Simulation study of non-traveling pedestrian traffic in high-speed railway station areas: A case study of the Yangtze River Delta

Abstract

Non-Traveling Pedestrian Traffic (NTPT) plays a pivotal role in promoting business development and resident activities within High-Speed Railway Station Areas (HSRSA). However, extracting NTPT from the substantial human flow in HSRSA is technically challenging, leading to an insufficient previous discourse on the subject. In this study, we developed a simulation model for NTPT based on spatial and functional data, complemented by an evaluation framework incorporating indicators such as completeness, hierarchy, and centrality. The feasibility of this model is heightened by its reduced reliance on the collection and processing of massive pedestrian flow data. Using the Yangtze River Delta in China as a case study, the model simulation results show that limitations in NTPT development in the HSRSAs primarily stem from the lack of links between nodes and deficiencies in guiding and reinforcing these links, in addition to the fact that high-speed rail passengers exert a pronounced negative impact on NTPT. This study illustrates that NTPT is a consequence of the comprehensive interplay of spatial planning, functional development, and management policies in HSRSA. The analytical framework developed in this study contributes to elucidating the multifactorial mechanisms influencing NTPT.

Keywords

High-speed railway station area / Non-traveling pedestrian traffic / Pedestrian simulation / Pedestrian road / Yangtze River Delta

References

[1] Adolphson, M. , Fröidh, O. , 2019. Impact on urban form by the localization of railway stations:evidence from Sweden. Cities 95, 102362.

[2] Alimo, P.K. , Sarfo, I. , Yeboah, E. , Agen-Davis, L. , Wang, L. , Ma, W. , 2024. How about finding alternative livelihood sources to relocate in-lane street hawkers from the urban road network? Habitat Int. 143, 102986.

[3] Amaya, V. , Moulaert, T. , Gwiazdzinski, L. , Vuillerme, N. , 2022. Assessing and qualifying neighborhood walkability for older adults:construction and initial testing of a multivariate spatial accessibility model. Int. J. Environ. Res. Publ. Health 19 (3), 1808.

[4] Basu, N. , Oviedo-Trespalacios, O. , King, M. , Kamruzzaman, Md , Haque, MdM. , 2023. What do pedestrians consider when choosing a route? The role of safety, security, and attractiveness perceptions and the built environment during day and night walking. Cities 143, 104551.

[5] Batty, M. , Longley, P. , 1994. Fractal Cities-A Geometry of Form and Function. Academic Press Professional, Inc., San Diego, CA and London.

[6] Chen, W. , Wu, A.N. , Biljecki, F. , 2021. Classification of urban morphology with deep learning:application on urban vitality. Comput. Environ. Urban Syst. 90, 101706.

[7] Chen, Y. , Yin, G. , Hou, Y. , 2022. Street centrality and vitality of a healthy catering industry: a case study of Jinan, China. Front. Public Health 10.

[8] Eom, J.K. , Choi, J. , Park, M.S. , Heo, T.Y. , 2019. Exploring the catchment area of an urban railway station by using transit card data:case study in Seoul. Cities 95, 102364.

[9] Gallotti, R. , Bertagnolli, G. , De Domenico, M. , 2021. Unraveling the hidden organisation of urban systems and their mobility flows. EPJ Data Sci 10 (1), 3.

[10] Garcia-Gabilondo, S. , Shibuya, Y. , Sekimoto, Y. , 2024. Enhancing geospatial retail analysis by integrating synthetic human mobility simulations. Comput. Environ. Urban Syst. 108, 102058.

[11] Goel, R. , 2021. A new model to estimate pedestrian deaths from speed-related interventions. Traffic Inj. Prev. 22 (4), 330- 335.

[12] Guangming Online , 2023a. What kind of integration is Yangtze River Delta integration?.

[13] Guangming Online , 2023b. In: 2022, the National Railroad Completed Fixed Asset Investment of 710.9 Billion Yuan, Put into Production 4100 Kilometers of New Lines.

[14] Gui, W. , Zhang, X. , Wang, A. , 2021. Research on spatial planning evaluation of Beijing Shanghai high speed railway station based on node-place model. J. Intell. Fuzzy Syst. 40 (1), 733- 743.

[15] Gupta, M. , Bandyopadhyay, S. , 2020. Regulatory and road engineering interventions for preventing road traffic injuries and fatalities among vulnerable road users in low- and middle-income countries: a systematic review. Front. Sustain. Cities 2.

[16] Habibian, M. , Hosseinzadeh, A. , 2018. Walkability index across trip purposes. Sustain. Cities Soc. 42, 216- 225.

[17] Hackl, J. , Adey, B.T. , 2019. Estimation of traffic flow changes using networks in networks approaches. Appl. Netw. Sci. 4 (1), 28.

[18] Hahm, Y. , Yoon, H. , Jung, D. , Kwon, H. , 2017. Do built environments affect pedestrians' choices of walking routes in retail districts? A study with GPS experiments in Hongdae retail district in Seoul, South Korea. Habitat Int. 70, 50- 60.

[19] Han, B. , Sun, D. , Yu, X. , Song, W. , Ding, L. , 2020. Classification of urban street networks based on tree-like network features. Sustainability 12 (2), 628.

[20] Hassannayebi, E. , Memarpour, M. , Mardani, S. , Shakibayifar, M. , Bakhshayeshi, I. , Espahbod, S. , 2020. A hybrid simulation model of passenger emergency evacuation under disruption scenarios:a case study of a large transfer railway station. J. Simulat. 14 (3), 204- 228.

[21] Hassanshahi, G. , Soltani, A. , Roosta, M. , Askari, S. , 2023. Walking as soft mobility: a multi-criteria GIS-based approach for prioritizing tourist routes. Front. Archit. Res. 12 (6), 1080- 1096.

[22] He, Y. , Wu, X. , Wang, L. , 2023. Metropolitan spatial structure analysis based on the identification of commuting zones with Nanjing City as an example. Front. Archit. Res. 12 (2), 291- 307.

[23] Hou, X. , Zheng, L. , 2017. Simulation of pedestrian flow in traditional commercial streets based on space syntax. Procedia Eng. 205, 1344- 1349.

[24] Hu, X. , Shen, P. , Shi, Y. , Zhang, Z. , 2020. Using Wi-Fi probe and location data to analyze the human distribution characteristics of green spaces:a case study of the Yanfu Greenland Park, China. Urban For. Urban Green. 54, 126733.

[25] Im, H.N. , Choi, C.G. , 2019. The hidden side of the entropy-based land-use mix index:clarifying the relationship between pedestrian volume and land-use mix. Urban Stud. 56 (9), 1865- 1881.

[26] Jeffrey, D. , Boulangé, C. , Giles-Corti, B. , Washington, S. , Gunn, L. , 2019. Using walkability measures to identify train stations with the potential to become transit oriented developments located in walkable neighbourhoods. J. Transport Geogr. 76, 221- 231.

[27] Jha, A. , Tiwari, G. , Mohan, D. , Mukherjee, S. , Banerjee, S. , 2017. Analysis of pedestrian movement on Delhi roads by using naturalistic observation techniques. Transport. Res. Rec. 2634 (1), 95- 100.

[28] Jiao, J. , Rollo, J. , Fu, B. , Liu, C. , 2021. Exploring effective built environment factors for evaluating pedestrian volume in highdensity areas:a new finding for the central business district in Melbourne, Australia. Land 10 (6), 655.

[29] Kanasugi, H. , Ushijima, K. , 2018. The impact of a high-speed railway on residential land prices. Pap. Reg. Sci. 97 (4), 1305- 1336.

[30] Kaziyeva, D. , Stutz, P. , Wallentin, G. , Loidl, M. , 2023. Large-scale agent-based simulation model of pedestrian traffic flows. Computers, Comput. Environ. Urban Syst. 105, 102021.

[31] Keyvanfar, A. , Ferwati, M.S. , Shafaghat, A. , Lamit, H. , 2018. A path walkability assessment index model for evaluating and facilitating retail walking using decision-tree-making (DTM) method. Sustainability 10 (4), 1035.

[32] Kim, H. , Sultana, S. , Weber, J. , 2018. A geographic assessment of the economic development impact of Korean high-speed rail stations. Transport Pol. 66, 127- 137.

[33] Kim, E.J. , Kim, J. , Kim, H. , 2020. Neighborhood walkability and active transportation:a correlation study in leisure and shopping purposes. Int. J. Environ. Res. Publ. Health 17 (7), 2178.

[34] Klamroth, K. , Lang, B. , Seyfried, A. , Stiglmayr, M. , 2020. Network simulation for pedestrian flows with HyDEFS. Coll. Dyn. 5, A24.

[35] Lang, W. , Chen, T. , Chan, E.H.W. , Yung, E.H.K. , Lee, T.C.F. , 2019. Understanding livable dense urban form for shaping the landscape of community facilities in Hong Kong using fine-scale measurements. Cities 84, 34- 45.

[36] Lang, W. , Hui, E.C.M. , Chen, T. , Li, X. , 2020. Understanding livable dense urban form for social activities in transit-oriented development through human-scale measurements. Habitat Int. 104, 102238.

[37] Liang, Y. , Song, W. , Dong, X. , 2021. Evaluating the space use of large railway hub station areas in Beijing toward integrated station-city development. Land 10 (11), 1267.

[38] Loo, B.P.Y. , Huang, Z. , 2023. Location matters:high-speed railway(HSR) stations in city evolution. Cities 139, 104380.

[39] López Baeza, J. , Carpio-Pinedo, J. , Sievert, J. , Landwehr, A. , Preuner, P. , Borgmann, K. , Noennig, J.R. , 2021. Modeling pedestrian flows:agent-based simulations of pedestrian activity for land use distributions in urban developments. Sustainability 13 (16), 9268.

[40] Lotfata, A. , Gemci, A.G. , Ferah, B. , 2022. The changing context of walking behavior: coping with the COVID-19 Pandemic in urban neighborhoods. Archnet-IJAR: Archnet-IJAR 16 (3), 495- 516.

[41] Luan, X. , Cheng, L. , Song, Y. , Zhao, J. , 2020. Better understanding the choice of travel mode by urban residents: new insights from the catchment areas of rail transit stations. Sustain. Cities Soc. 53, 101968.

[42] Ma, C. , Cheng, Y. , Zhang, S. , Chen, K. , Wei, J. , Hu, X. , 2023. Catchment-area delineation approach considering travel purposes for station-level ridership prediction task. Transport. Res. Rec. 2678 (5), 397- 415.

[43] Marshall, S. , Gil, J. , Kropf, K. , Tomko, M. , Figueiredo, L. , 2018. Street network studies: from networks to models and their representations. Network. Spatial Econ. 18 (3), 735- 749.

[44] Martin, C. , 2023. Urban mobility infrastructures as public spaces: the uses of Sé subway station in downtown São Paulo. Urban Stud. 60 (15), 3110- 3125.

[45] Modak, S. , Sanyal, S. , 2024. Road network structure of Varanasi city based on connectivity and spatial pattern. Geojournal 89 (1), 25.

[46] Moyano, A. , Coronado, J.M. , Ruiz, R. , Romero, V. , 2019. Station avenue: high-speed rail's missing link. Assessing pedestrian citystation routes for edge stations in Spanish small cities. J. Hous. Built Environ. 34 (1), 175- 193.

[47] Moyano, A. , Solís, E. , Díaz-Burgos, E. , Rodrigo, A. , Coronado, J.M. , 2023. Typologies of stations' catchment areas in metropolitan urban peripheries:from car-oriented to sustainable urban strategies. Land Use Pol. 134, 106903.

[48] Niu, Y. , Mi, X. , Wang, Z. , 2021. Vitality evaluation of the waterfront space in the ancient city of Suzhou. Front. Archit. Res. 10 (4), 729- 740.

[49] Ozuduru, B.H. , Webster, C.J. , Chiaradia, A.J.F. , Yucesoy, E. , 2021. Associating street-network centrality with spontaneous and planned subcentres. Urban Stud. 58 (10), 2059- 2078.

[50] Pol, P. , 2002. A renaissance of stations, railways and cities: economic effects, development strategies and organisational issues of European high-speed-train stations. Delft: DUP Science (Delft, Netherlands).

[51] Porta, S. , Strano, E. , Iacoviello, V. , Messora, R. , Latora, V. , Cardillo, A. , Wang, F. , Scellato, S. , 2009. Street centrality and densities of retail and services in bologna, Italy. Environ. Plann. Plann. Des. 36 (3), 450- 465.

[52] Qin, Y. , Zhang, Y. , Yao, M. , Chen, Q. , 2023. How to measure the impact of walking accessibility of suburban rail station catchment areas on the commercial premium benefits of joint development. Sustainability 15 (6), 4897.

[53] Rao, F. , 2019. Resilient forms of shopping centers amid the rise of online retailing:towards the urban experience. Sustainability 11 (15), 3999.

[54] Rao, F. , Pafka, E. , 2021. Shopping morphologies of urban transit station areas:a comparative study of central city station catchments in Toronto, San Francisco, and Melbourne. J. Transport Geogr. 96, 103156.

[55] Said, M. , Geha, G. , Abou-Zeid, M. , 2020. Natural experiment to assess the impacts of street-level urban design interventions on walkability and business activity. Transport. Res. Rec. 2674 (7), 258- 271.

[56] Salingaros, N.A. , van Bilsen, A. , 2005. Principles of Urban Structure. Technepress.

[57] Shang, W.L. , Chen, Y. , Bi, H. , Zhang, H. , Ma, C. , Ochieng, W.Y. , 2020. Statistical characteristics and community analysis of urban road networks. Complexity 2020, e6025821.

[58] Sharif, A.A. , 2023. A relational perspective on the walking activity in urban spaces:shaping, transformation, and interrelations. Front. Archit. Res. 12 (3), 496- 508.

[59] Sun, Y. , Lu, W. , Gu, Z. , 2023. Analysis of spatial form and structure of commercial pedestrian blocks based on Isovist and big data. Env. Plan. B-Urban Anal. City Sci. 50 (5), 1313- 1327.

[60] Tao, S. , Xie, X. , 2020. Evaluation of transfer system of high-speed railway station based on the integration of station city. ICTE 632-642, 2019.

[61] Vural, A.T. , Durak, S. , Dizdar, G.F. , Balcik, B. , 2018. Assessment of factors influencing walkability in shopping streets of tourism cities:case of Bursa, Turkey. Int. J. Tour. Cities 4 (3), 330- 341.

[62] Wang, L. , Zheng, W. , He, S. , Wei, S. , 2022. Assessing urban vitality and its determinants in high-speed rail station areas in the Yangtze River Delta. China. J. Transp. Land Use 15 (1), 333- 354.

[63] Xu, Y. , Chen, X. , 2022. The spatial vitality and spatial environments of urban underground space (UUS) in metro area based on the spatiotemporal analysis. Tunn. Undergr. Space Technol. 123, 104401.

[64] Yamada, T. , Utaka, M. , 2023. Evaluating ticket gate directional restrictions using simulations of pedestrian flow considering stationary people in a railroad station concourse. J. Asian Architect. Build Eng. 22 (4), 2058- 2073.

[65] Yang, J.Y. , Shi, Y. , Zheng, Y. , Zhang, Z.H. , 2023. The spatiotemporal prediction method of urban population density distribution through behaviour environment interaction agent model. Sci. Rep. 13 (1), 5821.

[66] Yıldırım, Ö.C. , Çelik, E. , 2023. Understanding pedestrian behavior and spatial relations: a pedestrianized area in Besiktas, Istanbul. Front. Archit. Res. 12 (1), 67- 84.

[67] Zacharias, J. , Zhang, T. , Nakajima, N. , 2011. Tokyo Station City: the railway station as urban place. Urban Des. Int. 16 (4), 242- 251.

[68] Zdimalova, M. , 2017. Mathematics and its application in architecture and urban design of selected parts of Mexico. 16th Conference on Applied Mathematics, APLIMAT 2017, 1728- 1745.

[69] Zhuang, X. , Zhao, S. , 2014. Effects of land and building usage on population, land price and passengers in station areas: a case study in Fukuoka, Japan. Front. Archit. Res. 3 (2), 199- 212.

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