Transport Policy

The data was obtained via a probability sampling technique. 403 students were selected in 20 schools out of 47 registered private schools (primary and Junior High schools in Sunyani Municipality) to explore obstacles to the delivery of quality bus service via interviewer-administered questionnaire with closed-ended questions.

Data for this manuscript.

This is data pertaining to a study of travel disruptions in the UK

The data includes direct emissions, forward, backward, internal and mixed carbon linkages of total; inland; water and air transport from 1995 to 2011. It further contains direct CO2 intensities data from 1995 to 2009. The calculations are based upon input-output tables and environmental accounts from the WIOD database. The methodology file includes the step by step procedure including the partition of Leontief inverse matrix, partitioned Cella (1984) proposal and programs/software utilized and commands executed within those programs for inter-sectoral carbon linkages calculation. Presentation of these accounts will be helpful for possible future replication of results presented in our dataset.

Processed 2015 Mexican Intercensus commute microdata with measures of urban area transportation supply and urban form

Summary files contain 2010 actual and 2020 forecast land use patterns, including household counts (HH) and employment counts (EMP) by Census Tract. Also included is the accessibility to jobs of each Census Tract (ACCESS). Change in households, employment, and accessibility between build and no build scenarios are included for convenience (DIFF variables). The impedance files are the zone-to-zone travel times by auto during the peak hour used as inputs to the TELUM 2010 land use model. For the Loop 1604 projects, there is only 2010 and 2020 travel times; for the Mobility 2040 projects, there is also 2015 travel times provided.