Spatial Entropy

Batty, Michael

doi:10.1111/j.1538-4632.1974.tb01014.x

Cited by 214 publications

(138 citation statements)

References 21 publications

(13 reference statements)

Supporting

Mentioning

128

Contrasting

Unclassified

Order By: Relevance

“…This index is used in landscape ecology as a measure of morphological diversity (Nagendra, 2002), and is sometimes called spatial entropy (Batty, 1974). The calculation was done for a square grid based on an area of 1 km², after which results were proportionally aggregated within the three described circular zones.…”

Section: Land Use Diversity (Div)mentioning

confidence: 99%

Linking expected mobility production to sustainable residential location planning: some evidence from Flanders

Boussauw

Witlox

2011

Journal of Transport Geography

View full text Add to dashboard Cite

Based on a set of spatial proximity characteristics this paper develops a model that estimates for every neighbourhood in Flanders (Belgium) the amount of traffic that would be generated by an additional residential unit when socioeconomic variables are held constant. The results show that residential density, land use diversity and proximity of facilities influence daily travelled distances when these variables are measured in the immediate vicinity of the residential location of the respondent (within a radius of 1 km). When aggregating these variables at a larger geographical scale, in most cases the impact proves no longer significant. Variables based on the spatial distribution of jobs, or on the global accessibility of the entire population in the study area, do not show any significant effects on the travel distance.Despite the statistical significance only a fraction of the observed variance in reported distances is explained by characteristics of spatial proximity. However, we can assume that the importance of spatial structure in the genesis of mobility patterns will increase in case the cost of transport would rise (cf. peak oil). For this reason, the application of the mapped results of the proposed model could contribute to the practice of sustainable spatial planning.

show abstract

Section: Land Use Diversity (Div)mentioning

confidence: 99%

Linking expected mobility production to sustainable residential location planning: some evidence from Flanders

Boussauw

Witlox

2011

Journal of Transport Geography

View full text Add to dashboard Cite

show abstract

“…For example, entropy calculations have been used to model the evolution of river channels [10], transportation and trip distributions (using maximum entropy methods) [11,12], to assess city heterogeneity [13,14], to quantify urban sprawls [15][16][17], and as a part of "spatial entropy" measures [18]. The entropy approach used in the present paper, however, is somewhat different from those above.…”

Section: Introductionmentioning

confidence: 95%

Entropy Measures of Street-Network Dispersion: Analysis of Coastal Cities in Brazil and Britain

Mohajeri

French

Guðmundsson

2013

Entropy

View full text Add to dashboard Cite

Geographical location and landforms of various types have strong effects on the developments of many cities and associated street networks. This study presents new results of landform effects, in particular the geometry of shorelines, on the grid street networks (a total of 10,442 streets) of three Brazilian coastal cities. The results are compared with the street networks of three coastal cities in Britain (a total of 22,002 streets) that have evolved through a more natural "bottom-up" process. Gibbs/Shannon entropy (a measure of dispersion) generally has a positive linear correlation with length ranges and the average lengths of the street, and for the power-law tails in particular. The geometry of the adjacent shorelines has great effect on the spatial orientation of streets in the Brazilian cities but less so for the networks of the British cities. More specifically, the more curved the shoreline, the greater is the dispersion in the street orientation and the greater the associated entropy. The results also show that the length-entropies of the outer parts of the Brazilian cities are generally lower than those of the inner parts, whereas the entropies of outer parts of the British cities are higher than those of the inner parts, indicating dispersion during streetnetwork growth in the British cities.

show abstract

“…The Shannon's urban entropy measures the degree of spatial concentration and dispersal of built-up land between different time periods [17], [18], [19], [20]. It is an index which determines the distribution of built up land as a function of the total area of built up land within a defined spatial unit [21].…”

Section: Literature Reviewmentioning

confidence: 99%

Analysing Urban Sprawl and Shifting of Urban Growth Centre of Bengaluru City, India Using Shannon’s Entropy Method

Verma¹,

Chatterjee²,

Mandal³

2017

JSSP

View full text Add to dashboard Cite

Spatial Entropy

Abstract: Abstract

Cited by 214 publications

References 21 publications

Linking expected mobility production to sustainable residential location planning: some evidence from Flanders

Linking expected mobility production to sustainable residential location planning: some evidence from Flanders

Entropy Measures of Street-Network Dispersion: Analysis of Coastal Cities in Brazil and Britain

Analysing Urban Sprawl and Shifting of Urban Growth Centre of Bengaluru City, India Using Shannon’s Entropy Method

Contact Info

Product

Resources

About