Spatial Characteristics and Influencing Factors of People's Livelihood Issues Based on Urban Online Governance Platforms: A Case of Chengdu, China
Publication: Journal of Urban Planning and Development
Volume 150, Issue 4
Abstract
People's livelihood issues are related to their basic needs and interests, and the use of information and communication technologies (ICTs), which enable citizens to actively participate in the governance of people's livelihood issues, has revolutionized the paradigm of managing and regulating affairs and issues in the city. Although livelihood issues are different from physical objects, they occur in a specific space, are still affected by many geospatial factors, and should also exhibit specific spatial characteristics. To investigate the spatial characteristics and influencing factors of livelihood issues in the main urban areas of Chengdu City, the study was based on the data of livelihood issues in Chengdu City's online governance platform. First, it explored the spatial and temporal distribution characteristics of livelihood issues in the main urban areas of Chengdu City by using spatial analysis. It then analyzed the influencing factors of the spatial differentiation of livelihood issues by using text analysis and Geodetectors, and finally put forward the countermeasures for governance of livelihood issues. The results show that holidays and temperature changes may affect the intensity of people's daily activities and regulate the periodicity of production and life, causing the number of livelihood issues to change with the seasons, showing an increase in the number of livelihood issues in spring and fall, and a decrease in the number of livelihood issues in summer and winter. The cold spots and hot spots of livelihood issues are characterized by marginalization and concentration in space. The livelihood issues in the categories of residents' life, road traffic, housing and land, social service, city environment, and building production are spatially clustered, with the kernel density values decreasing from the center to the periphery, and the high-value areas dispersed in the form of small clusters. The overall explanatory power of commercial conditions and public service conditions in explaining the spatial differentiation of livelihood issues surpasses that of demographic conditions and traffic conditions. This study expands the research path of livelihood issues, enriches the data sources, and supplements the research on livelihood issues at small scales with subdistricts as the research unit. The study's findings can aid in identifying the spatial and temporal patterns of livelihood issues, and serve as a foundation for devising strategies to prevent and address livelihood issues.
Practical Applications
In the context of the digital era, the application of an online governance platform makes urban governance more intelligent and efficient. As a critical component of urban governance, livelihood issues are inextricably linked to people's daily lives. The majority of current research focuses on the governance of livelihood issues; nevertheless, there is still a lack of research into whether livelihood issues have specific spatial characteristics and what variables influence their spatial distribution. We collected data on livelihood issues with spatial attributes using an online governance platform. After conducting spatial analysis, we discovered that the characteristics of the spatial distribution of livelihood issues show the marginalization and concentration of subdistricts with low rates of livelihood issues and notably concentrated livelihood issues, and that livelihood issues are more frequent at the junction of subdistricts. The density of commercial and public service facilities has a stronger influence on the distribution of livelihood issues than the density of transportation and demographic conditions. This study takes a novel approach to studying livelihood issues by conducting in-depth analyses of spatial and temporal distribution characteristics, as well as influencing factors, and can serve as a foundation for the development of urban governance countermeasures, thereby improving the effectiveness of urban governance and urban development quality.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This study is funded by the National Key Research and Development Program Project (No. 2018YFD1100102), Project of Hubei Key Laboratory of Regional Development and Environmental Response (Hubei University) (No.2018C003), and Wuhan City Social Science Foundation Project (No. 2022003).
References
Abbaspour, M., E. Karimi, P. Nassiri, M. R. Monazzam, and L. Taghavi. 2015. “Hierarchal assessment of noise pollution in urban areas – A case study.” Transport. Res. Part D Transp. Environ. 34: 95–103. https://doi.org/10.1016/j.trd.2014.10.002.
Bouregh, A. S., K. M. Maniruzzaman, I. R. Abubakar, F. S. Alshihri, T. I. Alrawaf, S. M. S. Ahmed, and M. S. Boureggah. 2023. “Investigating the prospect of e-participation in urban planning in Saudi Arabia.” Cities 134: 104186. https://doi.org/10.1016/j.cities.2022.104186.
Cao, Y. 2022. “Spatial differences and textual preferences in government responses–A big data analysis based on the central provincial online government platforms.” [In Chinese.] Young J. 24: 81–82. https://doi.org/10.15997/j.cnki.qnjz.2022.24.012.
Castelnovo, W., G. Misuraca, and A. Savoldelli. 2016. “Smart cities governance: The need for a holistic approach to assessing urban participatory policy making.” Soc. Sci. Comput. Rev. 34 (6): 724–739. https://doi.org/10.1177/0894439315611103.
Chen, T., R. Liu, and J. Wu. 2023. “Spatial differentiation characteristics and influence mechanism of livelihood issues in central urban area of Wuhan based on urban message board data.” [In Chinese.] Geog. Geo-Inform. Sci. 39 (2): 64–71. https://doi.org/10.3969/j.issn.1672-0504.2023.02.009.
Choi, Y., Y.-H. Kwon, and J. Kim. 2018. “The effect of the social networks of the elderly on housing choice in Korea.” Habitat Int. 74: 1–8. https://doi.org/10.1016/j.habitatint.2018.02.003.
Du, H., Z. Chen, G. Mao, R. Y. M. Li, and L. Chai. 2018. “A spatio-temporal analysis of low carbon development in China’s 30 provinces: A perspective on the maximum flux principle.” Ecol. Indic. 90: 54–64. https://doi.org/10.1016/j.ecolind.2018.02.044.
Gao, X., Y. Song, and X. Zhu. 2013. “Integration and coordination: Advancing China’s fragmented e-government to holistic governance.” Gov. Inf. Q. 30 (2): 173–181. https://doi.org/10.1016/j.giq.2012.12.003.
Gao, Z., and X. Li. 2023. “Research on spatial identification and influencing factors of urban governance problems: An exploration based on city message board data of Wuhan.” Hum. Geog. 79 (1): 79–86. https://doi.org/10.13959/j.issn.1003-2398.2023.01.010.
Ge, T., X. Chen, Y. Geng, and K. Yang. 2023. “Does regional collaborative governance reduce air pollution? Quasi-experimental evidence from China.” J. Clean. Prod. 419: 138283. https://doi.org/10.1016/j.jclepro.2023.138283.
Gu, C. 2019. The road to China’s New urbanization. [In Chinese.] Beijing: Science Press.
Guo, L.-H., S. Cheng, J. Liu, Y. Wang, Y. Cai, and X.-C. Hong. 2022. “Does social perception data express the spatio-temporal pattern of perceived urban noise? A case study based on 3,137 noise complaints in Fuzhou, China.” Appl. Acoust. 201 (1): 109129. https://doi.org/10.1016/j.apacoust.2022.109129.
He, P. 2023. “Generation mechanisms and governance dilemmas of composite spatial structures in Chinese urban communities.” [In Chinese.] Leadersh. Sci. 6: 103–107. https://doi.org/10.19572/j.cnki.ldkx.2023.06.007.
Huang, G., and D. Xu. 2023. “The last mile matters: Impact of dockless bike-sharing services on traffic congestion.” Transp. Res. Part D: Transp. Environ. 121: 103836. https://doi.org/10.1016/j.trd.2023.103836.
Ivan, L., J. Dikken, and J. Van Hoof. 2024. “Unveiling the experienced age-friendliness of older people in Bucharest: A comprehensive study using the validated Romanian age-friendly cities and communities questionnaire and cluster analysis.” Habitat Int. 143: 102973. https://doi.org/10.1016/j.habitatint.2023.102973.
Jiang, H., H. Pan, Y. Lin, and S. Geertman. 2023. “Hacking corporate smart cities under COVID-19: Towards a smart governance approach.” J. Urban Technol. 30 (4): 71–81. https://doi.org/10.1080/10630732.2023.2255122.
Jiao, J., Y. Jin, and R. Yang. 2024. “An approach to exploring the spatial distribution and influencing factors of urban problems based on land use types.” Sustainable Cities Soc. 104: 105321. https://doi.org/10.1016/j.scs.2024.105321.
Kim, B., M. Yoo, K. C. Park, K. R. Lee, and J. H. Kim. 2021. “A value of civic voices for smart city: A big data analysis of civic queries posed by Seoul citizens.” Cities 108: 102941. https://doi.org/10.1016/j.cities.2020.102941.
Kocabıyık, C., and M. Loopmans. 2021. “Seasonal gentrification and its (dis)contents: Exploring the temporalities of rural change in a Turkish small town.” J. Rural Stud. 87: 482–493. https://doi.org/10.1016/j.jrurstud.2020.09.002.
Kolotouchkina, O., C. L. Barroso, and J. L. M. Sánchez. 2022. “Smart cities, the digital divide, and people with disabilities.” Cities 123: 103613. https://doi.org/10.1016/j.cities.2022.103613.
Kong, X., B. Dong, and K. Xu. 2023. “Text classification model for livelihood issues based on BERT: A study based on hotline compliant data of Zhejiang province.” [In Chinese.] Acta Sci. Nat. Universitatis Pekinensis 59 (3): 456–466. https://doi.org/10.13209/j.0479-8023.2023.030.
Kontokosta, E. C., and B. Hong. 2021. “Bias in smart city governance: How socio-spatial disparities in 311 complaint behavior impact the fairness of data-driven decisions.” Sustainable Cities Soc. 64: 102503. https://doi.org/10.1016/j.scs.2020.102503.
Kovács, K. D., and I. Haidu. 2022. “Tracing out the effect of transportation infrastructure on NO concentration levels with kernel density estimation by investigating successive COVID-19-induced lockdowns.” Environ. Pollut. 309: 119–129. https://doi.org/10.1016/j.envpol.2022.119719.
Lee-Geiller, S. 2024. “Technology married to good governance and diversity: Explaining e-participation preparedness in government.” Technol. Forecasting Social Change 201: 123218. https://doi.org/10.1016/j.techfore.2024.123218.
Li, B., S. J. T. Jansen, H. van der Heijden, C. Jin, and P. Boelhouwer. 2022. “Unraveling the determinants for private renting in metropolitan China: An application of the theory of planned behavior.” Habitat Int. 127: 102640. https://doi.org/10.1016/j.habitatint.2022.102640.
Li, F., and M. de Jong. 2017. “Citizen participation in China’s eco-city development. Will ‘new-type urbanization’ generate a breakthrough in realizing it?” J. Clean. Prod. 162: 1085–1094. https://doi.org/10.1016/j.jclepro.2017.06.121.
Ling, Z., and L. Zeng. 2023. “Paths to achieving the effectiveness of urban community governance: A qualitative comparative analysis of fuzzy sets based on social system theory.” [In Chinese.] J. Shanghai Admin. Inst. 24 (6): 86–101.
Ly, B., and R. Ly. 2023. “Emerging trends in social media for E-governance and citizen engagement: A case study of telegram in Cambodia.” Comput. Hum. Behav. 12: 100347. https://doi.org/10.1016/j.chbr.2023.100347.
Miroshnyk, N. V., A. F. Likhanov, T.O. Grabovska, I. K. Teslenko, and H. Roubík. 2022. “Green infrastructure and relationship with urbanization – Importance and necessity of integrated governance.” Land Use Policy 114: 105941. https://doi.org/10.1016/j.landusepol.2021.105941.
MOHURD (Ministry of Housing and Urban-Rural Development of the People's Republic of China). 2007. Management components and event classification, coding, and data requirements of urban municipal comprehensive supervision information system. CJ/T 214-2007. Beijing: Ministry of Housing and Urban-Rural Development of the People’s Republic of China.
Moon, N. W., P. M. A. Baker, J. Bricout, and B. Sharma. 2021. “Exploring the smart future of participation: Community, inclusivity, and people with disabilities.” Int. J. E-Plann. Res. 10 (2): 94–108. https://doi.org/10.4018/IJEPR.20210401.oa8.
Noor, M. A., S. Ashrafi, M. A. Fattah, S. R. Morshed, and S. Rahman. 2021. “Assessment of traffic congestion scenario at the CBD areas in a developing city: In the context of Khulna city, Bangladesh.” Transp. Res. Interdisicp. Perspect. 11: 100435. https://doi.org/10.1016/j.trip.2021.100435.
Pan, H., Y. Kwak, and B. Deal. 2022. “Participatory development of planning support systems to improve empowerment and localization.” J. Urban Technol. 29 (2): 33–54. https://doi.org/10.1080/10630732.2022.2031431.
Pan, P., and Y. Chen. 2021. “Automatic subject classification of public messages in E-government affairs.” Data Inf. Manage. 5 (3): 336–347. https://doi.org/10.2478/dim-2021-0004.
Panagiotopoulos, P., B. Klievink, and A. Cordella. 2019. “Public value creation in digital government.” Gov. Inf. Q. 36 (4): 101421. https://doi.org/10.1016/j.giq.2019.101421.
Peris, E., and M. Arguelles. 2023. “Small-area analysis of social inequalities in exposure to environmental noise across four urban areas in England.” Sustainable Cities Soc. 95 (5): 104603. https://doi.org/10.1016/j.scs.2023.104603.
Przeybilovicz, E., and M. A. Cunha. 2024. “Governing in the digital age: The emergence of dynamic smart urban governance modes.” Gov. Inf. Q. 41 (1): 101907. https://doi.org/10.1016/j.giq.2023.101907.
Rodriguez-Segura, D, and B. H. Kim. 2021. “The last mile in school access: Mapping education deserts in developing countries.” Dev. Eng. 6: 100064. https://doi.org/10.1016/j.deveng.2021.100064.
Song, J., Y. Zhou, and Q. He. 2023a. “The impact of emotional load on service quality and operational effiviency of online political inquiry platform-evidence from textual data.” [In Chinese.] Chin. J. Manage. Sci 31 (3): 133–142. https://doi.org/10.16381/j.cnki.issn1003-207x.2022.0373.
Song, K., Y. Chen, Y. Duan, and Y. Zheng. 2023b. “Urban governance: A review of intellectual structure and topic evolution.” Urban Gov. 3 (3): 169–185. https://doi.org/10.1016/j.ugj.2023.06.001.
Su, Y., X. Zhang, and X. Chen. 2023. “How to alleviate alienation from the perspective of urban community public space—Evidence from urban young residents in China.” Habitat Int. 138: 102836. https://doi.org/10.1016/j.habitatint.2023.102836.
Tan, M., X. Li, C. Lu, W. Luo, X. Kong, and S. Ma. 2008. “Urban population densities and their policy implications in China.” Habitat Int. 32 (4): 471–484. https://doi.org/10.1016/j.habitatint.2008.01.003.
Tang, S.-Y. 2021. “Rethinking local and regional governance in China: An institutional design and development perspective.” Urban Gov. 1 (1): 51–58. https://doi.org/10.1016/j.ugj.2021.11.002.
Turner, M., J. Kim, and S.-H. Kwon. 2022. “The political economy of E-government innovation and success in Korea.” J. Open Innovation Technol. Mark. Complexity 8 (3): 145–156. https://doi.org/10.3390/joitmc8030145.
Wang, H., and J. Guo. 2023. “New way out of efficiency-equity dilemma: Digital technology empowerment for local government environmental governance.” Technol. Forecasting Social Change 200: 123184. https://doi.org/10.1016/j.techfore.2023.123184.
Wang, J., G. Luo, Y. Huang, M Liu, and Y. Wei. 2023. “Spatial characteristics and influencing factors of commuting in central urban areas using mobile phone data: A case study of nanning.” Sustainability 15 (12): 9648. https://doi.org/10.3390/su15129648.
Wen, H., S. Li, H. Liu, Y. Xiao, H. Liu. 2022. “Externality impacts of “Not in My Backyard” facilities on property values: Evidence from the Hangzhou waste sorting and reduction complex projects.” Habitat Int. 125: 102583. https://doi.org/10.1016/j.habitatint.2022.102583.
Wu, Z., K. Wang, and W. Chen. 2020. “Academic pen talk on “innovative thoughts on the refined governance of community spaces.” [In Chinese.] Urban Plan. Forum 3: 1–14.
Yao, Q., R. Y. M. Li, and L. Song. 2022. “Construction safety knowledge sharing on YouTube from 2007 to 2021: Two-step flow theory and semantic analysis.” Safety Sci. 153: 105796. https://doi.org/10.1016/j.ssci.2022.105796.
Yao, Q., R. Y. M. Li, L. Song, and M. J. C. Crabbe. 2021. “Construction safety knowledge sharing on twitter: A social network analysis.” Safety Sci. 143: 105411. https://doi.org/10.1016/j.ssci.2021.105411.
Zhang, H., C. Cong, and A. Chakraborty. 2022. “Exploring the institutional dilemma and governance transformation in China’s urban regeneration: Based on the case of Shanghai old town.” Cities 131: 103915. https://doi.org/10.1016/j.cities.2022.103915.
Zhang, J., and L. Wu. 2017. “The influence of population movements on the urban relative humidity of Beijing during the Chinese spring festival holiday.” J. Clean. Product. 170: 1508–1513. https://doi.org/10.1016/j.jclepro.2017.09.274.
Zhu, M. 2023. “The effect of political participation of Chinese citizens on government satisfaction: Based on modified causal forest.” Procedia Comput. Sci. 221: 1044–1051. https://doi.org/10.1016/j.procs.2023.08.086.
Zhuang, L., and C. Ye. 2023. “Spatial production in the process of rapid urbanisation and ageing: A case study of the new type of community in suburban Shanghai.” Habitat Int. 139: 102883. https://doi.org/10.1016/j.habitatint.2023.102883.
Zou, Q., Z. Mao, R. Yan, S. Liu, and Z. Duan. 2023. “Vision and reality of e-government for governance improvement: Evidence from global cross-country panel data.” Technol. Forecasting. Social Change 194: 122667. https://doi.org/10.1016/j.techfore.2023.122667.
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Journal of Urban Planning and Development
Volume 150 • Issue 4 • December 2024
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© 2024 American Society of Civil Engineers.
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Received: Sep 26, 2023
Accepted: May 22, 2024
Published online: Jul 17, 2024
Published in print: Dec 1, 2024
Discussion open until: Dec 17, 2024
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