As a sustainable mode of transportation, subways bring great convenience to the society. Although there have been many studies examining the relationship between the built environment and the station-level ridership, those studies focused mainly on the ridership, which is defined as the number of trips for each station. While ridership is an important indicator for evaluating subway demand, passenger-distance is another critical indicator that incorporates distance into demand evaluation, which has not yet been fully explored. To fill this gap, this paper investigates the relationship between the built environment around stations and the station-level passenger-distance (SLPD). As noted in previous studies, the relationship between the built environment and travel demand can vary by space. Therefore, a geographically weighted regression (GWR) model and a mixed geographically weighted regression (MGWR) model have been used to explore this spatially varying relationship using Chengdu, China, as an example case. The results were compared with that of an ordinary least squares (OLS) model. The comparison shows that the MGWR model that considers both global and local variables has the best goodness of fit. Results also show that 11 of the 25 potential variables are significantly related to SLPD. The accessibility of the station, station type, such as transfer or terminal, number of bus stops, number of restaurants, density of building area, density of the national road network, and density of the provincial road network, all have a positive correlation with SLPD. Meanwhile, the variables, whether it is a newly opened subway station, density of living points of interest (POIs), and density of railroad network, are all negatively correlated with SLPD. Ten of the eleven significant variables (except accessibility) have spatially varying relationships with SLPD. These findings can serve a useful reference for transportation planners for the demand evaluation.

Background Biliary neuroendocrine neoplasms are rare diseases characterized by low morbidity, difficult diagnosis, and poor prognosis. In this study, we aimed to provide a better understanding of this disease by analyzing the clinicopathological features, treatment, and factors associated with prognosis of 36 cases of neuroendocrine neoplasms arising from the gallbladder, bile ducts, and ampulla of Vater. Results The early stages of the disease often present with atypical symptoms, leading to a delayed diagnosis in most cases, abdominal discomfort was the primary manifestation at diagnosis. Neuroendocrine carcinoma was the most common pathological stage observed, with small-cell neuroendocrine carcinomas being the predominant subtype. Tumor recurrence occured mostly in the liver. The median follow-up time was 39 months, and the median survival time was 30 months. The 1-, 2-, and 3-year survival rates were 63.9%, 51.0%, and 35.7%, respectively. No significant effects of adjunctive therapy on prognosis were found. Pathological grade and access to R0 margin were found to be significantly associated with overall survival. Conclusions Biliary neuroendocrine neoplasms are challenging to diagnose at an early stage due to the absence of typical symptoms. Liver metastasis is relatively common in desease recurrence and is indicative of a poor prognosis., and poor histological grading and the inability to achieve R0 margin significantly shorten the survival period.