Identifying Public Transit Commuters Based on Both the Smartcard Data and Survey Data: A Case Study in Xiamen, China

<table class="fixed-width table-group" id="tab2"><tr><td><table class="table"><colgroup><col style="width:11.31em"/><col style="width:45.87em"/></colgroup><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Attributes</td><td class="align_center">Statistics</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Gender</td><td class="align_center">Male (45.9%), female (54.1%)</td></tr><tr><td class="align_left">Age (years)</td><td class="align_center">&lt;=20 (1.2%), 21-30 (49.7%), 31-40 (24.0%),<br/>41-50 (11.7%), 51-60 (11.9%), ≥60 (1.5%)</td></tr><tr><td class="align_left">Occupation</td><td class="align_center">Company employees (46.7%), civil servant (6.8%), educator and researcher (8.8%), service worker (20.7%), self-employed worker (14.6%), other (2.4%)</td></tr><tr><td class="align_left">Monthly income <br/>(Unit: RMB)</td><td class="align_center">&lt;=3000 (38.6%), 3001-4500 (20.1%), 4501-6000 (25.6%), &gt;6000 (15.7%)</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Descriptive statistics of valid samples.</div>

Journal of Advanced Transportation

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Table 2

Table 2: Identifying Public Transit Commuters Based on Both the Smartcard Data and Survey Data: A Case Study in Xiamen, China 