IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i6p1539-d1103977.html
   My bibliography  Save this article

Station Layout Optimization and Route Selection of Urban Rail Transit Planning: A Case Study of Shanghai Pudong International Airport

Author

Listed:
  • Pei Yin

    (Department of Civil Engineering, School of Mechanics and Engineering Science, Shanghai University, Shanghai 200444, China)

  • Miaojuan Peng

    (Department of Civil Engineering, School of Mechanics and Engineering Science, Shanghai University, Shanghai 200444, China)

Abstract

In this paper, a cost-oriented optimization model of station spacing is presented to analyze the influencing factors of station spacing and layout near Shanghai Pudong International Airport. The Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN) algorithm is used to cluster and analyze the high population density, and optimize the station layout in the southwest of Pudong International Airport. A spatial analysis of the land use and geological conditions in Pudong New Area is given. Combining the optimal station spacing, ideal location and spatial analysis, five routing schemes to Pudong International Airport are proposed. The DBSCAN and K-means algorithms are used to analyze the “PDIA-SL” dataset. The results show that the space complexity of the HDBSCAN is O (825), and the silhouette coefficient is 0.6043, which has obvious advantages over the results of DBSCAN and K-means. This paper combines urban rail transit planning with the HDBSCAN algorithm to present some suggestions and specific route plans for local governments to scientifically plan rail transit lines. Meanwhile, the research method of station layout, which integrates station spacing, ideal location and spatial analysis optimization, is pioneering and can provide a reference for developing rail transit in metropolises.

Suggested Citation

  • Pei Yin & Miaojuan Peng, 2023. "Station Layout Optimization and Route Selection of Urban Rail Transit Planning: A Case Study of Shanghai Pudong International Airport," Mathematics, MDPI, vol. 11(6), pages 1-29, March.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:6:p:1539-:d:1103977
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/6/1539/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/11/6/1539/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liudan Jiao & Liyin Shen & Chenyang Shuai & Yongtao Tan & Bei He, 2017. "Measuring Crowdedness between Adjacent Stations in an Urban Metro System: a Chinese Case Study," Sustainability, MDPI, vol. 9(12), pages 1-14, December.
    2. Cheng, Jing, 2021. "Analysis of commercial land leasing of the district governments of Beijing in China," Land Use Policy, Elsevier, vol. 100(C).
    3. Jing Cheng & Xiaowei Luo, 2022. "Analyzing the Land Leasing Behavior of the Government of Beijing, China, via the Multinomial Logit Model," Land, MDPI, vol. 11(3), pages 1-14, March.
    4. Jing Cheng, 2020. "Data Analysis of the Factors Influencing the Industrial Land Leasing in Shanghai Based on Mathematical Models," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-11, April.
    5. Yanshuo Sun & Jungang Shi & Paul M. Schonfeld, 2016. "Identifying passenger flow characteristics and evaluating travel time reliability by visualizing AFC data: a case study of Shanghai Metro," Public Transport, Springer, vol. 8(3), pages 341-363, December.
    6. Chang, Yu-Chun, 2013. "Factors affecting airport access mode choice for elderly air passengers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 57(C), pages 105-112.
    7. Arbex, Renato Oliveira & da Cunha, Claudio Barbieri, 2015. "Efficient transit network design and frequencies setting multi-objective optimization by alternating objective genetic algorithm," Transportation Research Part B: Methodological, Elsevier, vol. 81(P2), pages 355-376.
    8. Jing Cheng, 2021. "Mathematical Models and Data Analysis of Residential Land Leasing Behavior of District Governments of Beijing in China," Mathematics, MDPI, vol. 9(18), pages 1-14, September.
    9. Carmen Zornoza-Gallego, 2022. "Means of Transport and Population Distribution in Metropolitan Areas: An Evolutionary Analysis of the Valencia Metropolitan Area," Land, MDPI, vol. 11(5), pages 1-18, April.
    10. Muhammad Aqib & Rashid Mehmood & Ahmed Alzahrani & Iyad Katib & Aiiad Albeshri & Saleh M. Altowaijri, 2019. "Rapid Transit Systems: Smarter Urban Planning Using Big Data, In-Memory Computing, Deep Learning, and GPUs," Sustainability, MDPI, vol. 11(10), pages 1-33, May.
    11. Crispin H. V. Cooper & Ian Harvey & Scott Orford & Alain J. F. Chiaradia, 2021. "Using multiple hybrid spatial design network analysis to predict longitudinal effect of a major city centre redevelopment on pedestrian flows," Transportation, Springer, vol. 48(2), pages 643-672, April.
    12. Zheng, Siqi & Kahn, Matthew E., 2008. "Land and residential property markets in a booming economy: New evidence from Beijing," Journal of Urban Economics, Elsevier, vol. 63(2), pages 743-757, March.
    13. Pei Yin & Jing Cheng & Miaojuan Peng, 2022. "Analyzing the Passenger Flow of Urban Rail Transit Stations by Using Entropy Weight-Grey Correlation Model: A Case Study of Shanghai in China," Mathematics, MDPI, vol. 10(19), pages 1-23, September.
    14. Shuxia Guo & Lei Yu & Xumei Chen & Yu Zhang, 2011. "Modelling waiting time for passengers transferring from rail to buses," Transportation Planning and Technology, Taylor & Francis Journals, vol. 34(8), pages 795-809, July.
    15. Shushan Chai & Qinghuai Liang & Simin Zhong, 2019. "Design of Urban Rail Transit Network Constrained by Urban Road Network, Trips and Land-Use Characteristics," Sustainability, MDPI, vol. 11(21), pages 1-23, November.
    16. Cheng, Jing, 2020. "Analyzing the factors influencing the choice of the government on leasing different types of land uses: Evidence from Shanghai of China," Land Use Policy, Elsevier, vol. 90(C).
    17. Cheng, Jing, 2022. "Analysis of the factors influencing industrial land leasing in Beijing of China based on the district-level data," Land Use Policy, Elsevier, vol. 122(C).
    18. Anupriya, & Graham, Daniel J. & Carbo, Jose M. & Anderson, Richard J. & Bansal, Prateek, 2020. "Understanding the costs of urban rail transport operations," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 292-316.
    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. Cheng, Jing, 2022. "Analysis of the factors influencing industrial land leasing in Beijing of China based on the district-level data," Land Use Policy, Elsevier, vol. 122(C).
    2. Pei Yin & Jing Cheng & Miaojuan Peng, 2022. "Analyzing the Passenger Flow of Urban Rail Transit Stations by Using Entropy Weight-Grey Correlation Model: A Case Study of Shanghai in China," Mathematics, MDPI, vol. 10(19), pages 1-23, September.
    3. Linfang Shen & Kuoyu Liu & Jinfei Chai & Weibin Ma & Xiaoxiong Guo & Yao Li & Peng Zhao & Boying Liu, 2022. "Research on the Mathematical Model for Optimal Allocation of Human Resources in the Operation and Maintenance Units of a Heavy Haul Railway," Mathematics, MDPI, vol. 10(19), pages 1-18, October.
    4. Jing Cheng, 2021. "Mathematical Models and Data Analysis of Residential Land Leasing Behavior of District Governments of Beijing in China," Mathematics, MDPI, vol. 9(18), pages 1-14, September.
    5. Xiaoyan Du & Jinfei Chai, 2022. "Stability Evaluation of Medium Soft Soil Pile Slope Based on Limit Equilibrium Method and Finite Element Method," Mathematics, MDPI, vol. 10(19), pages 1-32, October.
    6. Jing Cheng & Xiaowei Luo, 2022. "Analyzing the Land Leasing Behavior of the Government of Beijing, China, via the Multinomial Logit Model," Land, MDPI, vol. 11(3), pages 1-14, March.
    7. Li Li & Jiahui Yu & Hang Cheng & Miaojuan Peng, 2021. "A Smart Helmet-Based PLS-BPNN Error Compensation Model for Infrared Body Temperature Measurement of Construction Workers during COVID-19," Mathematics, MDPI, vol. 9(21), pages 1-20, November.
    8. Jinfei Chai, 2021. "Research on Dynamic Response Characteristics for Basement Structure of Heavy Haul Railway Tunnel with Defects," Mathematics, MDPI, vol. 9(22), pages 1-23, November.
    9. Fengxin Sun & Jufeng Wang & Xiang Kong & Rongjun Cheng, 2021. "A Dimension Splitting Generalized Interpolating Element-Free Galerkin Method for the Singularly Perturbed Steady Convection–Diffusion–Reaction Problems," Mathematics, MDPI, vol. 9(19), pages 1-15, October.
    10. Cheng, Jing, 2021. "Analysis of commercial land leasing of the district governments of Beijing in China," Land Use Policy, Elsevier, vol. 100(C).
    11. Jufeng Wang & Fengxin Sun & Rongjun Cheng, 2021. "A Dimension Splitting-Interpolating Moving Least Squares (DS-IMLS) Method with Nonsingular Weight Functions," Mathematics, MDPI, vol. 9(19), pages 1-22, September.
    12. Heng Cheng & Zebin Xing & Yan Liu, 2023. "The Improved Element-Free Galerkin Method for 3D Steady Convection-Diffusion-Reaction Problems with Variable Coefficients," Mathematics, MDPI, vol. 11(3), pages 1-19, February.
    13. Huijun Tang & Jufeng Wang & Le Wang, 2023. "Mining Significant Utility Discriminative Patterns in Quantitative Databases," Mathematics, MDPI, vol. 11(4), pages 1-18, February.
    14. Zhijuan Meng & Xiaofei Chi & Lidong Ma, 2022. "A Hybrid Interpolating Meshless Method for 3D Advection–Diffusion Problems," Mathematics, MDPI, vol. 10(13), pages 1-21, June.
    15. Yumin Cheng, 2022. "Preface to the Special Issue on “Numerical Computation, Data Analysis and Software in Mathematics and Engineering”," Mathematics, MDPI, vol. 10(13), pages 1-5, June.
    16. Yan Chen & Qiang Du & Xiyang Yin & Renjie Fu & Yiyun Zhu, 2023. "Stress Analysis of the Radius and Ulna in Tennis at Different Flexion Angles of the Elbow," Mathematics, MDPI, vol. 11(16), pages 1-17, August.
    17. Yue Zhao & Xuelian Guo & Botong Su & Yamin Sun & Yiyun Zhu, 2023. "Multi-Lane Traffic Load Clustering Model for Long-Span Bridge Based on Parameter Correlation," Mathematics, MDPI, vol. 11(2), pages 1-19, January.
    18. Li, Shunxi & Su, Bowen & St-Pierre, David L. & Sui, Pang-Chieh & Zhang, Guofang & Xiao, Jinsheng, 2017. "Decision-making of compressed natural gas station siting for public transportation: Integration of multi-objective optimization, fuzzy evaluating, and radar charting," Energy, Elsevier, vol. 140(P1), pages 11-17.
    19. Paulsen, Mads & Rasmussen, Thomas Kjær & Nielsen, Otto Anker, 2021. "Impacts of real-time information levels in public transport: A large-scale case study using an adaptive passenger path choice model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 155-182.
    20. Wu, Guiying Laura & Feng, Qu & Li, Pei, 2015. "Does local governments’ budget deficit push up housing prices in China?," China Economic Review, Elsevier, vol. 35(C), pages 183-196.

    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:gam:jmathe:v:11:y:2023:i:6:p:1539-:d:1103977. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.