Non motorized trip pattern of high density neigbourhood: Data on demography and socio-economic parameters

This article analysed data on the effect of demography and socioeconomic parameters on non-motorized trip with special focus on walking as a modal choice. To achieve this aim, 500 detailed question forms were administered to respondents who are 18 years and above in Ota, Ogun State Nigeria. Information on volume of trips, types of trips, modal split, and land use were analyzed. Descriptive and bivariate analysis were done to show the relationship between the parameters using SPSS version 23. The data will be useful for transportation planners, highway engineers, transportation research institute and policy makers on the factors affecting the use of walk in the study area and similar cities in the world.


a b s t r a c t
This article analysed data on the effect of demography and socioeconomic parameters on non-motorized trip with special focus on walking as a modal choice. To achieve this aim, 500 detailed question forms were administered to respondents who are 18 years and above in Ota, Ogun State Nigeria. Information on volume of trips, types of trips, modal split, and land use were analyzed. Descriptive and bivariate analysis were done to show the relationship between the parameters using SPSS version 23. The data will be useful for transportation planners, highway engineers, transportation research institute and policy makers on the factors affecting the use of walk in the study area and similar cities in the world.
& The data is available within this article

Value of data
The data presented the effect of demography and socio-economic parameters on walk trip which can be used by transportation planners, policy makers and other researchers.
The data revealed the effect of socio-economic parameters and land use on walk trip useful for transportation planners and policy makers.
The data set showed the trip pattern of pedestrian the factors affecting walking as a modal choice which will guide researchers.

Data
Fig . 1 showed the use of walking as a mode for both work and recreational trip. The result revealed that traders and farmers had the highest percentage of walk trip (Fig. 1).

Effect of land use on walk trip
Based on the respondents land use location 58.7% of the married engage in walking for both work and recreational trip in educational zone (Fig. 2). Based on the trip purpose, 76.3% of the respondents in industrial zone uses this mode for recreational trip while 23.7% uses the mode for work trip (Fig. 3 and Fig. 4). Data on other land use and walk trip purpose is also shown.

Assessment of walk trip based on access mode using gender and marital status
The result of this analysis showed that generally the low income earners embark on more walk trip than other income class ( Table 1). The spatial assessment of walk trip based on access mode is presented in ( Table 2). The factors affecting the choice of this mode is as shown in Fig. 5.

Bivariate analysis
The above table showed a positive correlation. This infers that there is a correlation between the age of the respondent to how often the responder walks (Table 3). This followed a similar trend with correlation of frequency of trip and income (Table 4).

Experimental design, materials and method
Ota a semi urban industrial area was used for data collection. This is the second most industrialized zone in South Western Nigeria. To achieve the aim of this research questionnaires were used for data collection using 1:15 sampling unit. The questionnaires were distributed evenly to five hundred respondents paying strict adhesion to ethics and confidentiality. The research focused on respondents aged 18 and above as they constitute a large percentage of the total population of the nation. The collected data was analyzed using descriptive method and bivariate analysis. This was also  Table 2 Data set on the spatial assessment of walk trip using access mode.

Spatial Assessment
Land Use less than 2 km 2-5 km 5-10 km Above 10 km backed up with information from the focus discussion group. SPSS version 23 was used in the data analysis. It is important to note that need to provide transportation facilities for active transportation (walking and cycling) is necessary. Research of [1][2][3][4][5][6][7][8][9][10][11][12][13] assessed travel behaviors, such as trip-making frequency and distance and time traveled, have been studied for a variety of neighborhood types.

Acknowledgement
The authors are grateful to Covenant University for the enabling environment to carry out the research.

Transparency document. Supporting information
Transparency data associated with this article can be found in the online version at https://doi.org/ 10.1016/j.dib.2018.08.082.