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1.北京大学 汇丰商学院,广东 深圳 518055
2.延安大学 经济与管理学院,陕西 延安 716000
3.暨南大学 深圳旅游学院,广东 深圳 518053
4.西北大学 经济管理学院,陕西 西安 710127
Received:17 February 2026,
Revised:2026-03-06,
Published:25 June 2026
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SONG Zhufang, MA Ning, WEN Xiu, et al. Research on the network structure of tourist flows in Shenzhen from a human-environment relationship perspective[J]. Journal of Northwest University (Natural Science Edition), 2026, 56(3): 504-520.
SONG Zhufang, MA Ning, WEN Xiu, et al. Research on the network structure of tourist flows in Shenzhen from a human-environment relationship perspective[J]. Journal of Northwest University (Natural Science Edition), 2026, 56(3): 504-520. DOI: 10.16152/j.cnki.xdxbzr.2026-03-005.
基于2020—2024年深圳市旅游流数据,以本地与外来客源为研究对象,选取代表性旅游节点,分别构建旅游流网络,对比揭示了2类客源旅游流网络结构的空间特征及其差异,并从人地关系地域系统理论出发,探讨了不同群体与旅游地环境的互动响应。结果表明:①在节点吸引力上,呈现显著的“群体-环境”互动差异,本地客源网络的核心以自然类节点为主,体现了城市居民对缓解日常空间挤压、寻求自然调节的“人地协调”内在需求,而外来客源网络的核心则以人文类节点为主,反映出外来游客对深圳现代化、国际化城市意象的“地方认同”与符号消费,人文节点的影响力持续增强;②在行为模式上,本地游客出行路径相对单一,表现出对惯常环境的“地方依恋”,外来游客线路组织更为多样,人文节点占比高,其行为更符合“地方消费”的旅游特征;③在空间结构上,本地流呈现“东密西疏、南强北弱”的格局,高度集中于大鹏新区,外来流则表现为“西密东疏”,高度集中于南山区,同时向大鹏区扩散。整体上,宝安、龙岗、坪山、龙华和光明等区旅游发展薄弱,空间联系失衡。本研究认为,大鹏新区作为自然与人文资源的交汇带,具备推动深圳旅游人地系统协调与空间均衡发展的潜力,未来应通过优化资源供给、强化区域联动,引导形成更健康、可持续的旅游人地关系。
Based on tourism digital data of Shenzhen from 2020 to 2024
this study takes local and non-local tourists as research objects
selects representative tourism nodes
and constructs their respective tourism flow networks. Using social network analysis
the spatial characteristics and differences of the tourism flow network structures of the two groups are compared and revealed. From the perspective of human-environment interaction theory
the interactive responses between different tourist groups and the tourism environment are explored. The results show that: ①In terms of node attractiveness
there is a significant "group-environment" interactive difference: The core of the local tourist network is dominated by natural nodes
reflecting urban residents’ intrinsic need for "human-environment harmony" through natural regulation to alleviate daily spatial pressure; whereas the core of the non-local tourist network is mainly composed of humanistic nodes
indicating their "place identity" with and symbolic consumption of Shenzhen’s modern and international urban image
with the influence of humanistic nodes continuing to increase; ②In behavioral patterns
local tourists exhibit relatively singular travel paths
showing "place attachment" to familiar environments; non-local tourists organize more diverse itineraries with a high proportion of humanistic nodes
aligning more with the characteristics of "place consumption"; ③ In spatial structure
local flows show a pattern of "denser in the east
sparser in the west; stronger in the south
weaker in the north
"highly concentrated in Dapeng New District; non-local flows are characterized as "denser in the west
sparser in the east
"highly concentrated in Nanshan District
while also diffusing toward the natural areas of Dapeng. Overall
districts such as Bao’an
Longgang
Pingshan
Longhua
and Guangming show weaker tourism development and unbalanced spatial connectivity. This study suggests that Dapeng New District
as a convergence zone of natural and humanistic resources
has the potential to promote the coordination of Shenzhen’s tourism human-environment system and balanced spatial development. Future efforts should focus on optimizing resource supply
strengthening regional linkages
and guiding the formation of a healthier and more sustainable tourism human-environment relationship.
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