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<!-- This is the HTML code for the travel time comparison information dialog -->
<!-- for Sampo Vesanen's MSc thesis. 30.7.2020. -->
<div id='abbr-info' title='Travel time comparison app' style='display:none;'>
<h3>Parking of private car in Helsinki Capital Region: compare Helsinki Region Travel Time Matrix 2018 and thesis survey results of Sampo Vesanen</h3>
<p>Focusing on private cars, this application visualises the parking time differences between Helsinki Region Travel Time Matrix 2018 (Tenkanen et al. 2018) and the survey data carried out for the master's thesis of Sampo Vesanen. All input data is aggregated to the level of postal code areas.</p>
<p>In this application terms <i>origin postal code area</i> and <i>destination postal code area</i> are used. Origin <i class='icon hourglass-start'></i> is the postal code you enter to the toolbar field on the left and is shown as <i>Origin postal code area</i> item in the map legend. Destination <i class='icon hourglass-end'></i> is the postal code area your cursor currently hovers on.</p>
<p>Please note that when using this application on desktop computer, you can activate map view zoom with the <i class='icon search'></i> icon that appears at top right when hovering cursor over the map. Use double-click or mouse wheel to zoom. Click <i class='icon expand-arrows-alt'></i> icon to return to the default view.</p>
<h4>Tooltip column names</h4>
<table class='legend-table'>
<tr>
<th>Column name</th>
<th>Description</th>
</tr>
<tr>
<td class='legend-td'>rush hour</td>
<td class='legend-td'>Rush hour traffic (09:00–11.00, 15.00–17.00)</td>
</tr>
<tr>
<td class='legend-td'>midday</td>
<td class='legend-td'>Midday traffic (09.00–15.00)</td>
</tr>
<tr>
<td class='legend-td'>all, average</td>
<td class='legend-td'>An average of all available data. For <b>TTM18</b>, these are <i>Rush hour traffic</i>, <i>Midday traffic</i>, and <i>Route following speed limits without any additional impedances</i>. For <b>thesis survey data</b>, these are the values of the survey question <code>timeofday</code>: <i>Weekday, rush hour</i>, <i>Weekday, other than rush hour</i>, <i>Weekend</i>, and <i>Can't specify, no usual time</i>.</td>
</tr>
</table>
<h4><i class='icon database'></i>Travel Time Matrix 2018, row names</h4>
<table class='legend-table lt-header'>
<tr>
<th>Row name</th>
<th>Description</th>
</tr>
</table>
<table class='legend-table lt-top-row vl-sfp-wtd'>
<tr>
<td class='legend-td'>sfp</td>
<td class='legend-td'>Time consumed in searching for parking. In TTM18, this is <b>0.42 minutes</b> for all YKR IDs (in the case of this application, postal code areas) in the entirety of Helsinki Capital Region (Toivonen et al. 2014).</td>
</tr>
<tr>
<td class='legend-td'>wtd_avg</td>
<td class='legend-td'>An averaged value (per postal code area, unit minutes) of walking time from one's parked private car to the final destination of the travel chain. In TTM18 this is <b>2.0 minutes</b> for all YKR IDs in the entirety of Helsinki Capital Region, except in a square defined over the center of Helsinki, where the value is <b>2.5 minutes</b> for all YKR IDs (Toivonen et al. 2014). See the switch "Helsinki walking center (TTM18)" in the toolbar to the left.</td>
</tr>
</table>
<table class='legend-table'>
<tr class='vl-avg'>
<td class='legend-td'>avg</td>
<td class='legend-td'>A mean duration (per postal code area, unit minutes) of the complete travel chain with private car from origin postal code area to the destination postal code area.
<ul>
<li>Formula: <code>(car_x_t<sub>1</sub> + car_x_t<sub>2</sub> + ... + car_x_t<sub>n</sub>) / n</code>, where x is <code>r</code>, <code>m</code>, or <code>all</code>. <code>car_</code> represents unchanged TTM18 data columns.</li>
</ul>
</td>
</tr>
<tr class='vl-drive-pct'>
<td class='legend-td'>drivetime</td>
<td class='legend-td'>The length of the driving segment (unit minutes) of the mean duration of the complete travel chain from origin postal code area to the destination postal code area without searching for parking (using the TTM18 value) or walking to the final destination of the travel chain (TTM18 value).
<ul>
<li>Formula: <code>ttm_x_avg - ttm_sfp - ttm_wtd_avg</code>, where x is <code>r</code>, <code>m</code>, or <code>all</code>.</li>
</ul>
</td>
</tr>
<tr class='vl-drive-pct'>
<td class='legend-td'>pct</td>
<td class='legend-td'>How much does searching for parking and walking from one's parked car to the final destination of the travel chain constitute of the mean duration of the complete travel chain? Value per postal code area, unit percent, where 1 equals 100 %.
<ul>
<li>Formula: <code>(ttm_sfp + ttm_wtd_avg) / ttm_x_avg</code>, where x is <code>r</code>, <code>m</code>, or <code>all</code>.</li>
</ul>
</td>
</tr>
</table>
<h4><i class='icon poll'></i>Thesis data, row names</h4>
<table class='legend-table lt-header'>
<tr>
<th>Row name</th>
<th>Description</th>
</tr>
</table>
<table class='legend-table lt-top-row vl-sfp-wtd'>
<tr>
<td class='legend-td'>sfp_avg</td>
<td class='legend-td'>Time consumed, on average, in searching for parking in a postal code area, according to the thesis survey respondents. The thesis data variable <code>parktime</code> was averaged for the current postal code area for the use of this application.
<ul>
<li>Formula: <code>(parktime<sub>1</sub> + parktime<sub>2</sub> + ... + parktime<sub>n</sub>) / n</code>, while postal code value is constant.</li>
</ul>
</td>
</tr>
<tr>
<td class='legend-td'>wtd_avg</td>
<td class='legend-td'>Average walking time from one's parked private car to the final destination in a postal code area, according to the thesis survey respondents. The thesis data variable <code>walktime</code> was averaged for the current postal code area for the of this application.
<ul>
<li>Formula: <code>(walktime<sub>1</sub> + walktime<sub>2</sub> + ... + walktime<sub>n</sub>) / n</code>, while postal code value is constant.</li>
</ul>
</td>
</tr>
</table>
<table class='legend-table vl-drive-pct'>
<tr>
<td class='legend-td'>drivetime</td>
<td class='legend-td'>The length of the driving segment (value per postal code area, unit minutes) of the mean duration of the complete travel chain (TTM18 data) from the origin postal code area to the destination postal code area, without searching for parking (thesis survey mean) or walking to destination (thesis survey mean). <code>ttm_x_drivetime</code> is used as the complete travel chain.
<ul>
<li>Formula: <code>ttm_x_drivetime - thesis_x_sfp - thesis_x_wtd</code>, where x is <code>r</code>, <code>m</code>, or <code>all</code>.</li>
</ul>
</td>
</tr>
<tr>
<td class='legend-td'>pct</td>
<td class='legend-td'>How much do the thesis survey mean values for searching for parking and walking from one's parked car to the final destination constitute of the mean duration of the complete travel chain (calculated from TTM18 data)? <code>ttm_x_drivetime</code> is used as the complete travel chain. Value per postal code area, unit percent, where 1 equals 100 %.
<ul>
<li>Formula: <code>(thesis_x_sfp + thesis_x_wtd) / ttm_x_drivetime</code>, where x is <code>r</code>, <code>m</code>, or <code>all</code>.</li>
</ul>
</td>
</tr>
</table>
<h4><i class='icon exchange-alt'></i>Comparison of TTM18 and thesis data, row names</h4>
<p>Unit in comparison is percent, where 1 equals 100 %. Meanings of icons beside comparison values:<br>
<i class='icon database'></i> — Comparison value is less than 1, TTM18 data value is larger than thesis survey value<br>
<i class='icon poll'></i> — Comparison value is more than 1, thesis survey data value is larger than TTM18 value<br>
<i class='icon equals' style='float:left;margin-right:6px;'></i> — Comparison value is 1, TTM18 and thesis survey data values are equal</p>
<table class='legend-table lt-header'>
<tr>
<th>Row name</th>
<th>Description</th>
</tr>
</table>
<table class='legend-table lt-top-row'>
<tr class='vl-sfp-wtd'>
<td class='legend-td'>sfp</td>
<td class='legend-td'>Compare TTM18 and thesis survey values for searching for parking. If this comparison value is smaller than one, searching for parking takes longer in TTM18. If value is larger than one, searching for parking takes longer in thesis data.
<ul>
<li>Formula: <code>thesis_x_sfp / ttm_sfp</code>, where x is <code>r</code>, <code>m</code>, or <code>all</code>.</li>
</ul>
</td>
</tr>
<tr class='vl-sfp-wtd'>
<td class='legend-td'>wtd</td>
<td class='legend-td'>Compare TTM18 and thesis survey values for the duration to walk from one's parked car to the final destination of the travel chain.
<ul>
<li>Formula: <code>thesis_x_wtd / ttm_wtd_avg</code>, where x is <code>r</code>, <code>m</code>, or <code>all</code>.</li>
</ul>
</td>
</tr>
<tr class='vl-drive-pct'>
<td class='legend-td'>drivetime</td>
<td class='legend-td'>Compare the driving time segment of the mean duration of the complete travel chain in TTM18 and thesis data.
<ul>
<li>Formula: <code>thesis_x_drivetime / ttm_x_drivetime</code>, where x is <code>r</code>, <code>m</code>, or <code>all</code>.</li>
</ul>
</td>
</tr>
<tr class='vl-drive-pct'>
<td class='legend-td'>pct</td>
<td class='legend-td'>Compare the percentual value of the significance of searching for parking and walking to one's final destination of the mean duration of the complete travel chain in TTM18 and thesis data.
<ul>
<li>Formula: <code>thesis_x_pct / ttm_x_pct</code>, where x is <code>r</code>, <code>m</code>, or <code>all</code>.</li>
</ul>
</td>
</tr>
</table>
<h4>Literature</h4>
<ul>
<li>Tenkanen, H., J.L. Espinosa, E. Willberg, V. Heikinheimo, A. Tarnanen, T. Jaakkola, J. Järvi, M. Salonen, T. Toivonen (2018). Helsinki Region Travel Time Matrix 2018. DOI: 10.13140/RG.2.2.20858.39362.</li>
<li>Toivonen, T., M. Salonen, H. Tenkanen, P. Saarsalmi, T. Jaakkola & J. Järvi (2014). Joukkoliikenteellä, autolla ja kävellen: Avoin saavutettavuusaineisto pääkaupunkiseudulla. <i>Terra</i> 126: 3, 127–136.</li>
</ul>
<h4>Spatial data sources</h4>
<ul>
<li><a href='https://hri.fi/data/dataset/paakaupunkiseudun-aluejakokartat'>Municipality subdivisions</a> (C) Helsingin, Espoon, Vantaan ja Kauniaisten mittausorganisaatiot 2011. Aineisto on muokkaamaton. License <a href='https://creativecommons.org/licenses/by/4.0/deed.en'>CC BY 4.0</a>.</li>
<li><a href='https://www.stat.fi/tup/paavo/index_en.html'>Postal code area boundaries</a> (C) Statistics Finland 2019. Retrieved 27.6.2019. License <a href='https://creativecommons.org/licenses/by/4.0/deed.en'>CC BY 4.0</a>.</li>
<li><a href='http://urn.fi/urn:nbn:fi:csc-kata00001000000000000226'>Regional population density 2012</a> (C) Statistics Finland 2019. Retrieved 13.3.2020. License <a href='http://www.nic.funet.fi/index/geodata/tilastokeskus/Tilastokeskus_terms_of_use_2018.pdf'>Other (Open)</a>.</li>
<li><a href='https://land.copernicus.eu/local/urban-atlas/urban-atlas-2012'>Urban Atlas 2012</a> (C) European Environment Agency 2016. Retrieved 27.6.2019. License <a href='https://land.copernicus.eu/local/urban-atlas/urban-atlas-2012?tab=metadata'>available at Copernicus.eu</a>.</li>
</ul>
</div>