Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

11-2018

Abstract

Planning for civic amenities in a fast-changing urban setting such as Singapore is never an easy task. And as urban planners look toward more data-driven approaches toward urban planning, so grows the demand for more flexible geospatial analytics tools to facilitate a more iterative and granular approach toward urban planning. Such specific tools however, are not always readily available as plugins for traditional desktop GIS software, as numerous customizations must be made to model specific temporal planning scenarios for quick analysis, which could prove both costly and time-consuming. Hence, to address this need, open-source tools such as R Shiny could be used to rapidly prototype and test urban planning models, in an iterative fashion. To demonstrate how this could be done, we developed a proof-of-concept that aims to provide urban planners with an open-source, interactive geospatial analytics tool to help optimize the placement of amenities and services through K-means clustering, making them as accessible as possible to the city residents they serve. The platform also allows planners to compare the accessibility of the existing amenities and services, against a suggested set of optimized amenity locations, using the Hansen Accessibility Score as a measure of accessibility. This allows planners a tangible grasp on how much of an impact and improvement a relocation of amenities could make for the residents served. This paper details our research and development efforts to design and implement an open-source web-based geospatial tool for supporting the analysis of the accessibility of amenities and services.

Keywords

Amenities, Geospatial analytics, K-means clustering, R shiny, Urban planning

Discipline

Geographic Information Sciences | Numerical Analysis and Scientific Computing | Urban Studies and Planning

Publication

SIGSPATIAL '18: Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Seattle, November 6-9

First Page

616

Last Page

617

ISBN

9781450358897

Identifier

10.1145/3274895.3282798

Publisher

ACM

City or Country

New York

Additional URL

https://doi.org/10.1145/3274895.3282798

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