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The influence of the spatial pattern of urban road networks on the quality of business environments: the case of Dalian City

Author

Listed:
  • Dahao Zhang

    (Sun Yat-sen University)

  • Chunshan Zhou

    (Sun Yat-sen University)

  • Dongqi Sun

    (Chinese Academy of Science)

  • Ying Qian

    (Xinjiang University)

Abstract

This study uses multiple sources of data, including comments on the Internet and the urban transport road network, to analyze the spatial differentiation in the quality of different business environments in the main city area of Dalian. In addition, we used the local Getis-OrdGi* index and the space syntax model as references to optimize the space form of the commercial environment. This study reveals the internal relationship between the road network and quality of the commercial environment based on big data; this result has an innovative and guiding significance for urban commercial development. The study achieved the following results. First, the hotspots of business environment quality features a spatial pattern of “one main and four secondary.” Second, the road networks with high global integration are mainly situated in the central city, the main road to the outer city, and the key transport hubs. Third, global integration, local integration, and local choice of the road network have a relatively large impact on the business environment quality. Additionally, the impact of the global choice on the business environment quality is relatively small. Fourth, the correlation coefficient between global choice and the quality of business environments for leisure and entertainment suggest a positive relationship, but negatively correlates with life services and science, education, culture, and health. Finally, the local choice is negatively correlated with the quality of business environments for science, education, culture, and health, whereas it positively correlates with the business environment quality for leisure and entertainment and life services.

Suggested Citation

  • Dahao Zhang & Chunshan Zhou & Dongqi Sun & Ying Qian, 2022. "The influence of the spatial pattern of urban road networks on the quality of business environments: the case of Dalian City," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(7), pages 9429-9446, July.
    • Handle: RePEc:spr:endesu:v:24:y:2022:i:7:d:10.1007_s10668-021-01832-z
    DOI: 10.1007/s10668-021-01832-z
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    References listed on IDEAS

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    1. Setyani Dwi Lestari, 2019. "The Effect of Product, Service, and Customer Satisfaction on Word-of-Mouth Behavior," GATR Journals jmmr221, Global Academy of Training and Research (GATR) Enterprise.
    2. Konuk, Faruk Anıl, 2019. "The influence of perceived food quality, price fairness, perceived value and satisfaction on customers’ revisit and word-of-mouth intentions towards organic food restaurants," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 103-110.
    3. Dahao Zhang & Chunshan Zhou & Wenwen Xu, 2020. "Spatial-Temporal Characteristics of Primary and Secondary Educational Resources for Relocated Children of Migrant Workers: The Case of Liaoning Province," Complexity, Hindawi, vol. 2020, pages 1-13, July.
    4. Xia, Jianhong (Cecilia) & Evans, Fiona H. & Spilsbury, Katrina & Ciesielski, Vic & Arrowsmith, Colin & Wright, Graeme, 2010. "Market segments based on the dominant movement patterns of tourists," Tourism Management, Elsevier, vol. 31(4), pages 464-469.
    5. Xi, Guangliang & Cao, Xinyu & Zhen, Feng, 2020. "The impacts of same day delivery online shopping on local store shopping in Nanjing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 35-47.
    6. Jun Zhang & Xiong He & Xiao-Die Yuan, 2020. "Research on the relationship between Urban economic development level and urban spatial structure—A case study of two Chinese cities," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-14, July.
    7. Chenxi Li & Xing Gao & Bao-Jie He & Jingyao Wu & Kening Wu, 2019. "Coupling Coordination Relationships between Urban-industrial Land Use Efficiency and Accessibility of Highway Networks: Evidence from Beijing-Tianjin-Hebei Urban Agglomeration, China," Sustainability, MDPI, vol. 11(5), pages 1-23, March.
    8. Tiantian Zhang & Zefeng Lian & Yannan Xu, 2020. "Combining GPS and space syntax analysis to improve understanding of visitor temporal–spatial behaviour: a case study of the Lion Grove in China," Landscape Research, Taylor & Francis Journals, vol. 45(4), pages 534-546, May.
    9. Xue-ming Li & Zhi-zhen Bai & Shen-zhen Tian & Jun Yang & Yu-jie Guo, 2020. "Human Settlement Assessment in Jinan From a Facility Resource Perspective," SAGE Open, , vol. 10(2), pages 21582440209, June.
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