Multigroup Multimodality Index: A Method to Solve the Issue of Transport Mode Classification in Measuring Multimodality
Year: 2023
Type: article
Abstract: Recent methods to measure multimodality only consider the diversity and evenness of mode use, while ignoring that the classification of transport modes also matters. This study proposes a multigroup multimodality index to measure the extent of being multimodal at both single mode and mode group levels in a nested manner. The index is compared with the two most commonly used indices, the Herfindahl-Hirschman index and the Shannon Entropy index, to assess its reliability and improvement over existing approaches. Results show that the multigroup multimodality index can simultaneously distinguish the degree of being multimodal at both mode level and group level, which addresses the classification issue in measuring multimodality.
Source: Findings
DOI: 10.32866/001c.72072
Authors: Xingxing Fu, Dea van Lierop, Dick Ettema
Language: English
Subfield: Transportation
Field: Social Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $100
OpenAlex ID: W4322765004