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Off-peak frequency in regional public transport

https://doi.org/10.5878/xr4y-0143
The purpose of this study is to look into patronage effects of extended supply outside peak hours on regional public transport services. The patronage effects are explored through four case studies from the region of Scania (Skåne), south Sweden. The cases include rail, coach, and bus services where substantial improvements have been made outside peak hours, resulting in at least hourly all-day services. Two datasets are used: one with panel data, covering 10-14 years of annual measurements of the daily number of trips, and one with before-and-after data where the number of trips on individual departures have been recorded at two points in time. Trip data in the form of daily passenger numbers (weekdays, Saturdays, Sundays), annual observations. Panel data comprising four different public transport services over 10-14 years. Besides the trip data, the dataset also includes the number of daily departures, ticket prices, petrol prices, and population data.
Download data and documentation (9 files / 113.99 KiB)

Data files

  • Annual trip data.csv
    6.62 KiB
  • Hourly A.csv
    4.14 KiB
  • Hourly B.csv
    4.13 KiB
  • Hourly C.csv
    8.72 KiB
  • Hourly D.csv
    5.76 KiB
  • Offpeak regional PT data.xlsx
    70.97 KiB
  • Variables.csv
    1.77 KiB

Documentation files

  • Offpeak variables.csv
    1.77 KiB
  • Offpeak variables.xlsx
    10.09 KiB

Citation and access

Data access level:

Creator/​Principal investigator(s):

Research principal:

Data contains personal data:

No

Citation:

License:

Language:

Method and outcome

Time method:

Description of sampling:

The selection of cases was information-oriented, with a selection process containing three criteria. Firstly, the off-peak improvements must have been quite extensive, resulting in at least hourly all-day services. Secondly, the improvements must have been made a few years ago, to be able to study effects over several years. Thirdly, no other substantial changes must have taken place within the time span studied. This includes, for example, unaltered peak hour frequencies and travel hours.

Time period(s) investigated:

Variables:

19

Data format/​data structure:

Data collection Compilation/Synthesis

Mode of collection:

Compilation/Synthesis

Description of the mode of collection:

Compilation of trip statistics (manual counts and ticket validations) 1-4 weeks per year, together with timetable data, price data, and population data

Time period(s) for data collection:

2021-06 - 2021-10

Data collector:

Source of the data:

  • Registers/Records/Accounts: Administrative
  • Registers/Records/Accounts

Geographic coverage

Geographic location:

Administrative information

Responsible department/​unit:

Technology and society

Funding

Funding agency:

Award number:

TRV 2015/27145

Topic and keywords

CESSDA Topic Classification:

Standard för svensk indelning av forskningsämnen 2025:

INSPIRE topic categories:

Keywords:

Metadata

Version 1
doris
lu_en
Published: