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Empirical analysis of two core questions on urban street vitality formation mechanism using energy efficiency metrics within the dissipative theory framework

Bibliographic Data

ID21232011
AuthorsShiping Lin (Hainan University, corresponding author), Jilong Li (0009-0006-7684-5810, Hainan University), Niuniu Kong (0009-0005-1163-0352, Hainan University), Yilin Ke (Hainan University), Jiacheng Chen (0000-0002-2702-0728, Hainan University), Jie Zeng (0000-0002-2714-6187, Hainan University), Jiawen Wang (0000-0001-6601-3013, Hainan University), Ke AI (0000-0001-7516-0752), Kunpeng Ai (0009-0005-7171-6529, Hainan University)
Year2025
Volume131
Pages106773
Publication date2025-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSustainable Cities and Society (JOURNAL)
Journal identifiersISSN: 2210-6707 • E-ISSN: 2210-6715
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.scs.2025.106773
OpenAlexW4413826286
LanguageEN
Citations received1
References cited41

Street vitality is an important indicator of urban sustainable development capacity. However, two core questions remain unverified for formation mechanisms of street vitality: 1 Whether the concentration of population density(PD) can serve as a measure of vitality; 2 Whether the vitality indicators of classical theory are complete. To address this, the dissipative structure theory was applied to construct the hypothetical model. Through data transformation, we innovatively solve the problem of measuring the diversity and complexity of the interaction between people and spatial carriers, and further empirically verify the two core questions. First, through a data conversion model, we transformed phenomenological data into energy efficiency data that reflect the intrinsic nature of vitality. Second, by conducting correlation analyses of behavioral efficiency (Y j ) and element efficiency (Y i ) at both macro and micro levels, we demonstrated the rationality of the hypothesis model. Meanwhile, the analysis results demonstrate that when the street is in a high-vitality state, Y j -Y i indeed forms an equivalent relationship in terms of energy efficiency, and at this point, PD can serve as an indicator of the level of vitality. However, when the street is in a state of low or no vitality, PD cannot effectively represent vitality. Additionally, macro-level Y j -Y i correlation analysis shows: p =0.000, with r values mostly ranging from 0.595 to 0.691. The regression analysis shows that the R2 values for the seven cities range from 0.412 to 0.637, indicating that the indicators of classical vitality theory are incomplete, and there may be other unknown important indicators. Finally, through regression analysis at the micro level, we also identified simple indicators and methods that can quickly assess high-vitality street. The research results may promote global theoretical discussions on urban vitality and provide insights for smart city management in emerging economies around the world

Architectural engineering · Civil engineering · Dissipative system · Economics · Epistemology · Neoclassical economics · Physics · Sociology · Telecommunications · Thermodynamics · Vitality · Computer Science · Engineering · Philosophy · Traffic control and management · Transportation Planning and Optimization · Urban Design and Spatial Analysis

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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