Examining the Effect of Weather Conditions on On-Street Parking Variables

Abdullah Demir; Ali Öz

Makale detayları

Examining the Effect of Weather Conditions on On-Street Parking Variables

Yazarlar:

Abdullah Demir | Ali Öz

Yayıncı:

Süleyman Demirel University

Ana Başlıklar:

Architecture

Dergi:

Journal of Architectural Sciences and Applications Vol.8 Issue 1, pp.406-421

Belge Tipi:

Makale

Yayın Tarihi:

7/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001289993

pISSN:

2548-0170

Anahtar kelimeler:

Özet:

 In this study, the effect of weather conditions on on-street parking variables is examined. In this context, data sets consist of 17 variables such as parking capacity, employee personnel, off-duty personnel, turn-over rate, first-hour parking price, daily parking price, number of transactions, number of cash transactions, average cash parking duration, 0-15 min parking duration, average parking duration, number of subscription, parking subscription price, daily transactions of subscription, subscription parking duration and income on the on-street parking spaces in the Anatolian Side of Istanbul for two years 2017-2018. In this study, turnover rate, parking duration, cash parking duration, and parking income variables are investigated by multiple regression analysis with dummy variables. Daily general weather data during this period are classified into 11 categories as sunny, cloudy, partly cloudy, light rain, rain, short-term heavy rainfall, heavy rainfall, light snow, light snowfall, snow, and a heavy snowstorm- as dummy variables. Based on the estimation results, it is found that both sunny and light snow  light snowfall  snow  heavy snowstorm weather variables decrease parking duration by 0.528 and 1.293 min, respectively. Moreover, results also indicated that the same variables increase cash parking duration by 1.21 and 3.29 min, respectively. Both sunny and cloudy  partly cloudy weather variables increase parking income by 719 TL and 580 TL, respectively. Light snow  light snowfall  snow  heavy snowstorm weather variable decreases parking income by 1143 TL.

 In this study, the effect of weather conditions on on-street parking variables is examined. In this context, data sets consist of 17 variables such as parking capacity, employee personnel, off-duty personnel, turn-over rate, first-hour parking price, daily parking price, number of transactions, number of cash transactions, average cash parking duration, 0-15 min parking duration, average parking duration, number of subscription, parking subscription price, daily transactions of subscription, subscription parking duration and income on the on-street parking spaces in the Anatolian Side of Istanbul for two years 2017-2018. In this study, turnover rate, parking duration, cash parking duration, and parking income variables are investigated by multiple regression analysis with dummy variables. Daily general weather data during this period are classified into 11 categories as sunny, cloudy, partly cloudy, light rain, rain, short-term heavy rainfall, heavy rainfall, light snow, light snowfall, snow, and a heavy snowstorm- as dummy variables. Based on the estimation results, it is found that both sunny and light snow  light snowfall  snow  heavy snowstorm weather variables decrease parking duration by 0.528 and 1.293 min, respectively. Moreover, results also indicated that the same variables increase cash parking duration by 1.21 and 3.29 min, respectively. Both sunny and cloudy  partly cloudy weather variables increase parking income by 719 TL and 580 TL, respectively. Light snow  light snowfall  snow  heavy snowstorm weather variable decreases parking income by 1143 TL.

 In this study, the effect of weather conditions on on-street parking variables is examined. In this context, data sets consist of 17 variables such as parking capacity, employee personnel, off-duty personnel, turn-over rate, first-hour parking price, daily parking price, number of transactions, number of cash transactions, average cash parking duration, 0-15 min parking duration, average parking duration, number of subscription, parking subscription price, daily transactions of subscription, subscription parking duration and income on the on-street parking spaces in the Anatolian Side of Istanbul for two years 2017-2018. In this study, turnover rate, parking duration, cash parking duration, and parking income variables are investigated by multiple regression analysis with dummy variables. Daily general weather data during this period are classified into 11 categories as sunny, cloudy, partly cloudy, light rain, rain, short-term heavy rainfall, heavy rainfall, light snow, light snowfall, snow, and a heavy snowstorm- as dummy variables. Based on the estimation results, it is found that both sunny and light snow  light snowfall  snow  heavy snowstorm weather variables decrease parking duration by 0.528 and 1.293 min, respectively. Moreover, results also indicated that the same variables increase cash parking duration by 1.21 and 3.29 min, respectively. Both sunny and cloudy  partly cloudy weather variables increase parking income by 719 TL and 580 TL, respectively. Light snow  light snowfall  snow  heavy snowstorm weather variable decreases parking income by 1143 TL.

 Bu çalışmada, hava koşullarının yol kenarı otopark değişkenleri üzerindeki etkisini incelemek için veri setleri iki yıl boyunca 2017-2018 İstanbul Anadolu Yakasındaki yol kenarı park yerlerinde park kapasitesi, çalışan personel, mesai dışı personel, devir hızı, ilk saat park fiyatı, günlük park fiyatı, işlem sayısı, nakit işlem sayısı, ortalama nakit park süresi, 0-15 dk park süresi, ortalama park süresi, abonelik sayısı, park abonelik fiyatı, abonelik günlük işlemleri, abonelik park süresi ve gelir gibi 17 değişkenden oluşmaktadır. Bu çalışmada, ciro oranı, park süresi, nakit park süresi ve park geliri değişkenleri kukla değişkenlerle çoklu regresyon analizi ile araştırılmıştır. Bu dönemdeki günlük genel hava durumu verileri kukla değişkenler olarak güneşli, bulutlu, parçalı bulutlu, hafif yağmurlu, yağmurlu, kısa süreli şiddetli yağış, şiddetli yağış, hafif kar, hafif kar yağışı, kar ve şiddetli kar fırtınası olmak üzere 11 kategoriye ayrılmıştır. Sonuçlara göre hem güneşli hem de hafif kar  hafif kar yağışı  kar  yoğun kar fırtınası hava değişkenlerinin park süresini sırasıyla 0,528 ve 1,293 dakika azalttığı bulunmuştur. Ayrıca, aynı değişkenlerin nakit park süresini sırasıyla 1,21 ve 3,29 dakika artırdığını da göstermiştir. Hem güneşli hem de bulutlu  parçalı bulutlu hava değişkenleri otopark gelirini sırasıyla 719 TL ve 580 TL artırmaktadır. Hafif kar  hafif kar yağışı  kar  yoğun tipi hava durumu değişkeni ise otopark gelirini 1143 TL azaltmaktadır.

Makale detayları

Examining the Effect of Weather Conditions on On-Street Parking Variables

Yazarlar:

Abdullah Demir | Ali Öz

Yayıncı:

Süleyman Demirel University

Ana Başlıklar:

Architecture

Dergi:

Journal of Architectural Sciences and Applications Vol.8 Issue 1, pp.406-421

Belge Tipi:

Makale

Yayın Tarihi:

7/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001289993

pISSN:

2548-0170

ISPARK

parking variables

parking duration

weather conditions

multiple regression analysisİSPARK

otopark değişkenleri

otopark süresi

hava koşulları

çoklu regresyon analizi

Sayı

Makale detayları

Yazarlar: Abdullah Demir | Ali Öz

Yayıncı: Süleyman Demirel University

Ana Başlıklar: Architecture

Dergi: Journal of Architectural Sciences and Applications Vol.8 Issue 1, pp.406-421

Belge Tipi: Makale

Yayın Tarihi: 7/2023

Belge Dili: İngilizce

Document ID (Org No.): 2001289993

pISSN: 2548-0170

Sayı

Yazarlar:

Abdullah Demir | Ali Öz

Yayıncı:

Süleyman Demirel University

Ana Başlıklar:

Architecture

Dergi:

Journal of Architectural Sciences and Applications Vol.8 Issue 1, pp.406-421

Belge Tipi:

Makale

Yayın Tarihi:

7/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001289993

pISSN:

2548-0170