ScholarGate
المساعد

قارن الطرق

راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.

Walkability Index×Street Network Analysis×
المجالUrban StudiesUrban Studies
العائلةProcess / pipelineProcess / pipeline
سنة النشأة20102017
صاحب الطريقةLawrence Frank and colleaguesGeoff Boeing (OSMnx); graph-theoretic street analysis tradition
النوعComposite neighbourhood index of how supportive the built environment is of walkingGraph-theoretic measurement of street-network structure and connectivity
المصدر التأسيسيFrank, L. D., Sallis, J. F., Saelens, B. E., Leary, L., Cain, K., Conway, T. L., & Hess, P. M. (2010). The development of a walkability index: Application to the Neighborhood Quality of Life Study. British Journal of Sports Medicine, 44(13), 924–933. DOI ↗Boeing, G. (2017). OSMnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networks. Computers, Environment and Urban Systems, 65, 126–139. DOI ↗
الأسماء البديلةFrank Walkability Index, Walk Score, Neighborhood Walkability Index, Pedestrian Environment IndexStreet Pattern Analysis, Road Network Metrics, Urban Street Connectivity Analysis, Configurational Street Analysis
ذات صلة44
الملخصA walkability index measures how well a neighbourhood's built environment supports walking, by combining a small set of land-use and street-design variables into a single score. The influential index developed by Lawrence Frank and colleagues sums standardized measures of residential density, land-use mix, street connectivity, and retail floor-area ratio, giving extra weight to intersection density because connected street grids most strongly enable walking. Consumer tools such as Walk Score popularized the same idea by scoring an address on the proximity and variety of nearby destinations, making walkability a routine input to planning, public health, and real-estate analysis.Street network analysis treats a city's streets as a mathematical graph — intersections as nodes, street segments as edges — and measures its structure with graph-theoretic indicators of connectivity, density, centrality, and efficiency. From this representation come the metrics that distinguish a permeable grid from a tree-like cul-de-sac suburb: intersection density, average node degree, the share of dead-ends, betweenness centrality, and circuity (how much longer network routes are than straight lines). Tools such as Geoff Boeing's OSMnx made it routine to download, model, and analyse the street network of any place on Earth from OpenStreetMap, turning street-pattern analysis into a reproducible, comparative science of urban form.
ScholarGateمجموعة البيانات
  1. v1
  2. 1 المصادر
  3. PUBLISHED
  1. v1
  2. 1 المصادر
  3. PUBLISHED

انتقل إلى البحث تنزيل الشرائح

ScholarGateقارن الطرق: Walkability Index · Street Network Analysis. استُرجع بتاريخ 2026-06-24 من https://scholargate.app/ar/compare