PRIVATE CAR TRANSPORT OR PUBLIC TRANSPORT? THE STUDY OF DAILY ACCESSIBILITY IN SZCZECIN

被引:1
作者
Goliszek, Slawomir [1 ]
机构
[1] Polish Acad Sci, Inst Geog & Spatial Org, Twarda 51-55, PL-00818 Warsaw, Poland
来源
GEOGRAFICKY CASOPIS-GEOGRAPHICAL JOURNAL | 2022年 / 74卷 / 04期
关键词
accessibility; GTFS; GIS; private/car transport model; public transport model; Szczecin; DEMAND MANAGEMENT; TRAVEL BEHAVIOR; MODE CHOICE; OWNERSHIP; ATTITUDES; PERCEPTIONS; EMPLOYMENT; ACCESS; IMPACT; LOCATION;
D O I
10.31577/geogrcas.2022.74.4.17
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
The article presents the results of public and private/car transport accessibility modelling, making it possible to compare journey times and two types of transport throughout the day and during rush hours. The public transport model is based on the GTFS data (General Transit Feed Specification), while the car model has been created using data on driving times derived from Google Maps (R) API. Both models presented in the article have been constructed for a specified period. The models for public and private transport count 5.00 a.m. to 10.00 p.m in 15-minute intervals and represent 60 per cent of residents' travel during the working day. The analysis of the models mentioned above has allowed the comparison of the differences in accessibility and its deviations at different times of the day. The disparities revealed by the study have indicated that there are certain times of the day when public transport is competitive with private means of transport. The study focuses on analysing population living in areas inaccessible to public transport. During the day, public transport can compete with individual transport over two communication peaks: in the morning (between 7:00 and 8:30 a.m.) and in the afternoon (between 3:00 and 6:00 p.m.), but is still slower than a car. This spatial representation allows conclusions and recommendations to support low-carbon transport policies based on public transport and alternative travel options such as cycling plus public transport. The results show that many people live in areas that are obliged to use public transport, which, although slower than the car, can compete at peak times.
引用
收藏
页码:337 / 356
页数:20
相关论文
共 73 条
[1]  
[Anonymous], GTFS OPEN DATA SZCZE
[2]   Searching for on-street parking: An empirical investigation of the factors influencing cruise time [J].
Assemi, Behrang ;
Baker, Douglas ;
Paz, Alexander .
TRANSPORT POLICY, 2020, 97 :186-196
[4]   Behaviour theory and soft transport policy measures [J].
Bamberg, Sebastian ;
Fujii, Satoshi ;
Friman, Margareta ;
Garling, Tommy .
TRANSPORT POLICY, 2011, 18 (01) :228-235
[5]  
Banister D., 2005, Barriers to Sustainable Transport - Institutions, Regulation and Sustainability, P54
[6]   Understanding attitudes towards public transport and private car: A qualitative study [J].
Beirao, Gabriela ;
Cabral, J. A. Sarsfield .
TRANSPORT POLICY, 2007, 14 (06) :478-489
[7]   Public transport versus private car GIS-based estimation of accessibility applied to the Tel Aviv metropolitan area [J].
Benenson, Itzhak ;
Martens, Karel ;
Rofe, Yodan ;
Kwartler, Ariela .
ANNALS OF REGIONAL SCIENCE, 2011, 47 (03) :499-515
[8]   Measuring the long-distance accessibility of Italian cities [J].
Beria, Paolo ;
Debernardi, Andrea ;
Ferrara, Emanuele .
JOURNAL OF TRANSPORT GEOGRAPHY, 2017, 62 :66-79
[9]   Comparable Measures of Accessibility to Public Transport Using the General Transit Feed Specification [J].
Bok, Jinjoo ;
Kwon, Youngsang .
SUSTAINABILITY, 2016, 8 (03)
[10]   Estimating Origin-Destination Flows Using Mobile Phone Location Data [J].
Calabrese, Francesco ;
Di Lorenzo, Giusy ;
Liu, Liang ;
Ratti, Carlo .
IEEE PERVASIVE COMPUTING, 2011, 10 (04) :36-44