scholarly journals Alternative Land Use Patterns to Minimize Congestion (Volume 1: Comparative Analysis of Mixed Land Use and Separated Land Use Neighborhoods)

2008 ◽  
Author(s):  
Anica Bose ◽  
Jon Fricker
Keyword(s):  
Land Use ◽  
Comparative Analysis ◽  
Land Use Patterns ◽  
Use Patterns ◽  
Mixed Land Use

Reverse-Engineered Land Use Patterns to Minimize Congestion

2003 ◽  
Vol 1831 (1) ◽  
pp. 141-149
Author(s):  
Amica Bose ◽  
Jon D. Fricker
Keyword(s):  
Land Use ◽  
Travel Time ◽  
Substantial Reduction ◽  
Land Uses ◽  
Land Use Patterns ◽  
Land Use Pattern ◽  
Use Patterns ◽  
Destination Choices ◽  
Mixed Land Use ◽  
Use Pattern

A neighborhood land use pattern designed to accommodate the most frequently taken nonwork trips within an acceptable distance from home was developed. Instead of starting from a specified set of land uses and studying the travel characteristics, mixed land use patterns that fit the observed trip-making behavior of people were formulated. The result is called a reverse-engineered neighborhood, or REN. The REN was tested against a Euclidean development that had separated land uses. Results show a substantial reduction in nonwork trip lengths (in terms of both travel time and distance) in the REN compared with the Euclidean development. The efficiency of the REN is the result of having more trip destination choices available to residents at acceptable distances. The procedures in the analysis are described and demonstrated, the results of the analysis are presented, and directions for further study are suggested.

scholarly journals Mobility nodes and economic spaces: Links, tensions and planning implications

2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Redento Bolivar Recio ◽  
Sonia Roitman ◽  
Iderlina Mateo-Babiano
Keyword(s):  
Land Use ◽  
Spatial Relations ◽  
Public Spaces ◽  
Small Scale ◽  
Urban Mobility ◽  
Land Use Patterns ◽  
Use Patterns ◽  
Metro Manila ◽  
Mixed Land Use ◽  
Informal Trading

While transport hubs function largely as mobility interchanges, they also serve as spaces of conflict and negotiation, particularly when informal livelihoods of poor populations take place in public spaces like streets and transport terminals. This condition poses challenges to urban planners and transport officials on how to promote inclusive cities without sacrificing urban mobility. We examine how informal trading has become embedded in the land-use patterns of Baclaran, a strategic transport hub in Metro Manila. Three factors emerge as critical in understanding how and why informal trading thrives in Baclaran: a) the presence of commuters as captive market; b) mixed land use and activity agglomeration; and c) multi-layered socio-spatial relations. Our empirical data also shows how normalized informal trading in a mobility node has triggered transport route diversion and supported the growth of small-scale informal transport.

Conducting “Siteless Survey”: Results from Coastal New England

1993 ◽  
Vol 14 (1) ◽  
pp. 25-42 ◽  
Author(s):  
Jordan E. Kerber
Keyword(s):  
Land Use ◽  
New England ◽  
Rhode Island ◽  
Careful Consideration ◽  
Archaeological Survey ◽  
Land Use Patterns ◽  
Use Patterns ◽  
Statistical Validity ◽  
Survey Results ◽  
Survey Strategy

Selecting an effective archaeological survey takes careful consideration given the interaction of several variables, such as the survey's goals, nature of the data base, and budget constraints. This article provides justification for a “siteless survey” using evidence from a project on Potowomut Neck in Rhode Island whose objective was not to locate sites but to examine the distribution and density of prehistoric remains to test an hypothesis related to land use patterns. The survey strategy, random walk, was chosen because it possessed the advantages of probabilistic testing, as well as the ease of locating sample units. The results were within the limits of statistical validity and were found unable to reject the hypothesis. “Siteless survey” may be successfully applied in similar contexts where the distribution and density of materials, as opposed to ambiguously defined sites, are sought as evidence of land use patterns, in particular, and human adaptation, in general.

scholarly journals Modeling Community-Scale Natural Resource Use in a Transboundary Southern African Landscape: Integrating Remote Sensing and Participatory Mapping

2021 ◽  
Vol 13 (4) ◽  
pp. 631
Author(s):  
Kyle D. Woodward ◽  
Narcisa G. Pricope ◽  
Forrest R. Stevens ◽  
Andrea E. Gaughan ◽  
Nicholas E. Kolarik ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Resource Use ◽  
Training Data ◽  
Systems Science ◽  
Participatory Mapping ◽  
Land Use Patterns ◽  
Modeling Framework ◽  
Use Patterns ◽  
Human Habitation

Remote sensing analyses focused on non-timber forest product (NTFP) collection and grazing are current research priorities of land systems science. However, mapping these particular land use patterns in rural heterogeneous landscapes is challenging because their potential signatures on the landscape cannot be positively identified without fine-scale land use data for validation. Using field-mapped resource areas and household survey data from participatory mapping research, we combined various Landsat-derived indices with ancillary data associated with human habitation to model the intensity of grazing and NTFP collection activities at 100-m spatial resolution. The study area is situated centrally within a transboundary southern African landscape that encompasses community-based organization (CBO) areas across three countries. We conducted four iterations of pixel-based random forest models, modifying the variable set to determine which of the covariates are most informative, using the best fit predictions to summarize and compare resource use intensity by resource type and across communities. Pixels within georeferenced, field-mapped resource areas were used as training data. All models had overall accuracies above 60% but those using proxies for human habitation were more robust, with overall accuracies above 90%. The contribution of Landsat data as utilized in our modeling framework was negligible, and further research must be conducted to extract greater value from Landsat or other optical remote sensing platforms to map these land use patterns at moderate resolution. We conclude that similar population proxy covariates should be included in future studies attempting to characterize communal resource use when traditional spectral signatures do not adequately capture resource use intensity alone. This study provides insights into modeling resource use activity when leveraging both remotely sensed data and proxies for human habitation in heterogeneous, spectrally mixed rural land areas.

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