Acoustic assessment in urban residential environments: A GINI-OOB approach

Jiayi  Zhang; Xiaoli  Tang; Siyu  Cen

doi:10.59400/sv1682

Jiayi Zhang College of Science, Sichuan Agricultural University, Ya’an 625014, China
Xiaoli Tang College of Science, Sichuan Agricultural University, Ya’an 625014, China
Siyu Cen College of Science, Sichuan Agricultural University, Ya’an 625014, China

Article ID: 1682

133 Views, 27 PDF Downloads

DOI: https://doi.org/10.59400/sv1682

Keywords: urban acoustic environment; urban sustainable development; resident’s value perception; FCE-AHM; GINI-OOB

Abstract

Urban sustainable development faces significant challenges, with low Resident Value Perception (RVP) acting as a major barrier to the rapid growth and sustainability of cities. This study aims to identify the key factors influencing RVP and assess their impacts, focusing on Wuhan as the case study. An RVP indicator system is developed, integrating three dimensions, and the Fuzzy Comprehensive Evaluation-Attribute Hierarchy Model (FCE-AHM) method is employed to calculate the RVP index. Additionally, a novel GINI-out-of-bag (GINI-OOB) coupling assessment method is introduced to determine the influence of each indicator, using data from Wuhan’s 2022 social satisfaction survey in China. Special emphasis is placed on the relationship between these factors and the acoustic environment. The research findings highlight the following: (1) The proposed methodology effectively identifies the key factors influencing residents’ value perceptions and quantifies their levels of influence; (2) Hospital waiting times, housing price acceptability, and parking management emerge as the top three factors affecting residents’ value perception, with a combined GINI-OOB index score of 0.4914. Notably, parking management has a significant influence, directly exacerbating traffic noise issues. These factors collectively impact the acoustic environment, thereby influencing residents’ quality of life and overall satisfaction. This study introduces an innovative theoretical framework for evaluating urban sustainability, offering valuable insights for enhancing the assessment of residents’ value perceptions and supporting policy recommendations aimed at optimizing urban acoustic environments.

References

[1]Pincetl, S.; Gearin, E. The Reinvention of Public Green Space. Urban Geogr 2005, 26, 365-384, https://doi.org/10.2747/0272-3638.26.5.365.

[2]Newman, P.; Kosonen, L.; Kenworthy, J. Theory of urban fabrics: planning the walking, transit/public transport and automobile/motor car cities for reduced car dependency. Town Plan Rev 2016, 87, 429-458, https://doi.org/10.3828/tpr.2016.28.

[3]Liu, M.; Liu, J. Life Satisfaction Research-Quantitative Analysis Based on Wuhan City, In Proceedings of the 2020 International Conference on Big Data Economy and Information Management (BDEIM), Zhengzhou, China, 11-13 Dec 2020; pp. 109-111.

[4]Han, W.; Jung, D.W.; Lee, J.; Yu, C. Determination of eigenvectors with Lagrange multipliers. J Korean Phys Soc 2021, 78, 1018-1022, https://doi.org/10.1007/s40042-021-00112-3.

[5]Vorkinn, M.; Riese, H. Environmental Concern in a Local Context: The Significance of Place Attachment. Environ Behav 2001, 33, 249-263, https://doi.org/10.1177/00139160121972972.

[6]Moudon, A.V.; Lee, C.; Cheadle, A.D.; Garvin, C.; Johnson, D.; Schmid, T.L.; Weathers, R.D.; Lin, L. Operational Definitions of Walkable Neighborhood: Theoretical and Empirical Insights. Journal of Physical Activity and Health 2006, 3, S99-S117, https://doi.org/10.1123/jpah.3.s1.s99.

[7]Devine-Wright, P.; Howes, Y. Disruption to place attachment and the protection of restorative environments: A wind energy case study. J Environ Psychol 2010, 30, 271-280, https://doi.org/10.1016/j.jenvp.2010.01.008.

[8]Williams, D.R.; Vaske, J.J. The Measurement of Place Attachment: Validity and Generalizability of a Psychometric Approach. In 2003; Vol. 49, pp. 830-840.

[9]Buttazzoni, A.; Doherty, S.; Minaker, L. How Do Urban Environments Affect Young People’s Mental Health?A Novel Conceptual Framework to Bridge Public Health, Planning and Neurourbanism. Public Health Rep 2021, 137, 48-61, https://doi.org/10.1177/0033354920982088.

[10]Gifford, R. Environmental Psychology Matters. Annu Rev Psychol 2014, 65, 541-579, https://doi.org/10.1146/annurev-psych-010213-115048.

[11]Putnam, R.D. Bowling alone: The collapse and revival of American community., Touchstone Books/Simon & Schuster: New York, NY, US, 2000; p. 541, ISBN 0-7432-0304-6 (Paperback).

[12]Pretty, J.; Peacock, J.; Hine, R.; Sellens, M.; South, N.; Griffin, M. Green exercise in the UK countryside: Effects on health and psychological well-being, and implications for policy and planning. J Environ Plann Man 2007, 50, 211-231, https://doi.org/10.1080/09640560601156466.

[13]Kahneman, D.; Deaton, A. High income improves evaluation of life but not emotional well-being. P Natl Acad Sci Usa 2010, 107, 16489-16493, 10.1073/pnas.1011492107.

[14]Vidal Rua, S. Perceptions of tourism: a study of residents’ attitudes towards tourism in the city of Girona. Journal of Tourism Analysis: Revista De Análisis Turístico 2020, 27, 165-184, https://doi.org/10.1108/JTA-03-2019-0015.

[15]Ma, C.; Song, W.; Xu, C. Factors Influencing Resident Satisfaction with Afforestation in the Plains: Beijing as a Case Study. Sustainability-Basel 2023, 15, 6856, https://doi.org/10.3390/su15086856.

[16]Majumdar, J.; Mal, A.; Gupta, S. Heuristic Model to Improve Feature Selection Based on Machine Learning in Data Mining, In Proceedings of the 2016 6th International Conference on Confluence The Next Generation Information Technology Summit (Confluence), Noida, India, 14-15 January 2016; pp. 73-77.

[17]Yang, X.Y.; Liu, J.; Zhang, M.Q.; Niu, K.; VanAlbada, G.D. A new multi-class SVM algorithm based on one-class SVM, In Proceedings of the Computational Science (ICCS 2007), Beijing, China, 27-30 May 2007; p. 677.

[18]Barreira, A.P.; Agapito, D.; Panagopoulos, T.; Guimaraes, M.H. Exploring residential satisfaction in shrinking cities: a decision-tree approach. Urban Res Pract 2017, 10, 156-177, https://doi.org/10.1080/17535069.2016.1179784.

[19]Le, L.T.; Nguyen, H.; Dou, J.; Zhou, J. A Comparative Study of PSO-ANN, GA-ANN, ICA-ANN, and ABC-ANN in Estimating the Heating Load of Buildings’ Energy Efficiency for Smart City Planning. Appl Sci-Basel 2019, 9, 2630, https://doi.org/10.3390/app9132630.

[20]Dai, H.B.; Huang, G.Q.; Zeng, H.B.; Yu, R.C. Haze Risk Assessment Based on Improved PCA-MEE and ISPO-LightGBM Model. Systems-Basel 2022, 10, 263, https://doi.org/10.3390/systems10060263.

[21]Deb, S.; Gao, X.Z. Prediction of Charging Demand of Electric City Buses of Helsinki, Finland by Random Forest. Energies 2022, 15, 3679, https://doi.org/10.3390/en15103679.

[22]Abraham, R.; Samad, M.E.; Bakhach, A.M.; El-Chaarani, H.; Sardouk, A.; Nemar, S.E.; Jaber, D. Forecasting a Stock Trend Using Genetic Algorithm and Random Forest. J Risk Financ Manag 2022, 15, 188, https://doi.org/10.3390/jrfm15050188.

[23]Badawy, M.; Ramadan, N.; Hefny, H.A. Healthcare predictive analytics using machine learning and deep learning techniques: a survey. Journal of Electrical Systems and Information Technology 2023, 10, 40, http://doi.org/10.1186/s43067-023-00108-y.

[24]Chen, L.; Han, B.; Wang, X.; Zhao, J.; Yang, W.; Yang, Z. Machine Learning Methods in Weather and Climate Applications: A Survey. Applied Sciences 2023, 13, 12019, https://doi.org/10.3390/app132112019.

[25]Boston, T.; Van Dijk, A.; Larraondo, P.R.; Thackway, R. Comparing CNNs and Random Forests for Landsat Image Segmentation Trained on a Large Proxy Land Cover Dataset. Remote Sens-Basel 2022, 14, 3396, https://doi.org/10.3390/rs14143396.

[26]Li, W.Q.; Shi, H.W.; IEEE. A Method Used for Evaluating Bids Based on FCE-AHM, In Proceedings of the 2009 International Conference on Information Management, Innovation Management and Industrial Engineering, Xi’an, China, 31 December 2009; p. 499.

[27]Loecher, M. Unbiased variable importance for random forests. Commun Stat-Theor M 2022, 51, 1413-1425, https://doi.org/10.1080/03610926.2020.1764042.

[28]Niu, Q.F.; Wang, G.; Liu, B.; Zhang, R.Z.; Lei, J.J.; Wang, H.; Liu, M.Z. Selection and prediction of metro station sites based on spatial data and random forest: a study of Lanzhou, China. Sci Rep-Uk 2023, 13, 22542, https://doi.org/10.1038/s41598-023-49877-6.

[29]Chen, W.; Tian, Y.; Wang, Y.; Yan, H.; Wang, Y. Cause Identification and Coupling Relationship Analysis of Urban Problems: A Case Study of Poor Parking Convenience. Buildings-Basel 2024, 14, 516, https://doi.org/10.3390/buildings14020516

[30]Lu, X.; Xiao, Y.; Li, M. The Eco-Sustainable Planning and Revitalisation of Historic and Cultural Blocks: A Case Study of Jiang’an South District Renovation in Wuhan. In 2022; Vol. 08, pp. 51-56.

[31]Xiang, X.; Huang, Y. Smart City Promotes Urban Sustainable Development. China Quality and Standards Review 2019, 01, 32-35.

[32]Easterlin, R.A.; Morgan, R.; Switek, M.; Wang, F. China’s life satisfaction,1990–2010. Proceedings of the National Academy of Sciences 2012, 109, 9775-9780, https://doi.org/10.1073/pnas.1205672109.

[33]Li, X.M.; Liu, H. The Influence of Subjective and Objective Characteristics of Urban Human Settlements on Residents’ Life Satisfaction in China. Land-Basel 2021, 10, 1400, https://doi.org/10.3390/land10121400.

[34]Dempsey, N.; Bramley, G.; Power, S.; Brown, C. The social dimension of sustainable development: Defining urban social sustainability. Sustain Dev 2011, 19, 289-300, https://doi.org/10.1002/sd.417.

[35]Xu, J.; Zhang, W.; Chen, L. Impact of urban population density on perception of human settlements in Hangzhou. Scientia Geographica Sinica 2022, 42, 208-218, https://doi.org/10.13249/j.cnki.sgs.2022.02.003.

[36]Dzhambov, A.M.; Dimitrova, V.; Germanova, N.; Burov, A.; Brezov, D.; Hlebarov, I.; Dimitrova, R. Joint associations and pathways from greenspace, traffic-related air pollution, and noise to poor self-rated general health: A population-based study in Sofia, Bulgaria. In 2023; Vol. 231, p. 116087.

[37]Khaled Al Shawabkeh, R.; Alobaidat, E.; Ibraheem Alhaddad, M.; Alzouby, A.M. The role of social infrastructure services in developing the city centre planning: A framework for delivering sustainable cities in Jordan. Ain Shams Eng J 2022, 13, 101800, https://doi.org/10.1016/j.asej.2022.101800.

[38]Newell, R.; Picketts, I. Spaces, places and possibilities: A participatory approach for developing and using integrated models for community planning. In 2020; Vol. 6, p. 100040.

[39]Seo, S.; Shanklin, C.W. Effect of Dining Frequency on Behavioral Intentions Related to Dining Services in Continuing Care Retirement Communities. Journal of the American Dietetic Association 2005, 105, 47, https://doi.org/10.1016/j.jada.2005.05.156.

[40]Yu, P.; Yung, E.H.K.; Chan, E.H.W.; Wang, S.; Chen, Y.; Chen, Y. Capturing open space fragmentation in high–density cities: Towards sustainable open space planning. In 2023; Vol. 154, p. 102927.

[41]Brauman, K.A.; Daily, G.C.; Duarte, T.K.E.; Mooney, H.A. The Nature and Value of Ecosystem Services: An Overview Highlighting Hydrologic Services. Annu Rev Env Resour 2007, 32, 67-98, https://doi.org/10.1146/annurev.energy.32.031306.102758.

[42]Lu, Z.; Guan, Y.; Shao, C.; Niu, R. Assessing the health impacts of PM2.5 and ozone pollution and their comprehensive correlation in Chinese cities based on extended correlation coefficient. In 2023; Vol. 262, p. 115125.

[43]Drew, J.; Dollery, B.; Kortt, M.A. Can’t Get No Satisfaction? The Association Between Community Satisfaction and Population Size for Victoria. Aust J Publ Admin 2016, 75, 65-77, https://doi.org/10.1111/1467-8500.12117.

[44]Chen, L.; Mak, C.M. Integrated impacts of building height and upstream building on pedestrian comfort around ideal lift-up buildings in a weak wind environment. In 2021; Vol. 200, p. 107963.

[45]Ho, L.; Barthel, M.; Panique-Casso, D.; Vermeulen, K.; Bruneel, S.; Liu, X.; Bodé, S.; Six, J.; Boeckx, P.; Goethals, P. Impact of salinity gradient, water pollution and land use types on greenhouse gas emissions from an urbanized estuary. In 2023; Vol. 336, p. 122500.

[46]Cosic, A.; Stadler, M.; Mansoor, M.; Zellinger, M. Mixed-integer linear programming based optimization strategies for renewable energy communities. In 2021; Vol. 237, p. 121559.

[47]O’Donnell, J.; Cárdenas, D.; Orazani, N.; Evans, A.; Reynolds, K.J. The longitudinal effect of COVID-19 infections and lockdown on mental health and the protective effect of neighbourhood social relations. In 2022; Vol. 297, p. 114821.

[48]Luo, X.; Ren, M.; Zhao, J.; Wang, Z.; Ge, J.; Gao, W. Life cycle assessment for carbon emission impact analysis for the renovation of old residential areas. In 2022; Vol. 367, p. 132930.

[49]Caixeta Szymanski Nogueira, A.C.; D Diaz, C.E. Evaluating public transport accessibility and walkability in Pasig City (Philippines) and their correlation to socioeconomic factors at the Barangay level. In 2023; Vol. 9, p. 100117.

[50]Serbanica, C.; Constantin, D.L. Misfortunes never come singly. A holistic approach to urban resilience and sustainability challenges. In 2023; Vol. 134, p. 104177.

[51]Aigwi, I.E.; Filippova, O.; Sullivan-Taylor, B. Public perception of heritage buildings in the city-centre of Invercargill, New Zealand. In 2023; Vol. 34, p. 100538.

[52]Renne, J.L.; Listokin, D. Transit-oriented development and historic preservation across the United States: A geospatial analysis. In 2021; Vol. 10, p. 100373.

[53]Feng, W.; Liu, Y.; Li, D. Emotional or rational? The congruence effect of message appeals and country stereotype on tourists’ international travel intentions. In 2022; Vol. 95, p. 103423.

[54]O Toole, C.; Martinez-Cillero, M.; Ahrens, A. Price regulation, inflation, and nominal rigidity in housing rents. In 2021; Vol. 52, p. 101769.

[55]Kang, S.; Son, H.; Song, B.K. The effect of housing price inequality on mental health. In 2023; Vol. 85, p. 102460.

[56]Sarker, M.S.H. Assessing levels of migrant-friendliness in the context of vulnerability to climate variability, change and environmental hazard: A comparison of two different-sized cities. In 2022; Vol. 68, p. 102525.

[57]Li, J.; Sun, S.; Li, J. The dawn of vulnerable groups: The inclusive reconstruction mode and strategies for urban villages in China. In 2021; Vol. 110, p. 102347.

[58]Golan, J.; Sicular, T.; Umapathi, N. Unconditional Cash Transfers in China: Who Benefits from the Rural Minimum Living Standard Guarantee (Dibao) Program? In 2017; Vol. 93, pp. 316-336.

[59]Koetter, T.; Sikder, S.K.; Weiss, D. The cooperative urban land development model in Germany - An effective instrument to support affordable housing. In 2021; Vol. 107, p. 105481.

[60]Ma, Y.; Gu, X.; Zhang, W.; Hu, S.; Liu, H.; Zhao, J.; Chen, S. Evaluating the effectiveness of crosswalk tactile paving on street-crossing behavior: A field trial study for people with visual impairment. In 2021; Vol. 163, p. 106420.

[61]Huang, L.; Zhao, X.; Li, Y.; Ma, J.; Yang, L.; Rong, J.; Wang, Y. Optimal design alternatives of advance guide signs of closely spaced exit ramps on urban expressways. In 2020; Vol. 138, p. 105465.

[62]Gong, Y.; Li, Y.; Sun, Y. Waste sorting behaviors promote subjective well-being: A perspective of the self-nature association. In 2023; Vol. 157, pp. 249-255.

[63]Bin Omar, M.; Ali, H.B.; Bin Sipan, I.A.; Bin Abdullah, S.; Sapri, M.B.; Bin Daud, D.; Achu, K. Identification of Key Drivers of Property Management Capability Index for Stratified Residential Property Management in Malaysia, In Proceedings of the 29th International-Business-Information-Management-Association Conference (IBIMA), Vienna, Austria, 3-4 May 2017; pp. 3775-3787.

[64]López, I.; Gutiérrez, V.; Collantes, F.; Gil, D.; Revilla, R.; Luis Gil, J. Developing an indicators plan and software for evaluating Street Cleanliness and Waste Collection Services. J Urban Manag 2017, 6, 66-79, https://doi.org/10.1016/j.jum.2017.06.002.

[65]Falk, C. Rehabilitation of manhole covers. In 1999; Vol. 14, pp. 39-46.

[66]Yamaguchi, T.; Mizutani, T. Detection and localization of manhole and joint covers in radar images by support vector machine and Hough transform. In 2021; Vol. 126.

[67]Rodríguez-Cuenca, B.; García-Cortés, S.; Ordóñez, C.; Alonso, M.C. Automatic Detection and Classification of Pole-Like Objects in Urban Point Cloud Data Using an Anomaly Detection Algorithm. Remote Sens-Basel 2015, 7, 12680-12703, https://doi.org/10.3390/rs71012680.

[68]Hong, S.I.; Ryu, H.S.; Yoon, D.H.; In, C.G.; Park, J.C.; Lin, C.H. A Development of LED-IT-Sensor Integration Streetlight Management System on Ad-hoc, In Proceedings of the 2011 IEEE Region 10 Conference (TENCON 2011), Bali, Indonesia, 21-24 Nov 2011; pp. 1331-1335.

[69]Macea, L.F.; Serrano, I.; Carcache-Guas, C. A reservation-based parking behavioral model for parking demand management in urban areas. In 2023; Vol. 86, p. 101477.

[70]Cleland, C.L.; Williams, A.J.; Kee, F.; Jepson, R.; Kelly, M.P.; Milton, K.; Nightingale, G.; Cope, A.; Hunter, R.F. Can 20mph speed limit interventions influence liveability? A natural experiment using the Microscale Audit of Pedestrian Streetscapes Liveability (MAPS-Liveability) and Google Street View. In 2024; Vol. 35, p. 101779.

[71]Chu-Ketterer, L.J.; Platten, W.E.; Bolenbaugh, S.; Haxton, T. Resilience Analysis and Emergency Response Evaluation for Drinking Water Systems. J Awwa 2023, 115, 32-42, https://doi.org/10.1002/awwa.2107.

[72]Miles, S.B.; Gallagher, H.; Huxford, C.J. Restoration and Impacts from the September 8, 2011, San Diego Power Outage. J Infrastruct Syst 2014, 20, 5014002, https://doi.org/10.1061/(ASCE)IS.1943-555X.0000176.

[73]Bostjancic, E.; Slana, Z. The Role of Talent Management Comparing Medium-Sized and Large Companies - Major Challenges in Attracting and Retaining Talented Employees. In 2018; Vol. 9, p. 1750.

[74]Widerszal-Bazyl, M.; Radkiewicz, P.; Hasselhorn, H.M.; Conway, P.M.; Heijden, B.I.J.M. The Demand-Control-Support model and intent to leave across six European countries: The role of employment opportunities. Work Stress 2008, 22, 166-184, https://doi.org/10.1080/02678370801999750.

[75]Corrado, G.; Corrado, L. Inclusive finance for inclusive growth and development. In 2017; Vol. 24, pp. 19-23.

[76]Tian, Y.; Zhang, Y.; Zhang, T.; Zhu, Y. Co-agglomeration, technological innovation and haze pollution: An empirical research based on the middle reaches of the Yangtze River urban agglomeration. In 2024; Vol. 158, p. 111492.

[77]Liao, B.; Li, L. Spatial division of labor, specialization of green technology innovation process and urban coordinated green development: Evidence from China. In 2022; Vol. 80, p. 103778.

[78]Wittmer, J. Dirty work in the clean city: An embodied Urban Political Ecology of women informal recyclers’ work in the ‘clean city’. Environ Plan E-Nat 2023, 6, 1343-1365, https://doi.org/10.1177/25148486221102374.

[79]Zhang, B.S.; Qi, R.K. Transportation Infrastructure, Innovation Capability, And Urban Economic Development. Transform Bus Econ 2021, 20, 526-545.

[80]Tiitu, M.; Nyberg, E.; Halonen, J.I.; Pasanen, T.P.; Viinikka, A.; Lehtimäki, J.; Lanki, T.; Vierikko, K. Comparing city practitioners and residents perceptions of a liveable neighbourhood in Finland. In 2023; Vol. 32, pp. 1118-1145.

[81]De Lotto, R. Management of urban smart systems. Smart Struct Syst 2022, 30, 333-338, https://doi.org/10.12989/sss.2022.30.3.333.

[82]Phonapichat, P.; Wongwanich, S.; Sujiva, S. The Development of Diagnostic Test Using the Attribute Hierarchy Method. In 2016; Vol. 217, pp. 594-597.

[83]Zhong, J.; Li, Z.; Zhang, D.; Yang, J.; Zhu, J. An evaluation framework for urban ecological compensation priority in China based on meta-analysis and fuzzy comprehensive evaluation. In 2024; Vol. 158, p. 111284.

[84]Hemalatha, S.; Dumpala, L.; Balakrishna, B. Service quality evaluation and ranking of container terminal operators through hybrid multi-criteria decision making methods. The Asian Journal of Shipping and Logistics 2018, 34, 137-144, https://doi.org/10.1016/j.ajsl.2018.06.010.

[85]Boulesteix, A.L.; Bender, A.; Bermejo, J.L.; Strobl, C. Random forest Gini importance favours SNPs with large minor allele frequency: impact, sources and recommendations. Brief Bioinform 2012, 13, 292-304, https://doi.org/10.1093/bib/bbr053.

[86]Khan, Z.; Gul, N.; Faiz, N.; Gul, A.; Adler, W.; Lausen, B. Optimal Trees Selection for Classification via Out-of-Bag Assessment and Sub-Bagging. In 2021; Vol. 9, pp. 28591-28607.

[87]Bylander, T. Estimating generalization error on two-class datasets using out-of-bag estimates. Mach Learn 2002, 48, 287-297, https://doi.org/10.1023/A:1013964023376.

[88]Karunasingha, D.S.K. Root mean square error or mean absolute error? Use their ratio as well. In 2022; Vol. 585, pp. 609-629.

[89]Emmert-Streib, F.; Dehmer, M. Evaluation of Regression Models: Model Assessment, Model Selection and Generalization Error. Mach Learn Know Extr 2019, 1, 521-551, https://doi.org/10.3390/make1010032.

[90]Xie, Y.; Qi, C.; Gu, Y. The analysis of the coupling relation and timing characteristics between the new-type urbanization andurban agricultural development:A case study of Wuhan city. Chinese Journal of Agricultural Resources and Regional Planning 2021, 42, 215-224.

[91]Cui, H.; Fang, H.; Tian, Y.; Zheng, W.; Li, W.; Tian, W. Evaluation of Livability of Wuhan under Ecological Construction and Analysis of Its Spatial Pattern. Sustainability-Basel 2022, 14, 11283, https://doi.org/10.3390/su141811283

[92]Sheng, S.; Song, W.; Lian, H.; Ning, L. Review of Urban Land Management Based on Bibliometrics. Land-Basel 2022, 11, 1968, https://doi.org/10.3390/land11111968.

[93]Liu, S.; Tan, S. Building a New Framework for Urban Parking Facilities Research with Quality Improvement: The Case of Chongqing, China. Int J Env Res Pub He 2023, 20, 607, https://doi.org/10.3390/ijerph20010607.

[94]Erik De Lima Andrade, D.C.D.C. Environmental noise in hospitals: a systematic review. Environmental Science and Pollution Research International 2021, 16, 19629-19642, https://doi.org/10.1007/s11356-021-13211-2.

[95]Yuan, M.; Yin, C.; Sun, Y.; Chen, W. Examining the associations between urban built environment and noise pollution in high-density high-rise urban areas: A case study in Wuhan, China. Sustain Cities Soc 2019, 50, 101678, https://doi.org/10.1016/j.scs.2019.101678.

[96]El-Fadel, M.; Sbayti, H. Parking Facilities in Urban Areas: Air and Noise Impacts. J Urban Plan Dev 2001, 127, 16-33, https://doi.org/10.1061/（ASCE）0733-9488（2001）127：1（16）.

[97]Nikoofam, M.; Mobaraki, A.; Taylor, G. Assessment of Quality of Life in the Urban Environment; Case Study: Famagusta, N. Cyprus. In 2020; Vol. 8, pp. 860-872.

[98]Zhao, L.; Li, H.; Sun, Y.; Huang, R.; Hu, Q.; Wang, J.; Gao, F. Planning Emergency Shelters for Urban Disaster Resilience: An Integrated Location-Allocation Modeling Approach. Sustainability-Basel 2017, 9, 2098, https://doi.org/10.3390/su9112098.

[99]Wang, H.; Gui, H.; Ren, C.; Liu, G. Factors Influencing Urban Residents’ Intention of Garbage Sorting in China: An Extended TPB by Integrating Expectancy Theory and Norm Activation Model. Sustainability-Basel 2021, 13, 12985, https://doi.org/10.3390/su132312985.

[100]NamGung, H.; Kim, C.; Choe, K.; Ri, C.; Kim, Y.; Ri, M. Research Progress of Road Intersection Design Analysis. In 2020; Vol. 7, pp. 245-256.

[101]Liu, J.; Ong, H.Y. Can Malaysia’s National Affordable Housing Policy Guarantee Housing Affordability of Low-Income Households? Sustainability-Basel 2021, 13, 8841, https://doi.org/10.3390/su13168841.

[102]Saidu, A.I.; Yeom, C. Success Criteria Evaluation for a Sustainable and Affordable Housing Model: A Case for Improving Household Welfare in Nigeria Cities. Sustainability-Basel 2020, 12, 656, https://doi.org/10.3390/su12020656.

[103]Wang, Q.; Teo, T. Explaining the relationships among components of intercultural competence: A structural equation modelling approach. In 2024; Vol. 99, p. 101953.

[104]Pluchinotta, I.; Zhou, K.; Moore, G.; Salvia, G.; Belesova, K.; Mohajeri, N.; Hale, J.; Davies, M.; Zimmermann, N. Co-producing knowledge on the use of urban natural space: Participatory system dynamics modelling to understand a complex urban system. In 2024; Vol. 353, p. 120110.

[105]Lee, S. Measuring the influence of transit accessibility on housing and transportation expenditures in the U.S.: A propensity score matching approach. In 2023; Vol. 14, p. 101092.