Journal of Transport Geography

Input data for paper, R code to produce models and output, PDF files for figures in paper, summary statistics, and climate classifications

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.

Simulated work trips of transit-dependent workers in Tucson, Arizona

Centres 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.

Appendix 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

The list of papers that are included in this study for analysis.

Space-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).

The attached data set includes socio economic and travel characteristics data of formal public transport and paratransit users in Visakhapatnam, India

Dataset 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.

samp_red - data file, CSV Format RP, SP, and RPSP code in GAUSS have been provided for the three models used in the research