License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.GIScience.2023.61
URN: urn:nbn:de:0030-drops-189566
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/18956/
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Qiang, Dan ; McKenzie, Grant

Mobility Vitality: Assessing Neighborhood Similarity Through Transportation Patterns In New York City (Short Paper)

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LIPIcs-GIScience-2023-61.pdf (11 MB)

Abstract

Though numerous studies have examined human mobility within an urban environment, few have explored the concept of urban vitality purely through the lens of urban transportation. Given the importance of different modes of transportation within a city, such analysis is necessary. In this short paper, we introduce the novel concept of mobility vitality by integrating human mobility and urban vitality, offering a multilayered framework to assess the degree of transportation and mobility within and between regions. The mobility patterns of three transportation modes, namely subway, taxicab, and bike-share, are first examined independently. These patterns are then aggregated to form the composite measure of static mobility vitality. Through this measure, we evaluate similarities between neighborhoods. Our results observed significant spatial differences in the travel patterns of three transportation modes on weekdays and weekends. Moreover, neighborhoods with high static mobility vitality have relatively similar mobility patterns. Ultimately, this approach aims to find neighborhoods with imbalanced transportation infrastructure or inadequate public.

BibTeX - Entry

@InProceedings{qiang_et_al:LIPIcs.GIScience.2023.61,
  author =	{Qiang, Dan and McKenzie, Grant},
  title =	{{Mobility Vitality: Assessing Neighborhood Similarity Through Transportation Patterns In New York City}},
  booktitle =	{12th International Conference on Geographic Information Science (GIScience 2023)},
  pages =	{61:1--61:6},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-288-4},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{277},
  editor =	{Beecham, Roger and Long, Jed A. and Smith, Dianna and Zhao, Qunshan and Wise, Sarah},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2023/18956},
  URN =		{urn:nbn:de:0030-drops-189566},
  doi =		{10.4230/LIPIcs.GIScience.2023.61},
  annote =	{Keywords: mobility vitality, mobility similarity, transportation, bike-sharing, taxi, subway, New York City}
}

Keywords: mobility vitality, mobility similarity, transportation, bike-sharing, taxi, subway, New York City
Collection: 12th International Conference on Geographic Information Science (GIScience 2023)
Issue Date: 2023
Date of publication: 07.09.2023

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