日常高频步行街道筛选机制及其 品质匹配度研究 ——以深圳市为例.

郭 馨; 章逸萱; 易生奥; 涂 伟; 杨光林

Streets play a crucial role as important public spaces in urban areas, and there has been a growing focus on their improvements in recent years. However, allocating resources to uniformly improve all streets may not be the most efficient approach due to their large numbers. Therefore, it is essential to identify frequently used pedestrian streets and assess their qualities from a pedestrian's perspective. This will help to bridge the gap between street quality research and urban renewal practices, ensuring that resources are allocated effectively. 　　The current street classification mechanisms predominantly prioritize motor vehicle attributes, while research on street quality tends to focus more on objective environmental facilities, often neglecting the analysis of pedestrian street usage patterns. This study rethinks the effectiveness of the existing top-down static road classification system and suggests a alternative dynamic and bottom-up selection mechanism for frequently used streets. This mechanism takes into account various factors including urban crowd mobility patterns, spatial patterns, and traffic flow dimensions. To address this issue, the study has developed the People- Environment-Program (PEP) street-matching evaluation index system, which integrates street usage patterns and street quality evaluation. By utilizing multi-source big data and conducting PEP quantitative measurements, the proposed mechanism was applied to evaluate approximately 170,000 streets in a case study conducted in Shenzhen. The research findings reveal a significant disparity between the quality and usage patterns of streets in Shenzhen. Specifically, the study observed that only 1.53% of frequently used streets have appropriate environmental conditions and programs, while over 60% of frequently used streets lack adequate conditions in terms of both environmental factors and programs. Frequently used streets hold significant influence over individuals' everyday experiences, highlighting the need for attention from both urban scholars and policymakers.

SHENZHEN (Guangdong Sheng, China : East); PUBLIC spaces; URBAN research; CITIES & towns; TRAFFIC flow; URBAN renewal; STREETS

South Architecture / Nanfang Jianzhu, 2023, Issue 7, p55

1000-0232

Academic Journal

10.3969/j.issn.1000-0232.2023.07.007