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Does Transit Service Reliability Influence Ridership?

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This research focused on analyzing the association between transit service reliability indicators and ridership. Further, the effect of road network, demographic, socioeconomic, and land use characteristics on transit service reliability was analyzed. The analysis was conducted at a bus stop level. Bus arrival/departure and ridership data from the Charlotte Area Transit System (CATS) was obtained. The road network, demographic, socioeconomic, and land use characteristics were captured within 0.25-mile and 0.50-mile buffers. Pearson correlation analysis was conducted to understand the association between road network, demographic, socioeconomic, and land use characteristics and bus transit service reliability measures. The results show that bus transit service reliability has a substantial impact on ridership and is influenced by road network, demographic, socioeconomic, and land use characteristics within the bus stop vicinity. The findings help public transportation agencies to effectively utilize available resources, plan, and provide equitable services to all riders.
Title: Does Transit Service Reliability Influence Ridership?
Description:
This research focused on analyzing the association between transit service reliability indicators and ridership.
Further, the effect of road network, demographic, socioeconomic, and land use characteristics on transit service reliability was analyzed.
The analysis was conducted at a bus stop level.
Bus arrival/departure and ridership data from the Charlotte Area Transit System (CATS) was obtained.
The road network, demographic, socioeconomic, and land use characteristics were captured within 0.
25-mile and 0.
50-mile buffers.
Pearson correlation analysis was conducted to understand the association between road network, demographic, socioeconomic, and land use characteristics and bus transit service reliability measures.
The results show that bus transit service reliability has a substantial impact on ridership and is influenced by road network, demographic, socioeconomic, and land use characteristics within the bus stop vicinity.
The findings help public transportation agencies to effectively utilize available resources, plan, and provide equitable services to all riders.

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