In this study, the authors propose a novel accessibility model for transit systems using Shanghai as a case study. The proposed model takes into account both spatial and temporal factors that affect accessibility to transit services.
The authors use data from the Shanghai Statistical Yearbook and the Shanghai Transportation Bureau to create an accessibility index for each station in the transit network. They then compare their results with those obtained from traditional accessibility models, such as the gravity model and the radiation model.
Their findings show that the proposed accessibility model outperforms traditional models in terms of accuracy and flexibility. The new model is able to capture variations in travel time caused by congestion, transfer times, and other factors that can affect accessibility.
The authors conclude that their proposed model can be used by transportation planners and policymakers to improve transit system design and operation. They suggest that future research should focus on expanding the model to other cities and improving its ability to incorporate real-time data on travel conditions.
![/data # iw --debug dev wlan0 connect -w "lucky-5g" auth open key 0:1234567890
Usage: iw [options] dev connect [-w] [] [] [auth open|shared] [key 0:abcde d:1:6162636465] [mfp:req/opt/no]
Join the network with ...](https://linuxcpp.0voice.com/zb_users/upload/2023/05/202305162239148267954.png)
![驱动代码
void kalRxTaskletSchedule(struct GLUE_INFO *pr)
{
static unsigned int num = 0;
tasklet_hi_schedule(&pr->rRxTask[(num++)%NR_CPUS]);
// tasklet_hi_schedule(&pr->rRxTask);
DBGLOG(HAL, ERROR,](https://linuxcpp.0voice.com/zb_users/upload/2023/05/202305162226144313964.png)
