Mapping Urban Accessibility in Data Scarce Contexts Using Space Syntax and Location-Based Methods
Data scarcity is still a common barrier to adequately understanding urban access in Global South countries. Widely used location-based methods address the traditional definition of accessibility as the easiness to reach land-uses by means of available mobility modes. Space Syntax instead analyses ac...
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| Định dạng: | BB |
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2020
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| Truy cập trực tuyến: | http://tailieuso.tlu.edu.vn/handle/DHTL/4817 |
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oai:localhost:DHTL-48172020-03-30T02:14:16Z Mapping Urban Accessibility in Data Scarce Contexts Using Space Syntax and Location-Based Methods Morales, J.A. Data scarcity is still a common barrier to adequately understanding urban access in Global South countries. Widely used location-based methods address the traditional definition of accessibility as the easiness to reach land-uses by means of available mobility modes. Space Syntax instead analyses accessibility as network centrality focusing only on the topological and geometric properties of urban layouts, making it comparatively less data-intense. However, the interpretation of its outputs is limited toits own theory. Knowledgeismissing onhow suchmetricsare comparableto the metrics produced by location-based methods. The objective of the research was to compare both approaches for mapping urban accessibility in two cities in Guatemala. Our hypothesis tested the assumption that Space Syntax metrics could consistently reflect accessibility conditions that so far have only been measured by location-based methods. We proposed an approach using volunteered geo-information and produced accessibility maps following both approaches that were then compared using Pearson correlations. SpaceSyntaxmetrics at low and highradii are consistently correlatedwith location-based access to land uses that reflect location quality at neighbourhood and city-wide scale correspondingly. Space Syntax metrics at lower radii reflect time-based access restrictions either posed in the location-based analyses or by reduced accessibility by public transport. The hypothesis acceptance, p < 0.01, expands the scope of accessibility knowledge derivable from limited data availability using Space Syntax, which is relevant for its applicability in data-scarce contexts by planners and researchers in the Global South. Rather than replacing location-based methods Space Syntax offers an important complementary measure to geographical accessibility. This having been said, Space Syntax could contribute to early-stage planning by gaining overall insights into patterns of urban access https://link.springer.com/content/pdf/10.1007%2Fs12061-017-9239-1.pdf 2020-02-18T02:27:55Z 2020-02-18T02:27:55Z 2017 20191023102456.0 130605s2017 BB Applied spatial analysis and policy(2017)12, 24 p http://tailieuso.tlu.edu.vn/handle/DHTL/4817 eng |
| institution |
Trường Đại học Thủy Lợi |
| collection |
DSpace |
| language |
eng |
| description |
Data scarcity is still a common barrier to adequately understanding urban access in Global South countries. Widely used location-based methods address the traditional definition of accessibility as the easiness to reach land-uses by means of available mobility modes. Space Syntax instead analyses accessibility as network centrality focusing only on the topological and geometric properties of urban layouts, making it comparatively less data-intense. However, the interpretation of its outputs is limited toits own theory. Knowledgeismissing onhow suchmetricsare comparableto the metrics produced by location-based methods. The objective of the research was to compare both approaches for mapping urban accessibility in two cities in Guatemala. Our hypothesis tested the assumption that Space Syntax metrics could consistently reflect accessibility conditions that so far have only been measured by location-based methods. We proposed an approach using volunteered geo-information and produced accessibility maps following both approaches that were then compared using Pearson correlations. SpaceSyntaxmetrics at low and highradii are consistently correlatedwith location-based access to land uses that reflect location quality at neighbourhood and city-wide scale correspondingly. Space Syntax metrics at lower radii reflect time-based access restrictions either posed in the location-based analyses or by reduced accessibility by public transport. The hypothesis acceptance, p < 0.01, expands the scope of accessibility knowledge derivable from limited data availability using Space Syntax, which is relevant for its applicability in data-scarce contexts by planners and researchers in the Global South. Rather than replacing location-based methods Space Syntax offers an important complementary measure to geographical accessibility. This having been said, Space Syntax could contribute to early-stage planning by gaining overall insights into patterns of urban access |
| format |
BB |
| author |
Morales, J.A. |
| spellingShingle |
Morales, J.A. Mapping Urban Accessibility in Data Scarce Contexts Using Space Syntax and Location-Based Methods |
| author_facet |
Morales, J.A. |
| author_sort |
Morales, J.A. |
| title |
Mapping Urban Accessibility in Data Scarce Contexts Using Space Syntax and Location-Based Methods |
| title_short |
Mapping Urban Accessibility in Data Scarce Contexts Using Space Syntax and Location-Based Methods |
| title_full |
Mapping Urban Accessibility in Data Scarce Contexts Using Space Syntax and Location-Based Methods |
| title_fullStr |
Mapping Urban Accessibility in Data Scarce Contexts Using Space Syntax and Location-Based Methods |
| title_full_unstemmed |
Mapping Urban Accessibility in Data Scarce Contexts Using Space Syntax and Location-Based Methods |
| title_sort |
mapping urban accessibility in data scarce contexts using space syntax and location-based methods |
| publishDate |
2020 |
| url |
http://tailieuso.tlu.edu.vn/handle/DHTL/4817 |
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AT moralesja mappingurbanaccessibilityindatascarcecontextsusingspacesyntaxandlocationbasedmethods |
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