Analysis and Optimization Strategies of Pedestrian Environment around TOD Rail Transit Stations in Guangzhou
DOI:
https://doi.org/10.56225/gjeset.v1i2.25Keywords:
Transit-Oriented Development (TOD), Rail transit station, Pedestrian environment, Optimization Strategies, GuangzhouAbstract
This study extensively examines the urban dynamics of Guangzhou, a city that has notably embraced and incorporated the concept of Transit-Oriented Development (TOD) into its urban structure. Through a comprehensive and meticulously designed questionnaire survey, the research aims to understand different demographic groups' diverse preferences and needs. The main focus is comprehending individuals' views and experiences regarding the pedestrian environment near Transit-Oriented Development (TOD) stations. The study findings reveal a wide range of outcomes, indicating significant variations in walking distance tolerance and environmental satisfaction among different populations. Notably, walking distance emerged as a crucial factor, as a positive correlation was found between shorter perceived distances and higher levels of enjoyment. Evaluating pedestrian amenities reveals their insufficiency and emphasizes the need for improved pedestrian comfort and infrastructure. Various factors influence individuals' satisfaction with the walking environment. The assessment of pedestrian infrastructure in Guangzhou's Transit-Oriented Development (TOD) areas generally shows positive feedback, but there is still room for improvement. This study analyzes the current shortcomings in pedestrian infrastructure and proposes practical recommendations for enhancement. Its purpose is to provide a basis for policy formulation and future renovations to enhance pedestrian mobility near TOD train stations in Guangzhou.
References
Adriana, M. C. (2022). Potensi Pengembangan TOD di Kota Medan: Studi Kasus di Stasiun Medan. TATALOKA, 24(1), 35–44. https://doi.org/10.14710/tataloka.24.1.35-44
Akbar, I. S. (2021). Area Development Plan TOD/Transit Oriented Development at LRT Cibubur Station. Astonjadro, 10(1), 62–70. https://doi.org/10.32832/astonjadro.v10i1.3533
Arsyad, M. A., & Handayeni, K. D. M. E. (2019). Analisa Kesesuaian Kawasan Transit Blok M, Jakarta Terhadap Kriteria Konsep TOD (Transit Oriented Development). Planners Insight : Urban And Regional Planning Journal, 1(1), 1–7. https://doi.org/10.36870/insight.v1i1.8
Chae, J. S., Choi, C. H., Oh, J. H., Chae, Y. T., Jeong, J.-W., & Lee, D. (2021). Urban Public Service Analysis by GIS-MCDA for Sustainable Redevelopment: A Case Study of a Megacity in Korea. Sustainability, 13(3), 1–19. https://doi.org/10.3390/su13031472
Irsal, R. M., Hasibuan, H. S., & Azwar, S. A. (2022). Spatial Modeling for Residential Optimization in Dukuh Atas Transit-Oriented Development (TOD) Area, Jakarta, Indonesia. Sustainability, 15(1), 5–30. https://doi.org/10.3390/su15010530
Jiao, J., Rollo, J., Fu, B., & Liu, C. (2021). Exploring Effective Built Environment Factors for Evaluating Pedestrian Volume in High-Density Areas: A New Finding for the Central Business District in Melbourne, Australia. Land, 10(6), 6–55. https://doi.org/10.3390/land10060655
Li, F. (2005). Multilevel modelling of built environment characteristics related to neighbourhood walking activity in older adults. Journal of Epidemiology & Community Health, 59(7), 558–564. https://doi.org/10.1136/jech.2004.028399
Nusyawal, M. F., & Purwantiasning, A. W. (2020). Kajian Konsep Linkage pada Kawasan TOD (Transit Oriented Development) West Kowloon, Hong Kong. Nature: National Academic Journal of Architecture, 7(1), 125–142. https://doi.org/10.24252/nature.v7i1a10
Papagiannakis, A., Vitopoulou, A., & Yiannakou, A. (2021). Transit-oriented development in the southern European city of Thessaloniki introducing urban railway: typology and implementation issues. European Planning Studies, 29(1), 117–141. https://doi.org/10.1080/09654313.2020.1724267
Qiang, D., Zhang, L., & Huang, X. (2022). Quantitative Evaluation of TOD Performance Based on Multi-Source Data: A Case Study of Shanghai. Frontiers in Public Health, 10(2), 1–22. https://doi.org/10.3389/fpubh.2022.820694
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), 48–97. https://doi.org/10.3390/su15064897
Raya, A. B., Hasibuan, H. S., & Sodri, A. (2022). Thermal Comfort-Based Spatial Planning Model in Jakarta Transit-Oriented Development (TOD). Atmosphere, 13(4), 1–17. https://doi.org/10.3390/atmos13040565
Redzuan, N., Abdul Latip, N. S., Ismail, N., & Ujang, N. (2022). Identifying Urban Design Principles and Its Attributes for Waterfront Transit-Oriented Development (WTOD). Planning Malaysia, 20(2), 134–145. https://doi.org/10.21837/pm.v20i21.1098
Shi, D., & Fu, M. (2022). How Does Rail Transit Affect the Spatial Differentiation of Urban Residential Prices? A Case Study of Beijing Subway. Land, 11(10), 17–29. https://doi.org/10.3390/land11101729
Steinmetz-Wood, M., Velauthapillai, K., O’Brien, G., & Ross, N. A. (2019). Assessing the micro-scale environment using Google Street View: the Virtual Systematic Tool for Evaluating Pedestrian Streetscapes (Virtual-STEPS). BMC Public Health, 19(1), 1246. https://doi.org/10.1186/s12889-019-7460-3
Xia, T., Song, X., Song, X., Lu, M., Huang, S., Shibasaki, R., & Kim, K.-S. (2019). From walkability to bikeability: A GIS based analysis of integrating bike sharing service in Tokyo TOD system. Abstracts of the ICA, 1(409), 1–2. https://doi.org/10.5194/ica-abs-1-409-2019
Yu, B., Cui, X., Li, H., Luo, P., Liu, R., & Yang, T. (2022). TOD and vibrancy: The spatio-temporal impacts of the built environment on vibrancy. Frontiers in Environmental Science, 10(1), 1–17. https://doi.org/10.3389/fenvs.2022.1009094
Zemp, M., Huss, M., Thibert, E., Eckert, N., McNabb, R., Huber, J., Barandun, M., Machguth, H., Nussbaumer, S. U., Gärtner-Roer, I., Thomson, L., Paul, F., Maussion, F., Kutuzov, S., & Cogley, J. G. (2019). Global glacier mass changes and their contributions to sea-level rise from 1961 to 2016. Nature, 568(7752), 382–386. https://doi.org/10.1038/s41586-019-1071-0
Zhang, Y., Zou, Y., Zhu, Z., Guo, X., & Feng, X. (2022). Evaluating Pedestrian Environment Using DeepLab Models Based on Street Walkability in Small and Medium-Sized Cities: Case Study in Gaoping, China. Sustainability, 14(22), 15–472. https://doi.org/10.3390/su142215472
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Authors
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright @2023 by authors. Published by Scientia Global Academia (SGA) Services. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) which permits unrestricted to copy and redistribute the material in any medium or format, remix, transform, and build upon the material for any purpose, even commercially.
This work is licensed under a Creative Commons Attribution 4.0 International License.
