IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v24y2022i7d10.1007_s10668-021-01832-z.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-021-01832-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10668-021-01832-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    4. 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.
    5. 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.
    6. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chunshan Zhou & Dahao Zhang & Xiong He, 2021. "Transportation Accessibility Evaluation of Educational Institutions Conducting Field Environmental Education Activities in Ecological Protection Areas: A Case Study of Zhuhai City," Sustainability, MDPI, vol. 13(16), pages 1-16, August.
    2. Hyeon Jo & Do-Hyung Park, 2024. "Exploring loyalty drivers for smartphone and mobile carriers," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    3. Chenxi Li & Kening Wu, 2022. "An input–output analysis of transportation equipment manufacturing industrial transfer: Evidence from Beijing‐Tianjin‐Hebei region, China," Growth and Change, Wiley Blackwell, vol. 53(1), pages 91-111, March.
    4. Xinhai Lu & Mengcheng Wang & Yifeng Tang, 2021. "The Spatial Changes of Transportation Infrastructure and Its Threshold Effects on Urban Land Use Efficiency: Evidence from China," Land, MDPI, vol. 10(4), pages 1-15, March.
    5. Sara Javed & Md. Salamun Rashidin & Mingxia Zhu & Zhexiao Xu & Wang Jian & Siming Zuo, 2021. "Combined Effects of Drivers and Impact of Customer Satisfaction on Brand Loyalty: The Contingent Effect of Social Trust," SAGE Open, , vol. 11(1), pages 21582440211, March.
    6. Adjeng Mariana Febrianti & Ruth Margaret Violenta Sihombing & Salsabila Jannatain Catur Soetjipto, 2022. "Determinant of customer satisfaction and loyalty in using online shopping applications," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 11(2), pages 119-126, March.
    7. Amandeep Dhir & Shalini Talwar & Mohd Sadiq & Mototaka Sakashita & Puneet Kaur, 2021. "Green apparel buying behaviour: A Stimulus–Organism–Behaviour–Consequence (SOBC) perspective on sustainability‐oriented consumption in Japan," Business Strategy and the Environment, Wiley Blackwell, vol. 30(8), pages 3589-3605, December.
    8. Urszula Myga-Piątek & Anna Żemła-Siesicka & Katarzyna Pukowiec-Kurda & Michał Sobala & Jerzy Nita, 2021. "Is There Urban Landscape in Metropolitan Areas? An Unobvious Answer Based on Corine Land Cover Analyses," Land, MDPI, vol. 10(1), pages 1-20, January.
    9. Seohee Park & Seongeun Kim & Ji Hoon Ryoo, 2020. "Latent Class Regression Utilizing Fuzzy Clusterwise Generalized Structured Component Analysis," Mathematics, MDPI, vol. 8(11), pages 1-16, November.
    10. Wang, Zheng & Wang, Lun & Ji, Ying & Zuo, Lulu & Qu, Shaojian, 2022. "A novel data-driven weighted sentiment analysis based on information entropy for perceived satisfaction," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    11. He Sun & Xueming Li & Yingying Guan & Shenzhen Tian & He Liu, 2021. "The Evolution of the Urban Residential Space Structure and Driving Forces in the Megacity—A Case Study of Shenyang City," Land, MDPI, vol. 10(10), pages 1-19, October.
    12. Yanyan Wu & Jiadong Yuan, 2022. "Is There a Regulation in the Expansion of Urban Spatial Structure? Empirical Study from the Main Urban Area in Zhengzhou, China," Sustainability, MDPI, vol. 14(5), pages 1-17, March.
    13. Hugo Padrón-Ávila & Raúl Hernández-Martín, 2019. "Preventing Overtourism by Identifying the Determinants of Tourists’ Choice of Attractions," Sustainability, MDPI, vol. 11(19), pages 1-17, September.
    14. Sheng Zhang & Shimin Xu & Da Wan & Hui Liu & Lin Zhao & Lian Guo & Juan Ren, 2023. "Equalization Measurement and Optimization of the Public Cultural Facilities Distribution in Tianjin Central Area," Sustainability, MDPI, vol. 15(6), pages 1-22, March.
    15. Jun Zhang & Xiaodie Yuan, 2021. "COVID-19 Risk Assessment: Contributing to Maintaining Urban Public Health Security and Achieving Sustainable Urban Development," Sustainability, MDPI, vol. 13(8), pages 1-23, April.
    16. Yong, Shih Ween & Cheah, Jun-Hwa & Lim, Xin-Jean & Ng, Siew Imm & Leong, Yee Choy, 2023. "How to make you spend more in the airport? An investigation towards ECSI model on willingness to spend more in airport," Journal of Air Transport Management, Elsevier, vol. 112(C).
    17. Liu, Chih-Hsing & Gan, Bernard & Ko, Wen-Hwa & Teng, Chih-Ching, 2022. "Comparison of localized and foreign restaurant brands for consumer behavior prediction," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    18. Shi, Kunbo & Shao, Rui & De Vos, Jonas & Cheng, Long & Witlox, Frank, 2021. "Is e-shopping likely to reduce shopping trips for car owners? A propensity score matching analysis," Journal of Transport Geography, Elsevier, vol. 95(C).
    19. Dubey, Prince & Bajpai, Naval & Guha, Sanjay & Kulshreshtha, Kushagra, 2020. "Mapping gender and marital roles on customer delight by value perception for mobile technology in India," Technology in Society, Elsevier, vol. 62(C).
    20. Wenwen Sun & Daisuke Murakami & Xin Hu & Zhuoran Li & Akari Nakai Kidd & Chunlu Liu, 2023. "Supply–Demand Imbalance in School Land: An Eigenvector Spatial Filtering Approach," Sustainability, MDPI, vol. 15(17), pages 1-14, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:endesu:v:24:y:2022:i:7:d:10.1007_s10668-021-01832-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.