Journal of Transport Geography
ISSN: 0966-6923
Datasets associated with articles published in Journal of Transport Geography
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- How does weather affect bikeshare use? A comparative analysis of forty cities across climate zonesInput data for paper, R code to produce models and output, PDF files for figures in paper, summary statistics, and climate classifications
- Data for: Space-time Demand Cube for Spatiotemporal Coverage Optimization of Shared Bicycle Systems: A Study Using Big Bicycle GPS Data 1. "bike demand.rar" provides the real bike demand data in terms of grid cell index in the study area. 2. "location model.py" provides the code of the location model used in this paper. 3. "Floating-population-based demand.csv" provides the floating population in terms of grid cell index in the study area. 3. "Candidate bike stations.csv" provides the potential candidate bike stations used for location model in the study area. 5. "Static-population-based demand.csv" provides the static population in terms of grid cell index in the study area.
- Data for: Measuring Transit-Based Job Accessibility Using Simulated Individual Work Trips - Case study of Tucson, ArizonaSimulated work trips of transit-dependent workers in Tucson, Arizona
- Data for: Walking distances from services and destinations for residential aged-care centres in Australian citiesCentres are listed by their city, longitude and latitude (duplicates were joined). Other columns represent the walking distance to closest type of destinations which are located within a 2000m air distance to the centres, In these columns, the value -1 indicates no destination was found within that radius.
- Data for: Factors in the sea ports-of-entry and road ports-of-entry cross-border logistics route choiceAppendix A. Table. The transportation time, distance, cost and ratio of toll roads Appendix B. Table. The freight sharing rate of highway, railway and water transportation Appendix C. Table. Port type, connectivity and scale Appendix D. Table. The export amount of the city of origin
- Data for: Between Geography and Transport: A Scientometric Analysis of Port Studies in Journal of Transport GeographyThe list of papers that are included in this study for analysis.
- Data for: Integrating network science and public transport accessibility analysis for comparative assessmentSpace-of-infrastructure (L-space) and space-of-service (P-space) graphs for eight tram networks worldwide, including Melbourne (Australia), Vienna (Austria), Milan (Italy), Toronto (Canada), Budapest (Hungary), Zurich (Switzerland), Amsterdam and The Hague (The Netherlands).
- Data for: Role of User’s Socio-Economic and Travel Characteristics in Mode Choice Between City Bus and Informal Transit Services: Lessons from Household Surveys in Visakhapatnam, IndiaThe attached data set includes socio economic and travel characteristics data of formal public transport and paratransit users in Visakhapatnam, India
- Public transport network and ridership data for 48 European metropolitan areasDataset of public transport network characteristics for 48 European metropolitan areas. Includes network characteristics and ridership split on public transport modes as well as various economic and urban characteristic collected from multiple data sources, which also are stated in the dataset.