The relation between transit service availability and productivity with customers satisfaction

Limited access to public service and a lack of measurable quality of service attributes composes a challenge for providing acceptable service quality. This research addresses the question: does the transit service performance (spatial and temporal coverage) influences customer satisfaction? Availabl...

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Main Author: Lina Shbeeb
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Transportation Research Interdisciplinary Perspectives
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2590198222001762
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author Lina Shbeeb
author_facet Lina Shbeeb
author_sort Lina Shbeeb
collection DOAJ
description Limited access to public service and a lack of measurable quality of service attributes composes a challenge for providing acceptable service quality. This research addresses the question: does the transit service performance (spatial and temporal coverage) influences customer satisfaction? Available data from the relevant sources were collected, and field surveys were conducted to collect data unavailable. Different tools and approaches include descriptive and inferential statistics and GIS-based spatial analysis, including Moran's I, the data envelopment analysis for the super efficiency analysis.The service coverage is relatively poor, with less than 60% of the transit-supportive area (TSA) served by transit. The spatial service assessment based on four attributes (the number and length of transit lines, line density, and % TSA served) showed a small value of Moran's I. Only transit density and the percent of the transit-supportive area served were statistically significant, showing a cluster in the city center. The primary road network correlates with the transit network density and % of TSA served. The results showed that poor service productivity varies by the season and the day of the week, and the system is more efficient in winter. The customers rated the service spatial and temporal coverage above the scale's mid-point, but less than the fare rating and their satisfaction differs by the service season. Customer satisfaction can be predicted based on fare, comfort, and safety for the inter-urban service and service fare, travel time, and convenience of intra-urban service.
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spelling doaj.art-b2bf0b45fd2541f29925e9d8597083742022-12-22T04:19:42ZengElsevierTransportation Research Interdisciplinary Perspectives2590-19822022-12-0116100716The relation between transit service availability and productivity with customers satisfactionLina Shbeeb0Civil Engineering Department School of Built Environment Engineering Hussein Technical University, JordanLimited access to public service and a lack of measurable quality of service attributes composes a challenge for providing acceptable service quality. This research addresses the question: does the transit service performance (spatial and temporal coverage) influences customer satisfaction? Available data from the relevant sources were collected, and field surveys were conducted to collect data unavailable. Different tools and approaches include descriptive and inferential statistics and GIS-based spatial analysis, including Moran's I, the data envelopment analysis for the super efficiency analysis.The service coverage is relatively poor, with less than 60% of the transit-supportive area (TSA) served by transit. The spatial service assessment based on four attributes (the number and length of transit lines, line density, and % TSA served) showed a small value of Moran's I. Only transit density and the percent of the transit-supportive area served were statistically significant, showing a cluster in the city center. The primary road network correlates with the transit network density and % of TSA served. The results showed that poor service productivity varies by the season and the day of the week, and the system is more efficient in winter. The customers rated the service spatial and temporal coverage above the scale's mid-point, but less than the fare rating and their satisfaction differs by the service season. Customer satisfaction can be predicted based on fare, comfort, and safety for the inter-urban service and service fare, travel time, and convenience of intra-urban service.http://www.sciencedirect.com/science/article/pii/S2590198222001762Service Spatial CoverageService Temporal AvailabilityProductivityCustomer Satisfaction
spellingShingle Lina Shbeeb
The relation between transit service availability and productivity with customers satisfaction
Transportation Research Interdisciplinary Perspectives
Service Spatial Coverage
Service Temporal Availability
Productivity
Customer Satisfaction
title The relation between transit service availability and productivity with customers satisfaction
title_full The relation between transit service availability and productivity with customers satisfaction
title_fullStr The relation between transit service availability and productivity with customers satisfaction
title_full_unstemmed The relation between transit service availability and productivity with customers satisfaction
title_short The relation between transit service availability and productivity with customers satisfaction
title_sort relation between transit service availability and productivity with customers satisfaction
topic Service Spatial Coverage
Service Temporal Availability
Productivity
Customer Satisfaction
url http://www.sciencedirect.com/science/article/pii/S2590198222001762
work_keys_str_mv AT linashbeeb therelationbetweentransitserviceavailabilityandproductivitywithcustomerssatisfaction
AT linashbeeb relationbetweentransitserviceavailabilityandproductivitywithcustomerssatisfaction