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Outsourcing Traffic Data Collection - Miovision Technologies

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In July 2012, we reached out to engineering firms across North<br />

America to take part in <strong>Miovision</strong>’s next research initiative about<br />

outsourcing manual data collection.<br />

This research initiative consisted of six questions about how<br />

engineering firms are using manual data collection vendors,<br />

the frequency, hurdles and solutions in the data collection<br />

process. All of the feedback has been reviewed and compiled<br />

into the report below. Other engineering firms can use this to<br />

gain insight into what firms are experiencing with outsourcing<br />

manual data collection and as a benchmark.<br />

Summary of Questions<br />

1. How many data collection projects do you have annually (in-house and outsourced combined)?<br />

2. How often do you outsource data collection annually?<br />

3. How much administrative time do you spend per project on outsourcing data collection? This includes total time<br />

requesting data/quotes, accessing data, validating data, etc.<br />

4. What is the collected data being used for? (signal timing, corridor studies, retail project, etc.)<br />

5. What hurdles do you experience with outsourcing to manual data collectors?<br />

6. How have you solved these hurdles in the past?<br />

Summary of Findings<br />

For this research initiative on outsourcing manual data collection, there was a wide array of responses for many of the<br />

questions.<br />

Total data collection and manual outsourced data collection results show that the majority of respondents are on either ends<br />

of the spectrum. Either they are doing little or most of their data collection using a vendor and have either very many or few<br />

data collection projects annually.<br />

Results show that most data collection coordination (88%) takes less than a day. It’s applied to various projects, most of<br />

which are signal timing, corridor studies and traffic impact analysis (71% of respondents). The hurdles experienced surround<br />

coordination and quality/validation of manually collected data. To overcome these hurdles, firms better manage the process<br />

and relationship with the vendor.<br />

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