Yöntem Karşılaştırma
Seçtiğiniz yöntemleri yan yana inceleyin; farklı satırlar vurgulanır.
| Desire Line Analysis× | Mekansal Etkileşim (Kütleçekim) Modelleri× | |
|---|---|---|
| Alan≠ | Human Geography | Mekânsal analiz |
| Aile≠ | Process / pipeline | Regression model |
| Köken yılı≠ | 1955 | 1971 |
| Köken≠ | Transportation planning tradition (urban transportation studies) | Alan Wilson (entropy-maximizing family) |
| Tür≠ | Mapping and analysis of origin–destination travel demand as straight flow lines | Model of flows between spatial origins and destinations |
| Seminal kaynak≠ | Boyce, D. E., & Williams, H. C. W. L. (2015). Forecasting Urban Travel: Past, Present and Future. Edward Elgar, Cheltenham. ISBN: 9781848440319 | Wilson, A. G. (1971). A family of spatial interaction models, and associated developments. Environment and Planning A, 3(1), 1–32. DOI ↗ |
| Diğer adlar | Desire Line Mapping, OD Flow Line Analysis, Travel Desire Lines, Desire Path Flow Analysis | gravity model, spatial interaction model, competing destinations model, mekânsal etkileşim modeli |
| İlişkili | 4 | 4 |
| Özet≠ | Desire line analysis reveals the underlying demand for travel between places by drawing straight lines that connect each origin to each destination, with line width or weight proportional to the volume of flow between them. The term comes from transportation planning, where a 'desire line' represents the direct, idealized path a traveller would take if no network constrained them — capturing where people want to go, not how the roads make them go. Aggregating trips into an origin–destination matrix and rendering it as weighted lines exposes the dominant corridors of movement, making desire lines a foundational tool for visualizing and analysing travel demand. | Spatial interaction models predict the volume of flows — migrants, commuters, shoppers, trade, trips — between origins and destinations as a function of the size of each place and the distance or cost separating them. By analogy to Newton's gravity, interaction rises with the 'mass' of origin and destination and falls with separation, and Wilson's 1971 entropy-maximizing family put these models on a rigorous footing for transport, migration, and retail analysis. |
| ScholarGateVeri seti ↗ |
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