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Shopping precinct user-profiles: informing streetscape planning and management

Shopping precinct user-profiles: informing streetscape planning and management. Thriving Neighbourhoods Conference October 2013 David Vial & Michelle Prior. Shopping precinct user-profiles. Outline Introduction Program Objectives Data Collection Findings & Insights. Introduction.

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Shopping precinct user-profiles: informing streetscape planning and management

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  1. Shopping precinct user-profiles: informing streetscape planning and management Thriving Neighbourhoods Conference October 2013 David Vial & Michelle Prior

  2. Shopping precinct user-profiles • Outline • Introduction • Program Objectives • Data Collection • Findings & Insights

  3. Introduction Shopping precincts: • Essential community places • Focal point for local communities • Localities provide a unique signature • Conflicting uses – pedestrians, cyclists, motorists, types of shops • Capital & recurrent spending by LGA

  4. Program Objectives • Align planning & expenditure with user requirements • Gain an understanding of users opinions about shopping precincts • Inform streetscape planning and management decision making • Contribute to the creation of healthy & vibrant places

  5. Streetscape Focus Area Outdoor precincts – Shopping strips • Retail • Commercial • Hospitality • Professional services • Community facilities • Increasingly mixed use: residential

  6. Findings & InsightsFrequency of Visit Majority visit daily or a few days per week - Ready location for place making

  7. Findings & InsightsLength of Stay Length of stay is longer in larger shopping precincts – more variety

  8. Findings & InsightsReasons for Visiting Group segmentation possibility for further analysis of a larger data base Note: Multiple Response Question

  9. Findings & InsightsMedian Distance & Time Median distance for non-motorised is 500 metres travelling distance – not as the crow flies * Small sample size

  10. Findings & InsightsChoice of transport Mode Distance & convenience often motivate the choice of transport mode Note: Multiple Response Question

  11. Findings & InsightsTransport Mode Transport modes vary with age

  12. Findings & InsightsWalkability Multifaceted factors affect walkability

  13. Findings & InsightsImportance / Satisfaction Provision Vehicle parking & bin provision have highest gap between importance & satisfaction The higher the negative the greater the dissatisfaction to importance

  14. Findings & InsightsImportance / Satisfaction Maintenance Footpath, toilet maintenance& rubbish removal are priorities The higher the negative the greater the dissatisfaction to importance

  15. Findings & InsightsEnhancements Comments provide a richness and powerful insight into creating better shopping precincts

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