دانلود مقاله انگلیسی رایگان:تأثیرات مکانی متغیر از عوامل محیطی ساخته شده بر رکود حمل و نقل ریلی در سطح ایستگاه: یک مطالعه موردی در گوانگژو ، چین - 2020
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  • Spatially varying impacts of built environment factors on rail transit ridership at station level: A case study in Guangzhou, China Spatially varying impacts of built environment factors on rail transit ridership at station level: A case study in Guangzhou, China
    Spatially varying impacts of built environment factors on rail transit ridership at station level: A case study in Guangzhou, China

    سال انتشار:

    2020


    عنوان انگلیسی مقاله:

    Spatially varying impacts of built environment factors on rail transit ridership at station level: A case study in Guangzhou, China


    ترجمه فارسی عنوان مقاله:

    تأثیرات مکانی متغیر از عوامل محیطی ساخته شده بر رکود حمل و نقل ریلی در سطح ایستگاه: یک مطالعه موردی در گوانگژو ، چین


    منبع:

    Sciencedirect - Elsevier - Journal of Transport Geography, 82 (2020) 102631: doi:10:1016/j:jtrangeo:2019:102631


    نویسنده:

    Shaoying Lia, Dijiang Lyub, Guanping Huanga, Xiaohu Zhangc,⁎, Feng Gaoa, Yuting Chena, Xiaoping Liud


    چکیده انگلیسی:

    Understanding the relationship between the rail transit ridership and the built environment is crucial to promoting transit-oriented development and sustainable urban growth. Geographically weighted regression (GWR) models have previously been employed to reveal the spatial differences in such relationships at the station level. However, few studies characterized the built environment at a fine scale and associated them with rail transit usage. Moreover, none of the existing studies attempted to categorize the stations for policy-making considering varying impacts of the built environment. In this study, taking Guangzhou as an example, we integrated multisource spatial big data, such as high spatial resolution remote sensing images, points of interest (POIs), social media and building footprint data to precisely quantify the characteristics of the built environment. This was combined with a GWR model to understand how the impacts of the fine-scale built environment factors on the rail transit ridership vary across the study region. The k-means clustering method was employed to identify distinct station groups based on the coefficients of the GWR model at the local stations. Policy zoning was proposed based on the results and differentiated planning guidance was suggested for different zones. These recommendations are expected to help increase rail transit usage, inform rail transit planning (to relieve the traffic burden on currently crowed lines), and re-allocate industrial and living facilities to reduce the commute for the residents. The policy and planning implications are crucial for the coordinated development of the rail transit system and land use.
    Keywords: Transit ridership | Built environment | Geographically weighted regression | K-means | Guangzhou


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 14
    حجم فایل: 3615 کیلوبایت

    قیمت: رایگان


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