A Walkability Assessment Method for Urban Streets Based on Multi-source Urban Data and Deep Learning: A Case Study of the Central Urban Area of Beijing

LIN Ruijun, LIANG Bingyun, FU Jun

Landscape Architecture ›› 2026, Vol. 33 ›› Issue (2) : 105-114.

PDF(14302 KB)
PDF(14302 KB)
Landscape Architecture ›› 2026, Vol. 33 ›› Issue (2) : 105-114. DOI: 10.3724/j.fjyl.LA20250418

A Walkability Assessment Method for Urban Streets Based on Multi-source Urban Data and Deep Learning: A Case Study of the Central Urban Area of Beijing

    {{javascript:window.custom_author_en_index=0;}}
  • {{article.zuoZhe_EN}}
Author information +
History +

HeighLight

{{article.keyPoints_en}}

Abstract

{{article.zhaiyao_en}}

Key words

QR code of this article

Cite this article

Download Citations
{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2026, 33(2): 105-114 https://doi.org/10.3724/j.fjyl.LA20250418

References

References

{{article.reference}}

Funding

RIGHTS & PERMISSIONS

{{article.copyrightStatement_en}}
{{article.copyrightLicense_en}}
PDF(14302 KB)

Accesses

Citation

Detail

Sections
Recommended

/