infrastructures, including rivers and ecological corridors, serve as structural backbones for urban environments [32,33,34]. When integrated with slow-mobility systems, these infrastructures form landscape routes that link city-scale networks with neighborhood experiences. Research on multi-level pedestrian networks and elevated promenades indicates that route configurations (e.g., hierarchy, elevation, loops) fundamentally dictate how residents access nature and how landscape vitality penetrates communities [35,36]. Conversely, route systems in gated districts often remain inward-looking and fragmented, lacking cross-system connectivity and permeability [37,38]. This gap highlights the necessity of using sharing routes as strategic tools to integrate communities into broader ecological networks.
Yet, the effective integration of sharing routes with blue-green infrastructure faces systemic challenges rooted in segmented planning paradigms [39,40]. In many Chinese cities, jurisdictional boundaries separate the management of ecological corridors from residential circulation, causing mismatches in design standards [41]. For example, municipal greenways often terminate at gated community boundaries, disrupting potential synergies. This administrative fragmentation is exacerbated by a development tendency to treat sharing spaces as aesthetic amenities rather than ecological conduits [42]. As a result, the capacity of green-blue elements to support biodiversity or microclimate regulation is constrained without a continuous, accessible slow-mobility network [43].
Addressing these limitations requires reconceiving sharing routes as multi-functional landscape interventions. Emerging research suggests that pathways, through thoughtful plan and section configuration, can act as “ecological stitching”—reconnecting habitats, managing stormwater, and fostering social interaction [44,45,46]. Moving beyond conventional “internal circulation” typologies toward a hybrid approach is essential. This requires collaborative frameworks that align architecture, landscape, and infrastructure engineering across scales, reimagining sharing networks as embedded ecological infrastructure to enhance both environmental resilience and everyday nature experiences.

2.3. Quantitative Evaluation of Sharing Routes and Research Gap

Despite progress in evaluating walkability and spatial connectivity, few quantitative tools differentiate between sharing and exclusive routes at the community scale. Existing indicators—such as network density and space syntax—primarily analyze public road systems [47]. For example, existing studies have confirmed the influence of urban street-level features on pedestrian movement, these methods may exhibit limitations when applied to micro-scale community environments [48]. First, quantitative tools are highly sensitive to scale. At the micro-community level, the variance in environmental scale and route choice diminishes, making it difficult to capture the impact of subtle differences on pedestrian behavior. Second, although previous research has explored the relationship between different land uses and transportation interactions [49,50,51], these models tend to weaken the critical distinction in right-of-way, particularly between internal routes within gated communities and sharing routes. This fails to fully explain the inherent permeability and accessibility issues within the Chinese context, nor does it provide a quantitative framework for assessing the quality of sharing routes within these communities.
Consequently, these findings are rarely translated into design strategies or extended to complex transportation dimensions [52,53], revealing three main gaps: (1) the absence of pathway metrics grounded in the sharing concept; (2) an integrated framework for the holistic analysis of diverse transportation systems, such as public roads and community pathways, has yet to be established.; and (3) limited empirical evidence exists on how diverse spatial typologies within communities foster sharing and integrate enclosed pathways.
The present study therefore introduces the Landscape Route Sharing Ratio (LRSR) as a community-scale indicator, integrates it with a set of cross-system design features and typologies. The proposed LRSR integrates path morphology with quantitative methods to focus on the connectivity and sharing between transportation networks and intra-community traffic. It explicitly distinguishes between routes that facilitate community-landscape integration and those serving exclusively internal functions. This distinction proves particularly valuable for diagnosing spatial configurations in different typologies.

3. Materials and Methods

3.1. Case Selection and Data Collection

Eight representative cases from multiple regions in China form the empirical basis (Table 1). Case selection follows the following criteria:
(1)
Diversity of landscape types. China is rich in diverse mountain-water resources, generally categorized into three major types: mountain landscapes, waterfront landscapes and composite landscapes. It selects representative cities for each category, and further screens research cases from them.
(2)
Forward-looking spatial characteristics: Since the housing reform in the 1990s, a large number of residential communities have been built in China. However, most communities developed with a strong commercial orientation exhibit homogenized and enclosed characteristics. The 8 selected cases are all completed community projects publicly published in professional design journals by renowned architects or design institutes (Table 1), featuring certain experimental and forward-looking attributes. They hold guiding significance for the design of China’s nature-integrated communities, which are still in the exploration stage.
Through extensive literature research, preliminary screening of mountain-water community cases built in China after the 1990s was conducted to ensure the selected cases are representative and scientifically valuable. On this basis, key research cases were further screened, and field investigations were carried out, including direct observation and documentation methods such as on-site measurements, photographic records, mapping, and interviews. These efforts aimed to collect first-hand detailed data and information. Ultimately, 8 nature-integrated community cases were selected as the focus of this study.
Data sources include field surveys, Google Map (Web version, 2026) satellite imagery, and publicly available planning drawings. To verify the alignment between the LRSR metric and real-world operational logic, semi-structured consultations or in-depth on-site interviews were conducted with key informants (including project managers and planning consultants) from representative cases such as Xiamen Guomao Tianqin Community, Beihai Beibuwan No. 1 Community, and Ningbo Jiangshangyin Community. The qualitative insights obtained serve as a supplementary calibration for the morphological analysis, ensuring that the identified transboundary features and design implications are grounded in practical feasibility. The summary of these stakeholder consultations is provided in Appendix A.

3.2. Research Methods

Based on eight case studies, this paper adopts a comprehensive research method integrating qualitative and quantitative approaches, incorporating morphological methods, indicator construction, spatial measurement, and empirical evaluation (Figure 1).

3.2.1. Qualitative Analysis: Urban Morphological and Typological Method

The qualitative component of this study combines urban morphology, architectural typology, and diagrammatic (graphic) analysis to systematically interpret how pedestrian routes interact with the spatial form of nature-integrated communities.
Urban morphology, following the Conzenian and typomorphological traditions, views urban form as a layered system comprising street networks, plot structures, building fabric, open spaces, and landscape elements [54,55,56]. In this study, these principles guide the examination of community boundaries and edge conditions, the organization of internal circulation networks, the relationship between built form, topography, and adjacent natural systems, the degree of permeability between community spaces and surrounding landscapes.
To operationalize this analytical framework, based on planning documents, satellite imagery, and field survey data, this study reconstructs simplified axonometric drawings, sectional diagrams, and schematic plans through spatial diagramming, thereby distilling complex spatial conditions into comparable analytical models. Focusing on spatial structural relationships, hierarchical logic, and circulation organization, diagrammatic analysis serves to identify the operational mechanisms of landscape-related pedestrian routes under different design strategies.

3.2.2. Quantitative Analysis: Measurement and Comparison of the LRSR Index

This study proposes the Landscape Route Sharing Ratio (LRSR) as a core indicator to quantify the balance between shared and non-shared routes within nature-integrated communities. The formulation of LRSR is consistent with previously established measurement models for nature-integrated communities, in which route length and route density jointly describe the structure of the pedestrian system.
The measurement of LRSR in this study is defined as follows: 1. Landscape routes are limited to pedestrian paths with close accessibility to natural landscapes, excluding functional corridors such as motor vehicle lanes and fire lanes; 2. path boundaries are based on the community site boundary, and only the path system within the site boundary is included; 3. path classification criteria include shared paths that refer to paths open to non-residents unconditionally or conditionally (e.g., via registration or reservation), and non-shared paths refer to paths accessible only to community residents.
The definitions and measurement purposes of the aforementioned indicators are presented in the Table 2:
To reduce ambiguity in distinguishing shared from non-shared routes, this study further classifies openness conditions into three levels: (1) fully open routes accessible to all visitors without registration; (2) conditionally open routes accessible via registration, reservation, or time-based management; (3) resident-only routes with controlled access. In the LRSR calculation, levels (1) and (2) are counted as shared routes while level (3) is classified as non-shared.
LRSR is defined as the proportion of shared route length in the total route length of a community:
LRSR = L s L s + L n s
where Ls denotes the total length of shared routes, i.e., publicly accessible paths that support collective use, social interaction and cross-system access, and Lns represents the total length of non-shared (exclusive) routes, i.e., circulation segments primarily serving private or restricted movement.
Route length is the basic metric for assessing the scale of the circulation network. The magnitude of Ls intuitively reflects the overall amount of shared route resources available to residents, whereas Lns captures the extent of routes dedicated to private or semi-private activities. Comparing these two values provides an initial picture of how a community allocates its route system between shared and exclusive functions.
To describe spatial intensity rather than scale alone, we further compute route density per unit land area. Shared-route density Ds, non-shared-route density Dns, and total route density D are defined as Formulas (2)–(4):
D s = L s S 0
D n s = L n s S 0
D = D s + D n s
where Ds denotes the density of shared routes, Dns the density of non-shared routes, and D the overall route density; S0 is the total land area of the community. A higher Ds indicates a denser and more fine-grained shared route network, while Dns reveals the intensity of private circulation. Together, these density measures offer quantitative support for evaluating the spatial rationality of the route layout.

4. Results

4.1. LRSR Measurement Results

Following the measurement indicators for the Landscape Route Sharing Ratio (LRSR) established in the methodology section, the shared and non-shared circulation routes across the eight selected communities were digitized and measured on site plans via AutoCAD 2013. The spatial distribution and mapping results are presented in Figure 2.
To further examine LRSR’s functional significance, each case was evaluated according to the five cross-system features. Strong correlations are observed between high LRSR and the comprehensive presence of cross-system features, particularly in communities with multi-elevation systems and multi-scale hierarchies.
Notably, extension to natural landscapes and non-motorized priority show the strongest alignment with increased shared-route proportions. This suggests that the more a community intends to enable public interaction with nature, the more it structurally depends on shared routes.
Multi-elevation systems serve as a particularly influential factor in nature-integrated communities. Elevated platforms, sunken gardens, and transition ramps substantially expand the shared-route network by providing additional layers of movement beyond conventional ground-level paths. These systems not only boost the length of shared routes but also offer diverse vantage points, enabling experiential richness that contributes to community–landscape integration.
For cases where LRSR reaches 1.0 (e.g., Beibuwan No. 1 and Lixian Future Community), this value results from podium-level continuous open spaces or elevated public gardens that dominate the circulation system rather than a complete absence of residential exclusivity. These configurations reflect specific design strategies that prioritize urban integration and vertical layering, and therefore should not be interpreted as fully eliminating private circulation spaces (Table 3).

4.2. Spatial Characteristics of Cross-System Shared Routes

The cross-boundary landscape circulation system plays a significant role in enhancing the continuity of landscapes both within and outside the community. Its goal is to improve the coherence of the community’s internal landscape and spatial system, while also strengthening the interaction between the community and its external environment through multidimensional spatial design.
The Cross-System contains 5 core elements: Extension to Natural Landscapes (ENL), Cross-boundary Landscape Axes (CBLA), Multi-scale Hierarchy (MSH), Multi-elevation Systems (MES) and Non-motorized Priority (NMP).

4.2.1. Extension to Natural Landscapes (ENL)

This system uses strategic design methods to integrate the internal landscape elements of the community with the surrounding natural landscapes, achieving a seamless visual and ecological transition that extends the landscape [57], creating continuity both visually and ecologically.
Positioned on the Jialing River’s northern riparian slopes, the Chunsen Bi’an community represents a sophisticated response to complex topographical constraints. With a high density (plot ratio 4.88) and significant topographic relief (72 m elevation difference), the design utilizes a five-tiered terracing system and a topography-responsive central spine to bridge the vertical gap between the riverside and the upper urban fabric [58,59].
The spatial evolution of its sharing network was catalyzed by the 2020 completion of the Zengjiayan Bridge [59]. This infrastructure served as a pivot for reconfiguring three primary pedestrian trajectories: a cross-river link integrated with the bridge’s infrastructure, an ascending path connecting to a hilltop communal node and transit hub (Liyuchi Station), and a descending route optimized for riverfront engagement via a series of scenic lookouts. These paths converge to form a tri-directional shared network, effectively transforming the gated residential enclave into a permeable urban node that facilitates cross-boundary connectivity between the community, the river, and the broader metropolitan transit system (Figure 3).
Beibuwan No. 1 in Beihai, Guangxi, utilizes a top-level concession strategy, ceding 80% of the site to the city via a shared garden atop the building’s podium [60]. This platform offers urban functions such as scenic viewpoints, leisure areas, and dining overlooking the Beibuwan coastline, while residential functions are consolidated into linear, mountain-shaped high-rises on the north side to maximize site liberation. The 8 m-high rooftop garden serves as a public amenity without gates or walls, accessible via community entrances and a dedicated coastal tourist gate.
The podiums of Phase I (300 m wide) and Phase II (350 m wide) are bifurcated at the ground level by arched openings to allow urban roads to pass through. Visitors access the rooftop shared network via lateral ramps along the urban roads or through the coastal entrance on Lianzhouwan Avenue, where elevators lead to the third-floor viewing platform. Facilities such as infinity pools and sunken lounges further diversify the community’s urban functions, demonstrating a successful model of vertical landscape integration (Figure 4).

4.2.2. Cross-Boundary Landscape Axes (CBLA)

The design emphasizes landscape axes that break traditional physical boundaries [61]. Through these axes, the isolation between the community and its surrounding environment is eliminated, promoting spatial flow and openness.
The central green axis of Xiamen Guomao Tianqin Community, about 30 m wide, extends beyond the site and connects to the Wuyuan Bay Wetland Park to the north, creating a layered landscape from the outer sea to the inner bay and the park. The layout adopts a “one axis, one belt, two connections” design, spanning two city blocks [62]. The green axis is linked by pedestrian bridges to the northern wetland park and southern office district, with convenient connections through corridors and underground parking. Small commercial, dining, and entertainment facilities line both sides of the green axis, forming an open layout with water features, walking paths, and ancient trees creating a rich, shared landscape corridor (Figure 5).

4.2.3. Multi-Scale Hierarchy (MSH)

The design considers spatial needs at different scales, from large-scale regional planning to micro-scale pedestrian pathways, creating a rich spatial hierarchy that meets the needs of various users and offers diverse experiences.
Guided by the Multi-scale Hierarchy (MSH) framework, the Ningbo Jiangshangyin Community hierarchically defines its riverside and street interfaces through strategic planning controls, ensuring the progressive calibration of spatial sharing. This is achieved via architectural interventions like ground-floor piloti (elevated spaces) and semi-enclosed courtyards. Along the riverside, seven elevated nodes totaling 136 m in width—exceeding one-third of the site’s riverfront—maximize public permeability. The streetscape is further diversified by commercial setbacks and plazas, maintaining a fine-grained grain with continuous building lengths under 10 m. These small-scale waterfront courtyards (approx. 7 m × 8 m) not only bolster commercial vitality but also preserve the regional “living by water” heritage (Figure 6a).
Wuxi Sunshine 100 International Community constructs a “multi-level courtyard” system based on the MSH concept. Progressing from the riverside Shuicheng Road to internal residential clusters, it realizes landscape penetration and spatial hierarchical transition through the alternation of “extroverted-introverted-semi-enclosed” courtyards, improving privacy. The residential courtyards of the Wuxi project are ~50 m × 100 m, while the waterfront courtyards of Ningbo Jiangshangyin Community are ~7 m × 8 m. These scale differences adapt to residential aggregation and commercial-cultural functions respectively, reflecting the functional adaptability of the MSH concept (Figure 6b).

4.2.4. Multi-Elevation Systems (MES)

By employing multi-level terracing to negotiate topographic variations, MES serves a dual purpose. Structurally, it enables the configuration of serpentine or looped path networks that optimize pedestrian connectivity. Spatially, the elevation shifts broaden the visual corridors of residential units, effectively integrating external natural assets into the domestic experience through the traditional technique of “borrowed scenery.” (Figure 7).
In the site planning and layout of the Baixiangju community in Chongqing, the designers ingeniously conceived the “aerial passage level” and the “public social corridor,” driven by the prevailing design codes of that time and the developer’s cost-saving considerations [63]. Today, this public social corridor, which connects all six butterfly shaped buildings, has evolved into a renowned scenic sharing corridor that attracts numerous tourists across various social media platforms. Guided by “visiting strategies” found on platforms like Xiaohongshu and Douyin, visitors explore and photograph the semi-open shared corridors, outdoor staircases, and rooftop platforms. This multi-level sharing path has become a media catalyst for unique urban experiences in Chongqing on social networks, demonstrating remarkable vitality both online and offline.
In the Liandu Future Community (Lishui, Zhejiang), an elevated “High Line Park” functions as a 5 m-high aerial pedestrian spine traversing the settlement’s north–south axis [64,65]. A key design feature is its hierarchical access management: while the promenade is accessible to the public via the southern lobby and northern youth apartment exits, the interface between this elevated route and the private residential clusters is secured by encrypted gate systems reserved for inhabitants. This configuration allows tourists to experience the elevated landscape without compromising residential privacy. This structural axis serves as a multi-functional catalyst, linking thematic nodes such as sports courts and social plazas. Simultaneously, the sheltered space under the deck is utilized for “trans-clubhouse” programs—including communal “living rooms” and play areas—effectively creating a continuous, weather-protected corridor that enhances the ground-level permeability (Figure 8).

4.2.5. Non-Motorized Priority (NMP)

The design emphasizes the importance of non-motorized transportation. By incorporating walking and biking paths, it encourages residents to adopt slow transportation, enhancing community accessibility, promoting healthier lifestyles, and reducing environmental impact.
Quzhou Lixian Future Community arranges two primary openings emphasizing both visual and spatial qualities along the riverfront interface. Sidewalks and bicycle lanes are seamlessly connected to these openings, guiding residents and visitors to access the internal courtyard spaces through non-motorized travel. Meanwhile, the riverside natural landscape is deeply integrated with the non-motorized system, making the landscape an extension of the slow-travel experience [66].
The courtyard spaces located on the podium roof stretch along the riverbank, forming an irregular spatial sequence that extends deep into the urban hinterland. These courtyards are interconnected by S-shaped routes, enhancing the experience of “winding paths leading to sequestered tranquility.” Serving not only as transitional spaces, the courtyards also accommodate diverse functions such as fitness, relaxation, and landscape viewing, enabling residents to engage in daily activities amidst the natural environment (Figure 9).
Based on this, a 1–5 scoring system (5 = strongest implementation intensity, 1 = weakest) is adopted following a five-level “strong-weak” gradient. Combined with the five core features of the cross-boundary shared route system, the implementation intensity criteria for each feature across the cases are defined. Guided by a three-dimensional evaluation logic encompassing “planning and design implementation degree + spatial usage efficiency + goal achievement degree,” the criteria are established through field surveys, planning drawing analysis, and case usage feedback. Although this constitutes a subjective quantification approach, the explicit definition of core indicators and judgment standards for each intensity level minimizes evaluation bias, making it suitable for the comparative analysis of cross-boundary route systems. The evaluation criteria for the implementation intensity of the five core elements of the cross-boundary shared route system are presented in Appendix B.
Although the scoring adopts a structured five-level system, it remains a semi-subjective assessment based on field observations, planning documents, and user feedback. Explicit criteria for each level were defined to minimize evaluator bias, but the results should be interpreted as expert-informed judgments rather than mechanical measurements.

5. Discussion

Building upon the empirical results presented in Section 4, two primary findings emerge. First, cross-system features—specifically extension to natural landscapes (ENL) and multi-elevation systems (MES)—demonstrate a strong, tiered association with higher LRSR values. Second, LRSR operates as an integrative indicator that quantitatively captures the coupling between community openness, landscape permeability, and the depth of nature-based experiences. Although this study does not explicitly calculate the construction cost of shared landscape routes in communities, a higher LRSR generally signifies more efficient path reuse and landscape utilization, which helps optimize the cost allocation of community and municipal infrastructure in the long run.
The findings suggest that LRSR serves not only as an evaluative indicator but also as a strategic framework for planning and design. Its practical implications extend across typological mechanisms, cross-system feature integration, and broader urban design strategies.
However, given the limited sample size (n = 8), the relationships identified should be interpreted as qualitative associations rather than statistically validated correlations. Future research utilizing larger datasets is required to perform quantitative tests such as correlation analysis or regression modeling.

5.1. Mechanism for LRSR Enhancement and the Coupling Effect of Spatial Design Features

The quantitative evaluation results of the five cross-system features indicate that the improvement of LRSR (Landscape-Related Spatial Reachability) is not driven by a single design method, but is closely related to the “combination package” of cross-system shared route features. When a community integrates four or more of these features (e.g., Extension to Natural Landscapes, Multi-scale Hierarchy, Multi-elevation Systems, Non-motorized Priority), its LRSR value in the observed cases exceeds 0.70; conversely, communities implementing only one or two of these features mostly have an LRSR value below 0.60. This hierarchical relationship demonstrates that the “systematic construction” of shared path networks is far more critical than scattered individual optimizations.
While traditional urban morphology studies, such as those utilizing Space Syntax, emphasize the topological importance of street networks in public domains [67,68], they often overlook the “soft boundaries” and management constraints inherent in gated residential areas. Our findings suggest that LRSR fills this gap by quantifying the actual shared interface. Unlike the linear landscape connectivity in residential communities [3], the LRSR in nature-integrated communities is highly sensitive to the cross-system Landscape Axes (CBLA), which convert “dead ends” of gated enclaves into “active nodes” of urban ecological networks.
Among these features, “Extension to Natural Landscapes” and “Non-motorized Priority” are the two most fundamental core elements. The former explicitly directs shared paths toward natural resources such as rivers, mountains, and wetlands, making them the preferred channels for residents to interact with nature rather than merely serving internal community transportation functions; the latter, by restricting motor vehicle interference and expanding walking and cycling spaces, provides a structural prerequisite for shared paths to become high-frequency “daily spaces.”
These features exhibit a clear hierarchical mechanism in promoting LRSR: serving as the fundamental layer of structural prerequisites, Extension to Natural Landscapes (ENL) and Non-motorized Priority (NMP) are the two most basic elements driving LRSR improvement—ENL explicitly guides shared paths toward natural resources such as rivers, mountains, and wetlands, making them the primary choice for residents to engage with nature instead of solely fulfilling internal community transportation needs, while NMP provides a structural prerequisite for shared paths to become frequently used “daily spaces” by limiting motor vehicle interference and expanding walking and cycling areas. In the amplifying layer focused on spatial deepening and network increment, Multi-elevation Systems (MES) and Multi-scale Hierarchy (MSH) function as amplifiers: MES significantly increases the total length of shared paths through vertical spaces such as elevated corridors, sunken courtyards, and ramps, while providing diverse and three-dimensional recreational experiences, effectively enhancing the density of shared routes per unit land area without expanding the land use scope; MSH, through a three-level spatial hierarchy (city-community-cluster), clearly balances publicity and privacy, ensuring that the openness of shared routes does not conflict with the exclusivity of residential areas. As the integrative layer responsible for cross-boundary connection, Cross-boundary Landscape Axes (CBLA) ensures that the shared network within the community is not an isolated internal feature, but establishes positive connections with external public and ecological nodes such as urban parks and waterfront areas, thereby forming a complete connection loop spanning city-community-cluster.
In addition, the two special cases, Beibuwan No. 1 and Lixian Future Community, achieve an LRSR value of 1.00 thanks to their unique planning and development models.
In Beibuwan No. 1 Community, all community landscapes are concentrated on the podium roof. During on-site investigations, the authors, as non-residents, were able to access the entire roof garden without barriers or registration. This shows that by concentrating private residential functions into a linear planar layout, the community has successfully opened its entire landscape to the city.
Lixian Future Community differs slightly. During fieldwork, the authors also accessed the elevated ground floors and central courtyards of the enclosed residential clusters without obstruction, with complete and continuous landscape routes. In this case, residential privacy is ensured by independent access control for each residential unit.
In these two cases, residential privacy is maintained through vertical decoupling, where independent access control at each residential unit’s entrance separates the shared landscape routes from the private living quarters. Therefore, the synergy between spatial configuration and management protocols allows for a maximized LRSR without compromising the necessary security of the residential domain.
The LRSR does not imply a “higher is better” linear logic; rather, it functions as a diagnostic tool for design trade-offs. The observed 0.5~0.7 range reflects a negotiated equilibrium where the community achieves ecological infiltration without compromising the “territorial sense” of inhabitants.

5.2. Correlation Between Planning Intervention Modes and Route Sharing Quality

From the perspective of planning and design practice, the design of shared trails in nature-integrated communities should not be regarded as an “additional landscape configuration” but rather incorporated into the overall planning of spatial structure and land use patterns from the outset.
The comparative analysis of four communities (Baixiangju, Chunsen Biyan, Guomao Tianqin, and Lishui Liandu Future Community) reveals critical implications for the planning and design of cross-boundary route systems in urban residential areas, centered on the balance between public sharing and residential privacy.
Firstly, preliminary urban design intervention is the foundational premise for high-quality sharing. Unlike Baixiangju (built in 1992) where routes were passively attached to residential buildings leading to frequent conflicts, the latter three communities achieved effective separation of public and private spaces through prior planning—such as Chunsen Biyan’s independent landscape corridors, Guomao Tianqin’s urban green axis, and Lishui Liandu’s elevated park. This confirms that integrating cross-boundary route systems into the early urban design stage, clarifying spatial boundaries and functional orientations, can fundamentally avoid overlaps between shared routes and residential spaces.
Secondly, hierarchical spatial organization and multi-dimensional feature synergy enhance system resilience. Guomao Tianqin’s “urban-level green axis + closed residential clusters” and Lishui Liandu’s “three-level privacy transition with multi-layered access control” demonstrate that a hierarchical layout (from urban to community to cluster) and synergistic implementation of core features (e.g., ENL, CBL, MSH, MES) can reconcile high sharing rates with privacy protection. Specifically, connecting to natural landscapes (ENL) and urban public nodes (CBL) enhances the public value of routes, while multi-scale hierarchy (MSH) and multi-elevation systems (MES) optimize spatial separation.
Thirdly, adaptive management models and functional configuration improve usage quality. Chunsen Biyan’s semi-open registration system, Guomao Tianqin’s graded opening strategy, and Lishui Liandu’s conditional sharing with access control prove that management models should match community positioning—dense urban communities may adopt refined control (e.g., multi-layered access), while riverside or urban core communities can implement more open models. Additionally, equipping shared routes with diverse functions (viewing, recreation, fitness) as seen in Guomao Tianqin and Lishui Liandu reduces single-function conflicts and enhances user experience.
Finally, response to contextual conditions enriches practice diversity. While topographical and density conditions do not determine sharing effects, as evidenced by the similar terrain but distinct outcomes of Baixiangju and Chunsen Biyan, adaptive design (e.g., using height differences for MES) and integration with local contexts (e.g., inheriting “living by water” traditions in riverside communities) can maximize the suitability of route systems. In summary, the planning and design of cross-boundary route systems should adhere to the logic of “preliminary planning guidance + hierarchical spatial separation + adaptive management + contextual adaptation,” with core features as quantitative benchmarks, to achieve sustainable balance between public sharing and residential privacy in urban communities.
This typological evolution addresses a critical dilemma in the Chinese “Open Block” policy: the conflict between public permeability and residential security. Previous studies argued that opening gates might compromise privacy [69]. However, our analysis of Multi-elevation Systems (MES) provides a morphological solution where sharing occurs on podium roofs or elevated layers, effectively decoupling public flows from private entrances. This validates that nature-integration does not necessitate a complete loss of gated security, but rather a structural re-stratification.

5.3. LRSR Theoretical Contributions

The proposed target range of 0.50–0.70 distinguishes this study from purely qualitative design guidelines. Compared to the New Urbanism advocacy for total openness [70], our data suggests that a “threshold of moderate sharing” is more sustainable in high-density Asian cities. Exceeding 0.70 may lead to excessive maintenance costs and management complexity for property owners, while dropping below 0.50 fails to activate the environmental value of the nature interface. This range provides a quantitative benchmark that reconciles ecological idealism with urban management realism.
The main theoretical contribution of this study lies in positioning the Landscape-Related Spatial Reachability (LRSR) as a micro-scale evaluation framework for community-landscape integration. At its core, the theoretical value of the LRSR index resides in its role as a micro-scale framework for assessing the degree of community-landscape integration, with its operational mechanisms manifested in three key dimensions:
Firstly, in quantifying spatial openness and permeability, LRSR serves as a tool to directly measure a community’s spatial openness and permeability to its surrounding environment by quantifying the proportion of shared landscape route length in the total route length. A high LRSR value signifies a transformation of the community’s spatial structure from the traditional inward-looking, gated model to an outward-oriented, integrated system, converting community boundaries from physical barriers into positive ecological and social interfaces.
Secondly, as micro-scale carriers of ecological infiltration, shared paths inherently function as micro-scale conduits for the infiltration of ecological vitality into communities—including daily human-nature interactions, species movement, and hydrological processes. LRSR links the physical dimensions of route networks (length and density) to their functional and experiential dimensions, emphasizing the lived-in value of natural landscapes rather than mere aesthetic appeal. This aligns closely with the contemporary concept of “Nature-based Solutions” thereby establishing LRSR as a refined tool for diagnosing the degree of spatial-ecological coupling at the residential district level.
Thirdly, as a quantitative benchmark for reconciling privacy and sharing, the core mechanism of LRSR is to provide planners and designers with a quantitative balance point to coordinate residents’ demand for private and exclusive routes with the urgent need for public and shared routes in urban development. The proposed target range of LRSR (e.g., an LRSR value between 0.6 and 0.7 facilitates stronger natural connectivity and outward extension) offers evidence-based guidance for design practice, enabling designers to proactively manage this ratio. In doing so, it maximizes the value of shared resources while ensuring a sense of territorial exclusivity within residential areas.
In nature-integrated communities, the connotation of “sharing” extends far beyond a simple aggregation of accessible spaces. On the contrary, sharing constitutes a core principle of spatial encoding—a principle through which the physical forms of landscapes and architecture shape an environment imbued with an inherent “sharing gene”. Such an environment can support ecological continuity, facilitate social interactions, and enable multi-scale experiential exchanges. As Beatley emphasizes in the book Biophilic Cities, natural and biophilic elements should be placed at the core of all our design and construction endeavors [57]. Contemporary nature-integrated communities are increasingly regarded as an intermediate tier within the broad eco-system, bridging macro-scale natural structures and refined daily living spaces. This perspective implies that communities must not only safeguard privacy and preserve residential territoriality, but also respond to the growing demands for social interaction and cultural activities, as well as the need for integrated online-offline communication modes, all of which are driven by digital urban lifestyles.
Although the limited sample size (n = 8) precludes the establishment of universal standards, this study provides exploratory insights into the logic of landscape sharing in nature-integrated communities. The LRSR and cross-system design objectives should be regarded as flexible design guidelines that vary with different spatial typologies.

6. Conclusions

This study establishes the LRSR framework as a micro-scale tool that quantifies shared-route allocation and interprets the functional meaning of route sharing through cross-system design features. Through eight empirical cases, the study demonstrates that higher LRSR values correlate with stronger landscape integration and more diverse pedestrian experiences. The proposed LRSR target ranges—0.60–0.70 for landscape connection and 0.50–0.60 for multi-scale and multi-elevation balancing—offer actionable decision support for designing nature-integrated communities.
Altogether, this research advances the conceptual, methodological, and practical understanding of how shared pedestrian routes operate as conduits for ecological and social vitality within contemporary urban living environments.
It should be noted that the LRSR metric primarily serves as a spatial measurement of potential accessibility. While field observations and semi-structured consultations were utilized to calibrate the management boundaries, this study focused on the physical and structural logic of sharing routes rather than statistical usage frequency. A structured questionnaire was intentionally excluded from this stage to maintain the methodological purity of morphological assessment, ensuring the metric operates as a robust and objective design-support tool for architects and planners.

Author Contributions

Conceptualization, T.L. and Z.L.; methodology, T.L.; software, T.L.; validation, T.L.; formal analysis, T.L. and C.X.; investigation, T.L.; resources, T.L.; data curation, T.L.; writing—original draft preparation, T.L.; writing—review and editing, Z.L. and C.X.; visualization, T.L.; supervision, Z.L.; project administration, T.L.; funding acquisition, Z.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China, grant number 51978468.

Data Availability Statement

Data are unavailable due to privacy.

Acknowledgments

We sincerely acknowledge the interviewees, including the residents, planners, architects and developers, involved in the research.

Conflicts of Interest

Author Zhenyu Li was employed by the Tongji Architectural Design (Group) Co., Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
LRSRLandscape route sharing ratio
LsLength of shared landscape route
LnsLength of non-shared landscape route
DsDensity of shared landscape route
DnsDensity of non-shared landscape route
S0Spatium of land area
ENLExtension to natural landscapes
CBLACross-boundary landscape axes
MSHMulti-scale hierarchy
MESMulti-elevation systems
NMPNon-motorized priority

Appendix A

This appendix summarizes the semi-structured consultations conducted with key informants during on-site investigations of the representative case studies. Participants included project managers, planning consultants, and site representatives from projects in Xiamen, Beihai, and Ningbo. The consultations focused on property management boundaries, policy constraints for route sharing, and operational feedback on cross-boundary interfaces. These qualitative insights serve as empirical support for the spatial morphological analysis, facilitating the calibration of the LRSR metric and ensuring that the proposed design implications align with practical industry management standards.
Table A1. Summary of Stakeholder Consultations.
Table A1. Summary of Stakeholder Consultations.
Respondent IDCaseRole/PositionInterview TypeCore Interview Topics
P1Guomao Tianqin Community, XiamenProject Operations ManagerSemi-structured interviewCommunity management boundaries, strategies for the openness of waterfront paths
data
P2Beibuwan No. 1 Community, BeihaiProject Operations ManagerSemi-structured interview
P3Jiangshangyin Community, NingboExpert from Planning DepartmentIn-depth on-site interviewSystematic requirements for cross-system landscape axes during regulatory planning; community management boundaries; strategies for the openness of waterfront paths; conflicts and sharing mechanisms between shared landscape flow lines and resident flow lines
P4Lead Architect of Urban Design SchemeIn-depth on-site interviewImplementation difficulties of cross-system landscape axes during regulatory planning; impacts on floor area ratio and sharing; spatial design concepts and optimization schemes

Appendix B

This appendix outlines the specific evaluation dimensions and grading standards for the five core elements of cross-system shared routes within nature-integrated communities. These criteria serve as a qualitative morphological complement to the quantitative LRSR metric. By categorizing the implementation intensity of five dimensions—Extension to natural landscapes (ENL), Cross-boundary landscape axes (CBLA), Multi-scale hierarchy (MSH), Multi-elevation systems (MES), and Non-motorized priority (NMP)—this framework provides an actionable tool for design assessment. The criteria integrate project management logic with spatial morphological observations to identify technical variations in nature integration and spatial sharing across diverse case studies.
Table A2. The evaluation criteria for the implementation intensity of the five core elements of the cross-system shared routes in nature-integrated communities.
Table A2. The evaluation criteria for the implementation intensity of the five core elements of the cross-system shared routes in nature-integrated communities.
Core ElementScoreSpatial Chacteristics
Extension to Natural Landscapes
(ENL)
5The route is adjacent to natural landscapes throughout, with no building/facility obstruction, and is equipped with landscape experience nodes; non-residents can reach core landscape areas directly via the route, with no breaks in landscape extension.
4The core section is adjacent to natural landscapes, with no obstruction on the main viewing side; the route partially integrates with the landscape, equipped with 1–2 basic landscape nodes; non-residents can reach landscape edge areas.
3Some sections can access natural landscapes, with partial landscape obstruction; the route has basic connection with the landscape, no dedicated landscape experience facilities; only residents can access core landscape sections.
2Only edge sections allow distant views of natural landscapes, with significant obstruction; the route has no active connection design with the landscape, only passive distant viewing; non-residents cannot access landscape-related sections.
1No contact with natural landscapes, the route is completely disconnected from natural landscapes; landscape extension is not included in design goals, only meeting basic circulation needs.
Cross-boundary Landscape Axes
(CBLA)
5Forms a city-community cross-boundary landscape axis, clearly connecting ≥3 external core nodes (urban parks, riverside belts, etc.), with no breaks in the axis, and seamlessly integrating with the urban public space system; the axis is the core planning goal.
4Forms a community-level landscape axis, connecting 2 external landscape nodes, the axis is generally continuous with minor non-critical breaks; the axis connects with urban public spaces but is not fully integrated.
3There is an internal landscape axis, but it only connects 1 external node or no external nodes, limiting the axis to the community; the axis is basically continuous with no major breaks, but is not included in urban space connection planning.
2Only scattered landscape fragments exist, with no complete axis or external connection nodes; the axis is fragmented and only exists in a single functional area.
1No landscape axis planning, the route layout has no landscape orientation, only meeting internal circulation needs, with no landscape connection to external spaces.
Multi-scale Hierarchy
(MSH)
5Constructs a three-level (city-community-cluster) spatial hierarchy, with clear boundaries and functional adaptation at each level, achieving gradual penetration through elevated spaces, semi-enclosed courtyards, open plazas, etc.; the hierarchy management logic is clear, balancing publicity and privacy, with no hierarchy confusion.
4Constructs a two-level (community-cluster) spatial hierarchy, with relatively clear boundaries and good functional adaptation; achieves hierarchical transition through greenery, terrain, etc., basically balancing publicity and privacy, with only minor local hierarchy confusion.
3There is a single-scale hierarchy or two-level hierarchy with vague boundaries; the hierarchy management logic is unclear, with minor overlap between public and private spaces and no obvious conflicts.
2Only scattered space fragments exist, with no clear hierarchical system; the space layout is chaotic, with no distinction between public and private spaces, and minor usage conflicts.
1No multi-scale hierarchy planning, no spatial grading design, complete overlap between public and private spaces, and frequent usage conflicts
Multi-elevation Systems
(MES)
5Designs a route system with ≥3 elevations based on terrain conditions; each elevation system is independent and smoothly connected, creating characteristic spatial experiences using height differences; equipped with barrier-free facilities, suitable for all groups.
4Designs a route system with 2 elevations, each elevation is smoothly connected, effectively utilizing terrain height differences to create 1 characteristic elevation space; suitable for mainstream groups.
3There are elevation differences, but no systematic design, only partial single-elevation adjustments; no characteristic spatial experience, only meeting basic circulation needs.
2There are terrain height differences, but no elevation adaptation design, the route is laid out along a single elevation with circulation inconveniences; no barrier-free facilities, only suitable for healthy people.
1No elevation design, the route is completely dependent on the original terrain, with obvious circulation obstacles; the impact of elevation on usage is not considered, and the multi-elevation system is not implemented.
Non-motorized Priority
(NMP)
5Motor vehicles are completely prohibited on the route, realizing “non-motorized exclusivity”; the non-motorized space width is ≥3 m, with complete facilities; seamlessly connecting with the urban non-motorized system, with no conflicts between non-motorized traffic and motor vehicles.
4Non-motorized traffic is prioritized on the route, only emergency vehicles are allowed; the non-motorized space width is 2–3 m, with relatively complete facilities; connecting with the urban non-motorized system, with basically no conflicts between non-motorized traffic and motor vehicles.
3The route accommodates both non-motorized and motorized traffic (by time or area); the non-motorized space width is 1–2 m, with basic lighting facilities; no direct connection with the urban non-motorized system, with minor circulation conflicts.
2Motor vehicles are prioritized on the route, the non-motorized space is narrow (<1 m), with no dedicated non-motorized facilities; no connection with the urban non-motorized system, with frequent circulation conflicts.
1No non-motorized priority design, the route is completely used for motor vehicle traffic, no non-motorized space, unable to meet non-motorized needs.

References

  1. Alkhafagie; Karrar, H.; Dheah, H.B. The Social Divide: Impact of Gated Communities on Urban Interaction. Acad. Open 2024, 9, 1. [Google Scholar] [CrossRef]
  2. Levin, S.; Ceccato, V.; Lord, J.R. A systematic review of gated communities and their implications for safety and broader social outcomes between 2000 and 2024. Discov. Cities 2026, 3, 4. [Google Scholar] [CrossRef]
  3. Qiao, X.; Liu, Y.; Feng, J. Evaluating the Landscape Quality of Residential Communities: A Case Study of the Chinese City Yangling. Land 2023, 12, 57. [Google Scholar] [CrossRef]
  4. Tong, A.; Xu, L.; Ma, Q.; Shi, Y.; Feng, M.; Lu, Z.; Wu, Y. Evaluation of the level of park space service based on the residential area demand. Urban For. Urban Green. 2024, 93, 128214. [Google Scholar] [CrossRef]
  5. Zhu, Y.; Li, Z. ‘Sharing’ as a Critical Framework for Waterfront Heritage Regeneration: A Case Study of Suzhou Creek, Shanghai. Land 2024, 13, 1280. [Google Scholar] [CrossRef]
  6. Jordan, S.; Babuder, A.; Boyer, R. Shared Spaces as a Promising Contribution to Sustainable Renovation of Residential Neighborhoods. Proceedings 2025, 131, 73. [Google Scholar] [CrossRef]
  7. Mukhija, V.; Takahashi, L. Enhancing Sharing Capabilities. J. Am. Plan. Assoc. 2022, 89, 175–182. [Google Scholar] [CrossRef]
  8. Mundula, L.; Di Fazio, C.; Leccis, F.; Paradiso, M. Urban Green Infrastructures as Tools for Urban Interconnection: The Case of San Bartolomeo District in Cagliari, Italy. Sustainability 2024, 16, 11246. [Google Scholar] [CrossRef]
  9. Melon, M.; Sikorski, P.; Archiciński, P.; Łaszkiewicz, E.; Hoppa, A.; Zaniewski, P.; Zaniewska, E.; Strużyński, W.; Sudnik-Wójcikowska, B.; Sikorska, D. Nature on our doorstep: How do residents perceive urban parks vs. biodiverse areas? Landsc. Urban Plan. 2024, 247, 105059. [Google Scholar] [CrossRef]
  10. Fang, X.; Li, J.; Ma, Q. Integrating green infrastructure, ecosystem services and nature-based solutions for urban sustainability: A comprehensive literature review. Sustain. Cities Soc. 2023, 98, 104843. [Google Scholar] [CrossRef]
  11. Alves, A.; van Opstal, C.; Keijzer, N.; Sutton, N.; Chen, W. Planning the multifunctionality of nature-based solutions in urban spaces. Cities 2024, 146, 104751. [Google Scholar] [CrossRef]
  12. Zahoor, A.; Xu, T.; Wang, M.; Dawood, M.; Afrane, S.; Li, Y.; Chen, J.L.; Mao, G. Natural and artificial green infrastructure (GI) for sustainable resilient cities: A scientometric analysis. Environ. Impact Assess. Rev. 2023, 101, 107139. [Google Scholar] [CrossRef]
  13. Salem, M.; Tsurusaki, N. Impacts of Rapid Urban Expansion on Peri-Urban Landscapes in the Global South: Insights from Landscape Metrics in Greater Cairo. Sustainability 2024, 16, 2316. [Google Scholar] [CrossRef]
  14. Ashiagbor, G.; Amoako, C.; Asabere, S.B.; Quaye-Ballard, J.A. Landscape Transformations in Rapidly Developing Peri-urban Areas of Accra, Ghana: Results of 30 years. Open Geosci. 2019, 11, 172–182. [Google Scholar] [CrossRef]
  15. Cheshmehzangi, A. The Changing Urban Landscape of Chinese Cities: Positive and Negative Impacts of Urban Design Controls on Contemporary Urban Housing. Sustainability 2018, 10, 2839. [Google Scholar] [CrossRef]
  16. Zhifang, W. Evolving landscape-urbanization relationships in contemporary China. Landsc. Urban Plan. 2017, 171, 30–41. [Google Scholar] [CrossRef]
  17. Wang, S.; Song, Y. The Study of the Cognitive Tendency of Chinese Y and Z Generations towards the Design Element Shan-Shui in Architectural Environments. Buildings 2024, 14, 1656. [Google Scholar] [CrossRef]
  18. Bai, X.; Sadia, S. Park city leads the way of urban development and innovation in China. J. Environ. Eng. Landsc. Manag. 2023, 31, 240–247. [Google Scholar] [CrossRef]
  19. Vinczeová, Z.; Tóth, A. Urban Green Spaces and Collective Housing: Spatial Patterns and Ecosystem Services for Sustainable Residential Development. Sustainability 2025, 17, 2538. [Google Scholar] [CrossRef]
  20. Wolff, E.; Natakun, B.; Marome, W.; Chew, G.; Tang, K.S.; Hamel, P. Nature for the people, by the people: Negotiating values, attitudes and behaviours for implementing urban nature-based solutions in social housing. Urban For. Urban Green. 2025, 112, 128973. [Google Scholar] [CrossRef]
  21. Li, Z.; Zhu, Y. Towards a Sharing Architecture. Archit. J. 2017, 12, 60–65. [Google Scholar]
  22. Ryu, H.; Basu, M.; Saito, O. What and how are we sharing? A systematic review of the sharing paradigm and practices. Sustain. Sci. 2018, 14, 515–527. [Google Scholar] [CrossRef]
  23. Zhang, X.; Wang, X.; Zhang, C.; Zhai, J. Development of a cross-scale landscape infrastructure network guided by the new Jiangnan watertown urbanism: A case study of the ecological green integration demonstration zone in the Yangtze River Delta, China. Ecol. Indic. 2022, 143, 109317. [Google Scholar] [CrossRef]
  24. Wu, Y.; Liu, Y. Transforming Industrial Waterfronts into Inclusive Landscapes: A Project Method and Investigation of Landscape as a Medium for Sustainable Revitalization. Sustainability 2023, 15, 5060. [Google Scholar] [CrossRef]
  25. Huang, Y.; Huang, Y.; Chen, Y.; Song, J.; Yang, S.; Huang, L.; Zheng, L.; Gao, Y. The evolution and construction of Shan-shui cities: Evidence from the ancient city of Hangzhou from the sixth to the twenty-first century via geographical information systems and space syntax. Front. Earth Sci. 2025, 13, 1551117. [Google Scholar] [CrossRef]
  26. Jurečka, M.; Andrášik, R.; Čermák, P.; Danzinger, F.; Plutzar, C.; Grillmayer, R.; Mikita, T.; Bartonička, T. Influence of land use intensity on ecological corridors and wildlife crossings’ effectiveness: Comparison of 2 pilot areas in Austria. Nat. Conserv. 2024, 57, 143–171. [Google Scholar] [CrossRef]
  27. Bertrand-Krajewski, J.-L. Integrated urban stormwater management: Evolution and multidisciplinary perspective. J. Hydro-Environ. Res. 2020, 38, 72–83. [Google Scholar] [CrossRef]
  28. Li, X.; Jia, B.; Wang, Z.; Li, T.; Feng, F. Residential heat environment in relation to blue-green space sustainability in Beijing, China. Urban For. Urban Green. 2024, 102, 128577. [Google Scholar] [CrossRef]
  29. Zhai, C.; Geng, R.; Ren, Z.; Wang, C.; Zhang, P.; Guo, Y.; Hong, S.; Hong, W.; Meng, F.; Fang, N. Spatiotemporal Dynamics of Urban Green Space Coverage and Its Exposed Population under Rapid Urbanization in China. Remote Sens. 2024, 16, 2836. [Google Scholar] [CrossRef]
  30. Ramakreshnan, L.; Aghamohammadi, N.; Fong, C.S.; Sulaiman, N.M. A comprehensive bibliometrics of ‘walkability’ research landscape: Visualization of the scientific progress and future prospects. Environ. Sci. Pollut. Res. 2020, 28, 1357–1369. [Google Scholar] [CrossRef]
  31. Colwell, R.K. The projected timing of abrupt ecological disruption from climate change. Nature 2020, 580, 496–501. [Google Scholar] [CrossRef] [PubMed]
  32. Siehr, S.A.; Sun, M.; Aranda Nucamendi, J.L. Blue-green infrastructure for climate resilience and urban multifunctionality in Chinese cities. Wiley Interdiscip. Rev. Energy Environ. 2022, 11, e447. [Google Scholar] [CrossRef]
  33. Laura, S.; Marc, E.; José, A.; Wan-Yu, S. Urban green and blue infrastructure: A critical analysis of research on developing countries. J. Clean. Prod. 2021, 313, 127898. [Google Scholar] [CrossRef]
  34. Jose, A.; Rodrigo, A.B.; Wan-yu, S.; Bogachan, B. Innovations in Urban Green and Blue Infrastructure: Tackling local and global challenges in cities. J. Clean. Prod. 2022, 362, 132355. [Google Scholar] [CrossRef]
  35. Xin, L.; Yuan, L.; Tao, J.; Lin, Z.; Ihab Hamzi, H. The six dimensions of built environment on urban vitality: Fusion evidence from multi-source data. Cities 2021, 121, 103482. [Google Scholar] [CrossRef]
  36. Zhao, J.; Sun, G.; Webster, C. Walkability scoring: Why and how does a three-dimensional pedestrian network matter? Environ. Plan. B Urban Anal. City Sci. 2020, 48, 2418–2435. [Google Scholar] [CrossRef]
  37. Dogan, O.; Han, J.; Lee, S. Opening Gated Communities and Neighborhood Accessibility Benefits: The Case of Seoul, Korea. Int. J. Environ. Res. Public Health 2021, 18, 4255. [Google Scholar] [CrossRef]
  38. Sun, G.; Webster, C.; Chiaradia, A. Ungating the city: A permeability perspective. Urban Stud. 2017, 55, 2586–2602. [Google Scholar] [CrossRef]
  39. Banai, R. Planning Paradigms: Contradictions and Synthesis. J. Archit. Plan. Res. 1988, 5, 14–34. [Google Scholar]
  40. Rosa, A.A.; Lima, F. A Framework for Informing Complete Street Planning: A Case Study in Brazil. Buildings 2025, 15, 125. [Google Scholar] [CrossRef]
  41. Liu, X.; Zhou, J. Mind the missing links in China’s urbanizing landscape: The phenomenon of broken intercity trunk roads and its underpinnings. Landsc. Urban Plan. 2017, 165, 64–72. [Google Scholar] [CrossRef]
  42. Hsu, W.; Zhang, Y.; Long, Y. Valuing the Micropublic Space: A Perspective from Beijing Housing Prices. J. Urban Plan. Dev. 2022, 148, 04022012. [Google Scholar] [CrossRef]
  43. Zhang, X. Green real estate development in China: State of art and prospect agenda—A review. Renew. Sustain. Energy Rev. 2015, 47, 1–13. [Google Scholar] [CrossRef]
  44. Steiner, F.; Simmons, M.; Gallagher, M.; Ranganathan, J.; Robertson, C. The ecological imperative for environmental design and planning. Front. Ecol. Environ. 2013, 11, 355–361. [Google Scholar] [CrossRef]
  45. Ross, M.R.V.; Bernhardt, E.S.; Doyle, M.W.; Heffernan, J.B. Designer Ecosystems: Incorporating Design Approaches into Applied Ecology. Annu. Rev. Environ. Resour. 2015, 40, 419–443. [Google Scholar] [CrossRef]
  46. Grose, M.J. Gaps and futures in working between ecology and design for constructed ecologies. Landsc. Urban Plan. 2014, 132, 69–78. [Google Scholar] [CrossRef]
  47. Manivannan, A.; Chin, W.C.B.; Gopalakrishnan, S.; Wong, D.K.H.; Schroepfer, T.; Bouffanais, R. Effects of the interplay between topology and function of an integrated urban development on patterns of user movement. Sci. Rep. 2024, 14, 7021. [Google Scholar] [CrossRef]
  48. Ozbil, A.; Gurleyen, T.; Yesiltepe, D.; Zunbuloglu, E. Comparative Associations of Street Network Design, Streetscape Attributes and Land-Use Characteristics on Pedestrian Flows in Peripheral Neighbourhoods. Int. J. Environ. Res. Public Health 2019, 16, 1846. [Google Scholar] [CrossRef]
  49. Mei, L.; Ying, J. Measuring accessibility of urban scales: A trip-based interaction potential model. Adv. Eng. Inform. 2021, 48, 101293. [Google Scholar] [CrossRef]
  50. Liu, Y.; Cao, X.; Li, T. Influence of Accessibility on Land Use and Landscape Pattern Based on Mapping Knowledge Domains: Review and Implications. J. Adv. Transp. 2020, 2020, 1. [Google Scholar] [CrossRef]
  51. Lee, S.; Yoo, C.; Seo, K.W. Determinant Factors of Pedestrian Volume in Different Land-Use Zones: Combining Space Syntax Metrics with GIS-Based Built-Environment Measures. Sustainability 2020, 12, 8647. [Google Scholar] [CrossRef]
  52. Zhu, M.; Zuo, Y.; Liang, X.; Cui, H. Urban–rural public transport accessibility evaluation based on improved gravity model with actual time. Proc. Inst. Civ. Eng.-Munic. Eng. 2025, 178, 55–67. [Google Scholar] [CrossRef]
  53. Ma, X.; Zeng, T.; de Dear, R.; Xie, Y.; Yuan, C.; Lu, S. Active route choice to minimize pedestrian thermal discomfort in a high-density subtropical city. Sustain. Cities Soc. 2025, 131, 106697. [Google Scholar] [CrossRef]
  54. Monteiro, C. Becoming an urban morphologist: Michael P. Conzen. Urban Morphol. 2024, 28, 151–166. [Google Scholar] [CrossRef]
  55. Conzen, M.P. Thinking About Urban Form: Papers on Urban Morphology, 1932–1998; Peter Lang Publishing: New York, NY, USA, 2004. [Google Scholar]
  56. Oliveira, V.; Porta, S. Quantitative and qualitative analysis in urban morphology: Systematic legacy and latest developments. Proc. Inst. Civ. Eng.-Urban Des. Plan. 2025, 178, 75–87. [Google Scholar] [CrossRef]
  57. Beatley, T. Island Press/Center for Resource Economics Ebooks; Island Press/Center for Resource Economics: Washington, DC, USA, 2011. [Google Scholar]
  58. Ren, Z. Extreme Riverside Human Settlement Pattern under Extreme Topography: A Case Study of Chongqing Longhu Chunsen Bi’an. Chongqing Archit. 2014, 4, 20–23. [Google Scholar] [CrossRef]
  59. Tang, L. Structural General Drawing Design of Chongqing Longhu Chunsen Bi’an Phase I Project. Sichuan Archit. 2010, 30, 76–78,80. [Google Scholar]
  60. Zhang, L.; Ma, Y. Interview with Ma Yansong. World Archit. 2016, 2, 126–129,133. [Google Scholar]
  61. Fabos, J.G. Greenway Planning in the United States: Its Origins and Recent Case Studies. Landsc. Urban Plan. 2004, 68, 321–342. [Google Scholar] [CrossRef]
  62. Wang, J. Analysis of Community Life Circle Planning and Design Based on the Healthy City Concept: A Case Study of Xiamen Poly·Gumaco Tianqin Community. Fujian Constr. Sci. Technol. 2024, 2, 8–12. [Google Scholar] [CrossRef]
  63. Chen, L. Openness and Shortage: On High-rise Housing in the Social Transformation of the Early Period of Reform and Opening-up—A Case Study of Baixiangju, Chongqing. Community Des. 2023, 5, 40–48. [Google Scholar] [CrossRef]
  64. Zhang, Y.; Chen, H. Practice of Land Transfer with Planning Scheme in Lishui Liandu Lingshan Community. Zhejiang Constr. 2020, 37, 67–69. [Google Scholar] [CrossRef]
  65. Zhang, Y. Practical Application of Future Architectural Scenarios: A Case Study of Lishui Liandu Lingshan Future Community. Anhui Archit. 2020, 27, 22–24. [Google Scholar] [CrossRef]
  66. Wu, X.; Tang, C.; Zhang, C. Commercial Housing of Quzhou Lixian Future Community. Archit. Tech. 2024, 30, 78–89. [Google Scholar] [CrossRef]
  67. Perez-Ramos, J.L.; Ramirez-Rosales, S.; Canton-Enriquez, D.; Diaz Jimenez, L.A.; Hernandez-Ramirez, H.; Herrera-Navarro, A.M.; Jimenez-Hernandez, H. Connecting Cities: A Case Study on the Application of Morphological Shortest Paths. Symmetry 2025, 17, 114. [Google Scholar] [CrossRef]
  68. Karimi, K. The Configurational Structures of Social Spaces: Space Syntax and Urban Morphology in the Context of Analytical, Evidence-Based Design. Land 2023, 12, 2084. [Google Scholar] [CrossRef]
  69. Ye, Y. Towards an Open Block Space: An Analysis of Derivative Problems of Super-Large Closed Communities. Front. Interdiscip. Appl. Sci. 2025, 2, 165–172. [Google Scholar] [CrossRef]
  70. Balon, N.; Hrdalo, I.; Mrđa, A.; Kamenečki, M.; Tomić Reljić, D.; Pereković, P. Landscape Urbanism—Retrospective on Development, Basic Principles and Application. Architecture 2023, 3, 739–752. [Google Scholar] [CrossRef]
Figure 1. Overall Study Framework.
Figure 1. Overall Study Framework.
Land 15 00519 g001
Figure 2. Diagrams of Shared and Non-shared Landscape Routes of the Eight Cases.
Figure 2. Diagrams of Shared and Non-shared Landscape Routes of the Eight Cases.
Land 15 00519 g002
Figure 3. Analysis of Extension to Natural Landscapes of Chunsen Bi’An Community, Chongqing ((Left): Schematic diagram of the extension to the mountain and Jialing River landscape. (Right): Photo of the tri-directional sharing landscape route).
Figure 3. Analysis of Extension to Natural Landscapes of Chunsen Bi’An Community, Chongqing ((Left): Schematic diagram of the extension to the mountain and Jialing River landscape. (Right): Photo of the tri-directional sharing landscape route).
Land 15 00519 g003
Figure 4. Analysis of Extension to Natural Landscapes of Beibuwan No. 1 Community, Beihai.
Figure 4. Analysis of Extension to Natural Landscapes of Beibuwan No. 1 Community, Beihai.
Land 15 00519 g004
Figure 5. Analysis of Cross-boundary Landscape Axis of Guomao Tianqin Community, Xiamen ((Left): Schematic diagram of the cross-boundary and multi-elevation landscape axis. (Right): Model of the central green axis).
Figure 5. Analysis of Cross-boundary Landscape Axis of Guomao Tianqin Community, Xiamen ((Left): Schematic diagram of the cross-boundary and multi-elevation landscape axis. (Right): Model of the central green axis).
Land 15 00519 g005
Figure 6. Analysis of Multi-scale Hierarchy of Jiangshangyin Community and Sunshine 100 International Community.
Figure 6. Analysis of Multi-scale Hierarchy of Jiangshangyin Community and Sunshine 100 International Community.
Land 15 00519 g006
Figure 7. Multi-elevated landscape routes of Baixiangju community, Chongqing.
Figure 7. Multi-elevated landscape routes of Baixiangju community, Chongqing.
Land 15 00519 g007
Figure 8. Multi-elevated landscape routes of Liandu Future Community, Lishui.
Figure 8. Multi-elevated landscape routes of Liandu Future Community, Lishui.
Land 15 00519 g008
Figure 9. Pedestrian and landscape corridor system spanning urban roads of Lixian Future Community. ((Left): Schematic diagram of the non-motorized pedestrian and sharing space. (Right): Actual photo of the non-motorized system).
Figure 9. Pedestrian and landscape corridor system spanning urban roads of Lixian Future Community. ((Left): Schematic diagram of the non-motorized pedestrian and sharing space. (Right): Actual photo of the non-motorized system).
Land 15 00519 g009
Table 1. Basic Information of the Eight Research Cases.
Table 1. Basic Information of the Eight Research Cases.
CaseMaster Plan
(Drawn to Scale)
Landscape and LocationBuilt Year and
Designer
Floor AreaFAR
1.
Baixiangju Community
Land 15 00519 i001Jia Ling River, Mountainous Terrain
(Chongqing)
1992
Chongqing Jianzhu University
//
2.
Chunsen Bi’an Community
Land 15 00519 i002Jia Ling River, Mountainous Terrain
(Chongqing)
2009
MRY Architects & Chongqing Architectural Design Institute
160,200 m24.9
3.
Beibuwan No. 1 Community
Land 15 00519 i003Beihai Bay, Landscape Garden
(Beihai)
2015
MAD Architects
109,200 m23.5
4.
Sunshine 100 Community (South District)
Land 15 00519 i0046-Kilometer Riverside
(Wuxi)
2016
SHL Architects
400,000 m21.8
5.
Lixian Future Community
Land 15 00519 i005Qu River
(Quzhou)
2024
gad Design
107,000 m22.0
6.
Jiangshangyin Community
Land 15 00519 i006Fenghua River
(Ningbo)
2021
Lacime Architects
119,340 m22.7
7.
Liandu Future Community
Land 15 00519 i007Mountain View
(Lishui)
2022
Zhejiang Provincial Architectural Design Institute
220,200 m22.0
8.
Guomao Tianqin Community
Land 15 00519 i008Wuyuanwan Wetland, Ecological Green Axis
(Xiamen)
2022
Xiamen Tefang Construction Engineering Group Co., Ltd.
79,400 m24.7
Table 2. Indicator System of LRSR.
Table 2. Indicator System of LRSR.
IndicatorDefinitionPurpose
S0Total land area of the community/
DsDensity of shared landscape route in the nature-integrated communitymicro-scale intensity
DnsDensity of non-shared landscape route in the nature-integrated communityexclusivity intensity
DOverall density of landscape route in the communityoverall accessibility
LsTotal length of shared landscape routes in the communitymeasures openness
LnsTotal length of non-shared landscape routes in the communitymeasures privacy
LRSRLandscape Route Sharing Ratio: Micro-scale indicator of shared-route balancecore indicator
Table 3. Relevant Indicators and Calculation Results of LRSR for the Eight Cases.
Table 3. Relevant Indicators and Calculation Results of LRSR for the Eight Cases.
No.CaseS0 (ha)L (km)D (km/ha)LRSR
LsLnsTotalDsDnsTotal
1Liandu Future Community, Lishui22.02.474.156.620.110.190.300.37
2Chunsen Bi’an Community, Chongqing16.01.351.462.820.080.100.180.48
3Jiangshangyin Community, Ningbo12.71.111.002.110.090.080.170.53
4Baixiangju Community, Chongqing1.60.910.471.380.580.300.880.66
5Guomao Tianqin Community, Xiamen6.80.900.401.300.130.060.190.69
6Sunshine 100 South District, Wuxi40.06.002.308.300.150.060.210.72
7Lixian Future Community, Quzhou10.73.200.003.190.300.000.301.00
8Beibuwan No. 1 Community, Beihai4.31.720.001.720.400.000.401.00
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

Lu, T.; Xu, C.; Li, Z. Landscape Route Sharing Ratio in Nature-Integrated Community: Cross-Boundary Features and Design Implications. Land 2026, 15, 519. https://doi.org/10.3390/land15030519

AMA Style

Lu T, Xu C, Li Z. Landscape Route Sharing Ratio in Nature-Integrated Community: Cross-Boundary Features and Design Implications. Land. 2026; 15(3):519. https://doi.org/10.3390/land15030519

Chicago/Turabian Style

Lu, Tingying, Chenghao Xu, and Zhenyu Li. 2026. "Landscape Route Sharing Ratio in Nature-Integrated Community: Cross-Boundary Features and Design Implications" Land 15, no. 3: 519. https://doi.org/10.3390/land15030519

APA Style

Lu, T., Xu, C., & Li, Z. (2026). Landscape Route Sharing Ratio in Nature-Integrated Community: Cross-Boundary Features and Design Implications. Land, 15(3), 519. https://doi.org/10.3390/land15030519

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