The Impact of Land Use on Time-Varying Passenger Flow Based on Site Classification

Abstract

During the different periods of a day, the imbalanced distribution of inbound ridership, that is related to land use, results in extreme flow, which makes metro management challenging. The causes of imbalanced passenger flow from the perspective of land use in metro station areas are studied in this paper. More specifically, based on site classification, the impact of land use, including the floor area ratio and gross floor area on passenger flow, was explored by using a multiple linear regression model. The results first indicate that the impact intensities of the floor area ratio on peak hourly flow were 0.41, 0.21, and 0.20 around business, residential, and mixed sites, respectively. Second, for the abovementioned sites, the types with the greatest impact intensities of gross floor area on peak hourly flow were commercial and business facilities (B), residential (R), as well as administration and public services (A), which were 0.73, 0.32, and 0.87, respectively. Finally, for the land-development-control schemes for business, residential, and mixed sites, the maximum values of the floor area ratio were roughly 7.2, 5.3, and 8.2, respectively. The results presented in this study provide guidance for land development in metro station areas and contribute to avoiding the emergence of extreme passenger flow.

Nonlinear relationships between built environmental characteristics and ridership in Xi'an metrostation

“…Firstly, this may be linked to the small difference in the proportion of residential lands in metro station areas of downtown Xi'an. Secondly, the difference in land development intensity is also a major reason for the insignificant influence (Lei et al 2022). The fluctuating importance order of land use mixture in various periods further verifies the marginally unstable influence of diverse land uses on the ridership (Gan et al 2020b).…”

“…Generally, the average daily ridership, inbound ridership and outbound ridership were adopted. Such studies emphasized the influence of certain factors on the total ridership, while ignoring the spatiotemporal distributional differences in ridership (Lei et al 2022). However, the ridership of metro stations always fluctuates regularly with time, and its influencing factors are also varied.…”

“…to the commercial LU ( B ), probably because such lands create more employment opportunities and attract business (Li et al 2020). The interaction between peak hours and the residential LU ( R ) is related to the fact that such lands are a major source and destination of metro travel (Lei et al 2022).…”