The Regional Impact of Nanjing Urban Rail Network Accessibility on Residential Property Purchase Intention

Caiyun Song; Jacky Mong Kwan Watt

doi:10.61132/digitalinnovation.v2i3.456

Authors

Caiyun Song North Bangkok University
Jacky Mong Kwan Watt North Bangkok University

DOI:

https://doi.org/10.61132/digitalinnovation.v2i3.456

Keywords:

Regional Impact, Residential Property Purchase Intention, Urban Rail Network Accessibility

Abstract

This study examines the regional impact of Nanjing's urban rail network accessibility on residential property purchase intention, highlighting the interplay between transportation infrastructure and real estate dynamics. As urban rail networks enhance connectivity, they are expected to influence buyer behavior and property values. The research explores how factors such as environmental quality, market conditions, and psychological influences shape purchase intentions among potential buyers. By analyzing data from various neighborhoods affected by the urban rail system, the findings reveal a significant positive correlation between accessibility and property purchase intention, with buyers increasingly valuing sustainable living environments. This study contributes to the understanding of the role of transportation infrastructure in urban development and its impact on residential real estate markets, drawing on insights gathered from a sample of 390 participants in the Nanjing area.

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References

S. Liu, X., Jiang, C., Wang, F., and Yao, “The impact of high-speed railway on urban housing prices in China: A network accessibility perspective.,” Transp. Res. Part A Policy Pract., vol. 152, pp. 84-99., 2021.

M. . Dong, X., Zheng, S., and Kahn, “The role of transportation speed in facilitating high-skilled teamwork across cities.,” J. Urban Econ., vol. 115, pp. 100–131, 2020.

Y. Li, X., Huang, B., Li, Rongrong., and Zhang, “Exploring the Impact of High- Speed Railways on the Spatial Redistribution of Economic Activities: The Yangtze River Delta Urban Agglomeration as a Case Study.,” J. Transp. Geogr., vol. 57, pp. 194–206, 2016.

K. Chen, Z., and Haynes, “Impact of high-speed rail on housing values: an observation from the Beijing–Shanghai line.,” J. Transp. Geogr., vol. 43, pp. 91–100, 2015.

S. Handy, “Planning for Accessibility: In Theory and Practice.,” Access to Destin., vol. 131–147, 2005.

S. He, “Regional impact of rail network accessibility on residential property price: Modelling spatial heterogeneous capitalisation effects in Hong Kong.,” Transp. Res. Part A Policy Pract., vol. 135, pp. 244-263., 2020.

Z. Guo, X., and Qian, “Research on the impact of China’s urban rail transit on economic growth: Based on the PSM-DID model.,” Front. Environ. Sci., vol. 17, pp. 33-48., 2023.

H. Kaneko, Y., Nakagawa, T., Phun, V., and Kato, “Impacts of Urban Railway Investment on Regional Economies: Evidence from Tokyo using Spatial Difference-in- Differences Analysis.,” Transp. Res. Rec. J. Transp. Res. Board., vol. 2673(3), pp. 361-382., 2019.

V. Leonov, Y.; Nakonechnyi, O.; Khalimanenko, V.; Nikolaiko, H.; Heraimovych, “Analysis of the influence of psychological factors on consumer behavior and the decision-making process.,” Econ. Aff. 2023, vol. 68, pp. 1643–1651., 2023.

R. Zhao, H., Furuoka, F., and Rasiah, “The Influence of Psychological Factors on Consumer Purchase Intention for Electric Vehicles: Case Study from China: Integrating the Necessary Condition Analysis Methodology from the Perspective of Self- Determination Theory.,” World Electron. Veh. Journal., vol. 15(8), pp. 331–345, 2024.

W. Zhong, H. and Li, “Rail transit investment and property values: An old tale retold.,” Transp. Policy., vol. 51, pp. 33–48, 2016.

B. Calka, “Estimating Residential Property Values based on Clustering and Geostatistics.,” Geoscience., vol. 9, p. 143, 2019.

M. et al. Lei, “Predicting Chinese older adults’ intention to live in nursing homes using an integrated model of the basic psychological needs theory and the theory of planned behavior.,” Front Public Heal. 10, 112-128., 2022.

J. ( Choi, K.; Park, H.J.; Dewald, “The impact of mixes of transportation options on residential property values: Synergistic effects of walkability.,” Cities. 111, 103080., 2021.

W. Wen, S.; Shi, J.; and Zhang, “Impact of Urban Rail Transit Network on Residential and Commercial Land Values in China: A Complex.,” Netw. Perspect. Complex. 2021. 8849066., 2021.

S. Hai, K. Wu, I. J. Park, Y. Li, Q. Chang, and Y. Tang, “The role of perceived high-performance HR practices and transformational leadership on employee engagement and citizenship behaviors,” J. Manag. Psychol., vol. 35, no. 6, pp. 513–526, 2020, doi: 10.1108/JMP-03-2019-0139.

R. Zhang, J., Chen, W., Petrovsky, N., and Walker, “The Expectancy-Disconfirmation Model and Citizen Satisfaction with Public Services: A Meta-analysis and an Agenda for Best Practice.,” Public Adm. Rev. 82, 147-159., 2021.

P. T. Xu, T.; Zhang, M.; and Aditjandra, “The impact of urban rail transit on commercial property value: New evidence from Wuhan, China.,” Transp. Res. Part A Policy Pr. 91, pp. 223–235., 2016.

and M. Y. Yang Y, “Is China moving toward healthy aging? A tracking study based on 5 phases of CLHLS data.,” Int J Env. Res Pub Heal. 17, 43-53, 2020.

W. Yang, K.; Wang, W.; and Xiong, “Promoting the sustainable development of infrastructure projects through responsible innovation:,” An Evol. game Anal. Util. Policy. 70, 101196., 2021.

Y. Ma, X.; Chen, X.; Li, X.; Ding, C.; and Wang, “Sustainable station-level planning: An integrated transport and land use design model for transit-oriented development.,” J. Clean. Prod. 170, pp. 1052–1063., 2018.

M. Wu, W.; Zheng, S.; Wang, B.; and Du, “Impacts of rail transit access on land and housing values in China,” A Quant. Synth. Transp. Rev.., vol. 40, pp. 629–645., 2020.

X.-C. Huang, Z-F, Lu, L., Su, Q., Zhang, J-H., Sun, J-X., and Wan, “Research and development of rural tourism under new urbanization: theoretical reflection and breakthrough of predicament,” Geogr Res. 34(8), 1409–1421, 2015.