Case Studies How Demand Response Software Improved Vehicle Utilization Ratio

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	How Demand Response Software Improved Vehicle Utilization Ratio

How Demand Response Software Improved Vehicle Utilization Ratio

Technology Category	Functional Applications - Fleet Management Systems (FMS) Functional Applications - Remote Monitoring & Control Systems
Applicable Industries	Cities & Municipalities Transportation
Applicable Functions	Business Operation Logistics & Transportation
Use Cases	Fleet Management Predictive Maintenance Remote Asset Management
Services	Software Design & Engineering Services System Integration Training
Challenge	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. Read More
About Customer	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. Read More
Solution	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. Read More Log in to view content
Contents

Technology Category

Functional Applications - Fleet Management Systems (FMS)

Functional Applications - Remote Monitoring & Control Systems

Applicable Industries

Cities & Municipalities

Transportation

Applicable Functions

Business Operation

Logistics & Transportation

Use Cases

Fleet Management

Predictive Maintenance

Remote Asset Management

Services

Software Design & Engineering Services

System Integration

Training

Challenge

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.

About Customer

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.

Solution

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.

Impact #1	The implementation of demand response software led to an overall increase in service efficiency.
Impact #2	Automated dispatching ensured routes were designed around the timely needs of riders, eliminating single-rider trips.
Impact #3	Drivers experienced less stress as the software handled route optimization.

Impact #1

The implementation of demand response software led to an overall increase in service efficiency.

Impact #2

Automated dispatching ensured routes were designed around the timely needs of riders, eliminating single-rider trips.

Impact #3

Drivers experienced less stress as the software handled route optimization.

Benefit #1	Increased vehicle utilization ratio by reducing single-rider trips.
Benefit #2	Reduced manual data entry time for ridership and performance indicators.
Benefit #3	Improved on-time service rates due to optimized routing.

Benefit #1

Increased vehicle utilization ratio by reducing single-rider trips.

Benefit #2

Reduced manual data entry time for ridership and performance indicators.

Benefit #3

Improved on-time service rates due to optimized routing.

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Overview

How Demand Response Software Improved Vehicle Utilization Ratio

Operational Impact

Quantitative Benefit