Travel Behavior Analysis Using 2016 Qingdao’s Household Traffic Surveys and Baidu Electric Map API Data

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/jat/volume-2019/6383097/figures/6383097.fig.007a.svgz" name="6383097.fig.007a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>The distribution of schools</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/jat/volume-2019/6383097/figures/6383097.fig.007b.svgz" name="6383097.fig.007b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>The distribution of offices</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/jat/volume-2019/6383097/figures/6383097.fig.007c.svgz" name="6383097.fig.007c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>The distribution of shopping arcades</td></tr></table>

<div>Distributions of residential communities, schools, offices, and shopping centers in Qingdao.</div>

Journal of Advanced Transportation

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Figure 7

Figure 7: Travel Behavior Analysis Using 2016 Qingdao’s Household Traffic Surveys and Baidu Electric Map API Data 