THE EFFECT OF PUBLIC TRANSPORT PASSENGERS' SOCIO-DEMOGRAPHIC CHARACTERISTICS ON ACCESSIBILITY, WAITING AND TRAVEL TIME PERCEPTION

Year 2022, , 1303 - 1314, 30.12.2022

Buket Çapalı , Serdal Terzi , Mehmet Saltan

https://doi.org/10.21923/jesd.1086227

Abstract

The most important factors that determine the quality of public transportation service are travel time, waiting time and access time. In this study, the public transportation system of Isparta is examined and it is aimed to determine the service quality that based on the perceptions of the passengers. For this reason, the five most used lines were selected. In-vehicle surveys were carried out on the lines. The methodology involves determining the weights of three parameters according to socio-demographic characteristics with statistical tools: access time of passengers to stops, waiting time at the stops and travel time. This study was investigated to improve service quality and attract more passengers to public transport to the interaction of the weights of the parameters with the multi nomial logit model. Significance levels with each other were determined using the Pearson model. While working status with more than two values (employed, student, retired, unemployed, student and employed) and educational status (secondary school, high school, university) is considered as the dependent variable, the independent variables are access time, waiting time and travel time. In addition to these, age, purpose of travel, gender, city card usage and private vehicle ownership of the passengers is found as explanatory variables. As a result, it is seen that the change in working status and educational status affected the perceived service quality. As a result, when working status is chosen as the dependent variable in the multinomial logit model, the independent variable coefficients are obtained for accessibility time (βaccessibility=0.0808), waiting time (βwait=-0.0709) and travel time (βtravel=0.1246). When education status is chosen as the dependent variable, the independent variable coefficients are obtained for accessibility (βaccessibility=0.0518), waiting time (βwait=-0.1963) and travel time (βtravel=0.1711).

Keywords

Service Factors, Public Transportation, Accessibility, Urban Transportation, Multinomial Logit Regression, Multinomial Logit Regression

TOPLU TAŞIMA YOLCULARININ SOSYO-DEMOGRAFİK ÖZELLİKLERİNİN ERİŞİLEBİLİRLİK, BEKLEME VE SEYAHAT SÜRESİ ALGISINA ETKİSİ

Abstract

Toplu taşıma hizmetinin kalitesini belirleyen faktörlerden en önemlileri seyahat süresi, bekleme süresi ve erişilebilirlik süresidir. Bu çalışmada, Isparta ili toplu taşıma sistemi incelenmiş ve yolcuların algılarına dayalı hizmet kalitesinin belirlenmesi amaçlanmıştır. Bu nedenle en çok kullanılan beş hat seçilmiştir. Hatlarda araç içi anket çalışmaları gerçekleştirilmiştir. Metodoloji, yolcuların duraklara erişim süresi, duraklarda bekleme süresi ve seyahat süresi olmak üzere üç parametrenin ağırlıklarının yolcuların sosyo-demografik özelliklerine göre istatistiksel araçlarla belirlenmesini içermektedir. Bu çalışmada, hizmet kalitesini iyileştirmek ve toplu taşımaya daha fazla yolcu çekmek için parametrelerin ağırlıklarının çok terimli logit modeli ile etkileşimi araştırılmıştır. Pearson modeli kullanılarak birbirleri ile anlamlılık dereceleri tespit edilmiştir. İkiden fazla değeri olan çalışma durumu (çalışıyor, öğrenci, emekli, çalışmıyor, öğrenci ve çalışıyor), eğitim durumu (ilköğretim, lise, üniversite) bağımlı değişken olarak ele alınırken, bağımsız değişkenler erişilebilirlik süresi, bekleme süresi ve seyahat süresidir. Bunlara ek olarak yolcuların yaşı, seyahat amacı, cinsiyeti, kent kart kullanımı ve özel araç sahipliği açıklayıcı değişkenler olarak yorumlanmıştır. Sonuç olarak çok terimli logit modelinde çalışma durumu bağımlı değişken seçildiğinde erişilebilirlik süresi (βerişilebilirlik=0.0808), bekleme süresi (βbekleme=-0.0709) ve seyahat süresi (βseyahat=0.1246) bağımsız değişken katsayıları elde edilmiştir. Eğitim durumu bağımlı değişken seçildiğinde erişilebilirlik süresi (βerişilebilirlik=0.0518), bekleme süresi (βbekleme=-0.1963) ve seyahat süresi (βseyahat=0.1711) bağımsız değişken katsayıları elde edilmiştir.

Keywords

Hizmet Faktörleri, Toplu Taşıma, Erişebilirlik, Kent İçi Ulaşım, Çok Terimli Logit Regresyon

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