01590136

Component

Increasing requirements for data in travel demand modeling coupled with the development of new technologies for gathering spatial data create an opportunity to improve methods of data collection in web-based surveys. Two studies were conducted of plug-in vehicle owners using a custom designed survey tool using the Google Maps application programming interface. The survey gathered spatial data regarding locations frequented by respondents and the routes they used between them. This paper presents an analysis of the usage trends of the tool observed in both studies as well as the general usability of this type of data collection. The authors also introduce several lessons learned throughout the design process and suggestions for improvements for future use. Although this approach is very effective in gathering large amounts of location data with a relatively low cost per response, care must be taken by researchers to minimize the effects of bias within the survey tool in order to achieve optimal results.

This paper was sponsored by TRB committee ABJ40 Standing Committee on Travel Survey Methods.

01584066

16-1170

English

15p

2016

Transportation Research Board 95th Annual Meeting

Digital/other

Figures; References

Data collection; Global Positioning System; Location; Maps; Plug-in hybrid vehicles; Routes; Travel behavior; Travel demand; Travel surveys; Web applications

Google Maps

Data and Information Technology; Planning and Forecasting; Transportation (General); I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2016 Paper #16-1170

TRIS, TRB, ATRI

Jan 12 2016 4:32PM