Abstract

Socioeconomic value is the basis of underground space development in centrally located cities, especially in mountainous cities with limited land area. Based on the spatial benefits brought by the development of urban underground space, this study uses the entropy method to analyze the conditions of socioeconomic suitability of the development of underground space in the central city of Kunming, China, through a comprehensive analysis of spatial location, traffic conditions, and other data and also uses the exponential smoothing method to predict the data of future suitability conditions. A socioeconomic evaluation system suitable for Kunming underground space development is put forward. The results show that 17.59% (79.9 km2) of the downtown area of Kunming in 2020 was highly suitable for underground development and had great spatial benefits. By 2025 and 2030, the socioeconomic benefits of underground development in some areas will increase as the urban population grows. The results show that the urban underground space in the study area contains great spatial benefits, and with the passage of time, the area suitable for development will gradually increase. In this study, the necessity of underground space development prediction is demonstrated, and the reference of urban underground space development social economy prediction is put forward.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

We are grateful to the anonymous reviewers for their constructive suggestions that improved this study significantly. This research was supported by the National Natural Science Foundation of China (No. 41961064), the Open Research Fund of the Key Laboratory of Digital Mapping and Land Information Application, Ministry of Natural Resources of the People’s Republic of China (ZRZYBWD202108), and the Ministry of Housing and Urban Rural Development of China Science and Technology Project (No. 2018-k8-046). We also acknowledge the technical support provided by the Kunming Urban Underground Space Planning and Management Office.

References

Admiraal, H., and A. Cornaro. 2020. “Future cities, resilient citieshThe role of underground space in achieving urban resilience.” Underground Space 5 (3): 223–228. https://doi.org/10.1016/j.undsp.2019.02.001.
Al-Darwish, Y., H. Ayad, D. Taha, and D. Saadallah. 2018. “Predicting the future urban growth and it’s impacts on the surrounding environment using urban simulation models: Case study of Ibb city—Yemen.” Alexandria Eng. J. 57 (4): 2887–2895. https://doi.org/10.1016/j.aej.2017.10.009.
Brueckner, J., and D. Fansler. 1983. “The economics of urban sprawl: Theory and evidence on the spatial sizes of cities.” Rev. Econ. Stat. 65: 479–482. https://doi.org/10.2307/1924193.
Deng, X., J. Huang, S. Rozelle, and E. Uchida. 2008. “Growth, population and industrialization, and urban land expansion of China.” J. Urban Econ. 63: 96–115. https://doi.org/10.1016/j.jue.2006.12.006.
Dewan, A., and Y. Yamaguchi. 2009. “Land use and land cover change in greater Dhaka, Bangladesh: Using remote sensing to promote sustainable urbanization.” Appl. Geogr. 29 (3): 390–401. https://doi.org/10.1016/j.apgeog.2008.12.005.
Duan, Y. Q., Z. Q. Xie, F. Zhao, H. Y. Zeng, M. N. Lin, H. Y. Chen, X. Q. Zuo, J. L. He, and Z. Q. Hou. 2021. “Suitability of underground space development in plateau cities based on geological environment analysis: Case study in Kunming, China.” J. Urban Plann. Dev. 147 (2): 05021014. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000687.
El Ghorab, H. K., and H. A. Shalaby. 2016. “Eco and Green cities as new approaches for planning and developing cities in Egypt.” Alexandria Eng. J. 55 (1): 495–503. https://doi.org/10.1016/j.aej.2015.12.018.
Estoque, R., and Y. Murayama. 2013. “Landscape pattern and ecosystem service value changes: Implications for environmental sustainability planning for the rapidly urbanizing summer capital of the Philippines.” Landscape Urban Plann. 116: 60–72. https://doi.org/10.1016/j.landurbplan.2013.04.008.
Foley, J., et al. 2005. “Global consequences of land use.” Science 309: 570–574. https://doi.org/10.1126/science.1111772.
Hashem, N., and P. Balakrishnan. 2014. “Change analysis of land use/land cover and modelling urban growth in Greater Doha, Qatar.” Ann. GIS 21 (3): 233–247. https://doi.org/10.1080/19475683.2014.992369.
Hyndman, R. 2001. “It’s time to move from ‘what’ to ‘why.’” Int. J. Forecasting 17: 567–570.
Ibeas, Á, R. Cordera, L. Dell’Olio, P. Coppola, and A. Dominguez. 2012. “Modelling transport and real-estate values interactions in urban systems.” J. Transp. Geogr. 24: 370–382. https://doi.org/10.1016/j.jtrangeo.2012.04.012.
Illia, F., M. Fareez, and M. Aishah. 2020. “Parking spaces in Taylor’s University: Problems and solutions.” Environ. Behav. Proc. 5 (13): 323–327. https://doi.org/10.21834/e-bpj.v5i13.2035.
Li, G., S. Sun, and C. Fang. 2018. “The varying driving forces of urban expansion in China: Insights from a spatial-temporal analysis.” Landscape Urban Plann. 174: 63–77. https://doi.org/10.1016/j.landurbplan.2018.03.004.
Li, J., and Z. Sun. 2020. “Urban function orientation based on spatiotemporal differences and driving factors of urban construction land.” J. Urban Plann. Dev. 146 (3): 05020011. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000587.
Liang, X., X. Liu, X. Li, Y. Chen, H. Tian, and Y. Yao. 2018. “Delineating multi-scenario urban growth boundaries with a CA-based FLUS model and morphological method.” Landscape Urban Plann. 177: 47–63. https://doi.org/10.1016/j.landurbplan.2018.04.016.
Lin, X., Y. Wang, S. Wang, and D. Wang. 2015. “Spatial differences and driving forces of land urbanization in China.” J. Geog. Sci. 25 (5): 545–558. https://doi.org/10.1007/s11442-015-1186-7.
Liu, J., J. Zhan, and X. Deng. 2005. “Spatio-temporal patterns and driving forces of urban land expansion in China during the economic reform era.” Ambio 34: 450–455. https://doi.org/10.1639/0044-7447(2005)034[0450:SPADFO]2.0.CO;2.
Liu, X., L. Ma, X. Li, B. Ai, S. Li, and Z. He. 2013. “Simulating urban growth by integrating landscape expansion index (LEI) and cellular automata.” Int. J. Geog. Inf. Sci. 28 (1): 148–163. https://doi.org/10.1080/13658816.2013.831097.
Longo, R., and F. Xu. 2021. “Von Neumann entropy in QFT.” Commun. Math. Phys. 381: 1–24. https://doi.org/10.1007/s00220-020-03702-7.
Ma, D., C. Zeng, and Q. Ai. 2014. “GIS technology applied in urban plot ratio statistics and land suitability evaluation.” Appl. Mech. Mater. 638–640: 2146–2150. https://doi.org/10.4028/www.scientific.net/AMM.638-640.2146.
Qiao, Y. K., F. L. Peng, Y. P. Luan, and X. L. Wu. 2022b. “Rethinking underground land value and pricing: A sustainability perspective.” Tunnelling Underground Space Technol. 127: 104573. https://doi.org/10.1016/j.tust.2022.104573.
Qiao, Y. K., F. L. Peng, S. Sabri, and A. Rajabifard. 2019. “Socio-environmental costs of underground space use for urban sustainability.” Sustainable Cities Soc. 51: 101757. https://doi.org/10.1016/j.scs.2019.101757.
Qiao, Y. K., F. L. Peng, X. L. Wu, and Y. P. Luan. 2022a. “Visualization and spatial analysis of socio-environmental externalities of urban underground space use: Part 1 positive externalities.” Tunnelling Underground Space Technol. 121: 104325. https://doi.org/10.1016/j.tust.2021.104325.
Qihu, Q. 2016. “Present state, problems and development trends of urban underground space in China.” Tunnelling Underground Space Technol. 55: 280–289. https://doi.org/10.1016/j.tust.2015.11.007.
Seto, K. C., M. Fragkias, B. Guneralp, and M. K. Reilly. 2011. “A meta-analysis of global urban land expansion.” PLoS One 6 (8): e23777. https://doi.org/10.1371/journal.pone.0023777.
Seto, K. C., R. Sánchez-Rodríguez, and M. Fragkias. 2010. “The new geography of contemporary urbanization and the environment.” Annu. Rev. Environ. Resour. 35 (1): 167–194. https://doi.org/10.1146/annurev-environ-100809-125336.
Subrt, J., and L. Titarenko. 2020. “Dimensions of time and space in sociology.” RUDN J. Sociol. 20: 752–762. https://doi.org/10.22363/2313-2272-2020-20-4-752-762.
Sun, Q., W. Qi, and X. Yu. 2021. “Impacts of land use change on ecosystem services in the intensive agricultural area of North China based on multi-scenario analysis.” Alexandria Eng. J. 60 (1): 1703–1716. https://doi.org/10.1016/j.aej.2020.11.020.
Sun, Z., S. Yu, H. Guo, C. Wang, Z. Zhang, and R. Xu. 2020. “Assessing 40 years of spatial dynamics and patterns in megacities along the Belt and Road region using satellite imagery.” Int. J. Digital Earth 14 (1): 71–87. https://doi.org/10.1080/17538947.2020.1747560.
Timmermann, A., and S. Satchell. 1995. “On the optimality of adaptive expectations: Muth revisited.” Int. J. Forecasting 11: 407–416. https://doi.org/10.1016/0169-2070(95)00588-7.
Von der Tann, L., R. Sterling, Y. Zhou, and N. Metje. 2020. “Systems approaches to urban underground space planning and management—A review.” Underground Space 5 (2): 144–166. https://doi.org/10.1016/j.undsp.2019.03.003.
Wang, R. 2009. “The structure of Chinese urban land prices: Estimates from benchmark land price data.” J. Real Estate Finance Econ. 39: 24–38. https://doi.org/10.1007/s11146-007-9100-4.
Wang, Z., and C. Lu. 2018. “Urban land expansion and its driving factors of mountain cities in China during 1990–2015.” J. Geog. Sci. 28: 1152–1166. https://doi.org/10.1007/s11442-018-1547-0.
Yao, Y., X. Li, X. Liu, P. Liu, L. Zhaotang, J. Zhang, and K. Mai. 2016. “Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model.” Int. J. Geog. Inf. Sci. 31: 1–24. https://doi.org/10.1080/13658816.2016.1244608.
Zhang, X., C. Wang, J. Fan, H. Wang, and H. Li. 2020. “Optimizing the analytic hierarchy process through a suitability evaluation of underground space development in Tonghu District, Huizhou City.” Energies 13 (3): 742. https://doi.org/10.3390/en13030742.
Zhang, Z., S. Su, R. Xiao, D. Jiang, and J. Wu. 2013. “Identifying determinants of urban growth from a multi-scale perspective: A case study of the urban agglomeration around Hangzhou Bay, China.” Appl. Geogr. 45: 193–202. https://doi.org/10.1016/j.apgeog.2013.09.013.
Zhu, H., X. Huang, X. Li, L. Zhang, and X. Liu. 2016. “Evaluation of urban underground space resources using digitalization technologies.” Underground Space 1 (2): 124–136. https://doi.org/10.1016/j.undsp.2016.08.002.

Information & Authors

Information

Published In

Go to Journal of Urban Planning and Development
Journal of Urban Planning and Development
Volume 149Issue 2June 2023

History

Received: Apr 2, 2022
Accepted: Nov 4, 2022
Published online: Jan 19, 2023
Published in print: Jun 1, 2023
Discussion open until: Jun 19, 2023

Permissions

Request permissions for this article.

Authors

Affiliations

Master’s Candidate, Institute of International Rivers and Eco-Security, Yunnan Univ., Kunming 650504, China. ORCID: https://orcid.org/0000-0002-4497-5825. Email: [email protected]
Zhiqiang Xie [email protected]
School of Earth Sciences, Yunnan Univ., Kunming 650504, China (corresponding author). Email: [email protected]
Fengshan Jiang [email protected]
Master’s Candidate, School of Earth Sciences, Yunnan Univ., Kunming 650504, China. Email: [email protected]
Master’s Candidate, School of Earth Sciences, Yunnan Univ., Kunming 650504, China. Email: [email protected]
Shouquan Yang [email protected]
Master’s Candidate, Institute of International Rivers and Eco-Security, Yunnan Univ., Kunming 650504, China. Email: [email protected]
Master’s Candidate, Institute of International Rivers and Eco-Security, Yunnan Univ., Kunming 650504, China. Email: [email protected]
School of Earth Sciences, Yunnan Univ., Kunming 650504, China. Email: [email protected]
Jianglong He [email protected]
Kunming Management Office of Urban Underground Space Planning, Kunming 650041, China. Email: [email protected]
Kunming City Planning and Information Center, Kunming 650506, China. Email: [email protected]
Director, Dept. of Kunming Management Office of Urban Underground Space Planning, Kunming 650041, China. Email: [email protected]
Haiyun Jian [email protected]
Kunming City Planning and Design Institute, Kunming 650011, China. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share