Transportation

Business Satisfaction: Goods and Services Transportation

Goal: Increase Business Satisfaction: Goods and Services Transportation to 53% satisfied/very satisfied by 2018.Explore the data
% Satisfied/Very Satisfied
Final
53% Satisfied/Very Satisfied
Dec 2018 Target
Goal Period ended December 2018
Show chart
    Added on September 26 2020, after the goal ended.

        Measure Description

        This measure is the percentage of respondents to the Business Satisfaction Survey who indicate they are satisfied or very satisfied with the transportation system. This survey is administered online and by mail every three years. The survey asks that an individual, who is most familiar with how the business' operations are impacted by the Edmonton transportation system, reply on behalf of the business. In 2014, the survey was sent to 3,500 randomly selected businesses, which are proportionally distributed by city quadrant and include businesses from industrial, commercial, retail, wholesale and transportation sectors. The sampling method used for this measure did not include businesses from agriculture, government and education sectors in order to better reflect feedback from businesses that are most likely to be directly impacted by the city’s transportation system. In 2014, approximately 400 businesses completed the survey. The next survey is scheduled to be collected in spring 2017 using the same methodology. The list of businesses used to draw a sample for the survey is being obtained from InfoCanada.

        Measure Importance

        The Edmonton business community’s opinions about the performance of the transportation system provide information about the efficiency of the movement of goods and services. Businesses are direct users of the transportation system and are able to provide feedback on how and to what degree the transportation system impacts their business, which in turn, impacts the city’s economic vitality.

        Historical Data

        This dataset is private.
        Explore the data

        Data Source: City of Edmonton Business Satisfaction Survey on the Transportation System. Results from the 2011 survey are not reported here as the survey sampling methodology used in 2011 is not comparable to the method used in 2014.

        Explanation of Performance

        There is no new result for 2016 as the survey is delivered every three years. When the 2017 survey is completed, there will be another data point to gauge the overall trend and directly inform this corporate outcome measure. While it is difficult to predict results given the limited number of data points, the target for 2018 appears achievable.

        According to an analysis of the 2014 survey results, the most effective immediate actions to increase overall satisfaction with the transportation system for goods and services are to increase investment in pavement renewal, focus the current renewal investment and improve the effectiveness of pavement repairs. In 2016, federal funding was announced for Yellowhead Trail improvements and a functional planning study was initiated for the Northeast River Crossing. The progress made on these projects will have a positive effect on major routes for goods movement.

        Planned initiatives which contribute to the current results are developing the Smart Roads Strategy, and further implementation of the Goods Movement Strategy including:

        • Establishing a Goods Movement Task Force
        • Implementing prioritized actions from the Goods Movement Strategy
        • Design and construction of Yellowhead Trail improvements

        Risks to achieving the target: financial (projects are slowed by funding) and project management (construction projects are not delivered on time, on budget, on quality, or within scope).

        Useful Links

        For information about the City's strategic plan, The Way Ahead: http://www.edmonton.ca/city_government/city_vision_and_strategic_plan/the-way-ahead.aspx

      Data Governance

      describes the quality of the data itself. Governance issues generally indicate that the data source is considered incomplete or unreliable.

      Model Health

      describes the quality of the predictive model. If the model health is poor, the trend prediction should not be trusted.

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