Hierarchical sampling for efficient and comprehensive community connectivity analysis: A Michigan case

P. Tang, M. Alnajjar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Analyzing community connectivity is necessary for identifying construction sites that have various services (e.g., restaurants, supermarkets) within walking distances, so that occupants of the new facilities would not need to use vehicles for accessing those services and thus reduce the carbon footprints of facility operations. Currently, civil engineers need to manually conduct community connectivity analyses on multiple candidate construction sites and recommend the one with the largest number of nearby services. Manual community connectivity analyses are tedious, especially when the engineers need to consider hundreds of locations across an urban area. While experienced engineers may quickly identify some locations with higher community connectivity, such a process is subjective and may compromise the completeness of the solution. To enhance the efficiency of community connectivity analysis while keeping the completeness level of the analysis, this paper explores a hierarchical sampling approach for quickly identifying all locations with high community connectivity across a medium-size city in Michigan. This approach first sparsely sample the urban area (e.g., two miles apart between evaluated locations), and then increase the sampling densities at locations with higher community connectivity based on sparse sampling results. Sensitivity analysis of sampling step sizes are presented and analyzed.

Original languageEnglish (US)
Title of host publicationComputing in Civil Engineering - Proceedings of the 2012 ASCE International Conference on Computing in Civil Engineering
Pages33-40
Number of pages8
DOIs
StatePublished - Dec 1 2012
Event2012 ASCE International Conference on Computing in Civil Engineering - Clearwater Beach, FL, United States
Duration: Jun 17 2012Jun 20 2012

Publication series

NameCongress on Computing in Civil Engineering, Proceedings

Other

Other2012 ASCE International Conference on Computing in Civil Engineering
CountryUnited States
CityClearwater Beach, FL
Period6/17/126/20/12

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications

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  • Cite this

    Tang, P., & Alnajjar, M. (2012). Hierarchical sampling for efficient and comprehensive community connectivity analysis: A Michigan case. In Computing in Civil Engineering - Proceedings of the 2012 ASCE International Conference on Computing in Civil Engineering (pp. 33-40). (Congress on Computing in Civil Engineering, Proceedings). https://doi.org/10.1061/9780784412343.0005