实例探究 > How Demand Response Software Improved Vehicle Utilization Ratio

How Demand Response Software Improved Vehicle Utilization Ratio

公司规模
1-10
地区
  • America
国家
  • Canada
产品
  • TripSpark Demand Response Software
技术栈
  • Automated Scheduling Software
  • Browser-Based Solution
实施规模
  • Enterprise-wide Deployment
影响指标
  • Customer Satisfaction
  • Productivity Improvements
技术
  • 功能应用 - 车队管理系统 (FMS)
  • 功能应用 - 远程监控系统
适用行业
  • 城市与自治市
  • 运输
适用功能
  • 商业运营
  • 物流运输
用例
  • 车队管理
  • 预测性维护
  • 远程资产管理
服务
  • 软件设计与工程服务
  • 系统集成
  • 培训
关于客户
Whitehorse Transit (WT) is the public transportation provider for Whitehorse, Yukon, accommodating the city's 26,000+ population. The Handy-Bus system, a demand response service, is jointly funded by the City and the Government of the Yukon Territory. WT operates a single vehicle providing around 25-35 trips per day, serving individuals who have difficulty using regular transit services. Despite its small scale, WT is dedicated to offering safe and reliable transportation, especially given the harsh winter conditions in the region.
挑战
The City of Whitehorse faced significant inefficiencies in their transit system due to the limitations of their in-house developed software. The software could not handle multiple pickups, leading to under-utilized buses and a cumbersome manual process for ridership data collection. This inefficiency resulted in unreliable and slow service, causing numerous customer complaints. Dispatchers and management staff spent excessive time managing these complaints and manually inputting performance data into spreadsheets.
解决方案
To address the inefficiencies, WT implemented TripSpark's demand response software. This powerful software allowed for automated scheduling, enabling multiple pickups and optimal routing. The browser-based solution facilitated quick and efficient in-the-moment changes to the schedule, significantly reducing the workload on dispatchers. The software's reporting feature provided real-time performance and overview reports, enhancing the ability to monitor service quality and address customer complaints promptly. Automated ridership data collection further streamlined operations, allowing managers to see service quality in real-time.
运营影响
  • The implementation of demand response software led to an overall increase in service efficiency.
  • Automated dispatching ensured routes were designed around the timely needs of riders, eliminating single-rider trips.
  • Drivers experienced less stress as the software handled route optimization.
  • Dispatchers could quickly adjust routes in response to weather problems, maintaining on-time service.
  • Automated scheduling and dispatching allowed more time to be dedicated to addressing customer complaints.
数量效益
  • Increased vehicle utilization ratio by reducing single-rider trips.
  • Reduced manual data entry time for ridership and performance indicators.
  • Improved on-time service rates due to optimized routing.

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