Shopping morphologies of urban transit station areas: A comparative study of central city station catchments in Toronto,San Francisco,and Melbourne

Synergies between shopping and public transit have long been noted, with main streets emerging along tram lines and shopping malls attached to train stations. The shopping-transit synergy is also at the core of transit-oriented development (TOD), a widespread planning approach to urban sustainability. However, there is a lack of morphological research investigating how shopping clusters around transit stations at a fine-geographic scale. This paper explores the shopping morphologies of three central-city subway station areas in Toronto, San Francisco, and Melbourne, mapping and measuring the extent of public and quasi-public shopfronts relative to the station. The morphological analysis of 200, 300, 400, and 500 m walking catchments shows that as the distance from the station increases, the proportion of shopfronts in the total catchment declines. Quasi-public shopping space can enhance the walkable catchment and permeability of a station area and may contribute to urbanity as long as it adds to diversity of access options. The findings highlight the role walkable shopping environments can play within urban transit station areas and show the importance of nuanced consideration being given to morphologies in the analysis and planning of TODs.     

Spatial analysis of access to and accessibility surrounding train stations: a case study of accessibility for the elderly in Perth,Western Australia

Approximately one-fifth of Perth’s population is aged 60 or older. Projections suggest that this proportion will continue to increase as a result of the large number of children born after the World War II (1946–1964). Access to and accessibility around train stations for the aging population is and will become a more important issue as the elderly population continues to grow. The aim of the paper is to develop and apply a new measure of accessibility to train stations at a fine spatial scale, justified by the special circumstance of the elderly using a case study in Perth, Western Australia. Intercept surveys are used to collect data on factors affecting train station accessibility for patrons aged 60 years or older, at seven highly dispersed train stations. Overall accessibility is measured separately using a composite index based on three travel modes (walk-and-ride, park-and-ride and bus-and-ride). The results illustrate that key variables, such as distance from an origin to a station, walking or driving route directness, land-use diversity, service and facility quality, bus connection to train stations, all affect the accessibility to train stations for the elderly. This implies that improvements to these factors will improve accessibility for this population group.     

Catchment if you can: The effect of station entrance and exit locations on accessibility

The success of passenger railway systems depends on their ridership and thus the population they serve. A mechanism to increase ridership is to expose the existing system to more people by reconfiguring the station itself, for instance by adding extra entrance and exit gates to shorten the walking distance from a trip's origin or its final destination. Gates are key nodes giving pedestrians access from street network to boarding/alighting facilities and vice versa. Stations and platforms are places not points, passengers may spend up to 6 min a trip walking between platforms and the end of the station nearest their origin or destination. This study systematically evaluates the accessibility of train stations and the effect of constructing an additional ‘far-side’ gate at stations with a single ‘near-side’ entrance. A three-step approach is defined to generate an isochrone as the catchment area for any transport node. Results indicate that stations with a single gate along their platforms (usually on one end of them) have the potential to increase the accessibility to jobs and population by around 10% on average. Due to the walking network and land use characteristics, some stations will benefit more significantly by retrofitting a new gate. Also, four linear regression models are developed to illustrate the effect of expanded accessibility on the number of entries and exits at each station for two peak periods. Then, stations are ranked based on their added ridership, which can help authorities to prioritize the development and allocating resources.     

突发大客流在城市轨道交通网络中的传播机理

根据突发大客流在城市轨道交通车站的作业性质和特点,将城市轨道交通网络中的车站分为发生站、换乘站和中间站。在此基础上,通过站台候车区的乘客密度、到达列车的剩余载客能力、站台候车乘客数和乘客上车效率等因素,构建站台候车区乘客密度影响模型和列车运行延误时间模型,并总结出突发大客流在城市轨道交通网络中的传播机理。从车站服务水平和列车运行影响两个方面对突发大客流传播的影响因素及相应的调整措施进行分析。     

Exploring the impact of built environment factors on the use of public bikes at bike stations: Case study in Zhongshan,China

Many countries have implemented public bike systems to promote sustainable public transportation. Despite the rapid development of such systems, few studies have investigated how built environment factors affect the use of public bikes at station level using trip data, taking account of the spatial correlation between nearby stations. Built environment factors are strongly associated with travel demand and play an important role in the success of public bike systems. Using trip data from Zhongshan's public bike system, this paper employed a multiple linear regression model to examine the influence of built environment variables on trip demand as well as on the ratio of demand to supply (D/S) at bike stations. It also considered the spatial correlations of PBS usage between nearby stations, using the spatial weighted matrix. These built environment variables mainly refer to station attributes and accessibility, cycling infrastructure, public transport facilities, and land use characteristics. Generally, we found that both trip demand and the ratio of demand to supply at bike stations were positively influenced by population density, length of bike lanes and branch roads, and diverse land-use types near the station, and were negatively influenced by the distance to city center and the number of other nearby stations. However, public transport facilities do not show a significant impact on both demand and D/S at stations, which might be attributed to local modal split. We also found that the PBS usage at stations is positively associated with usage at nearby stations. Model results also suggest that adding a new station (with empty capacity) within a 300 m catchment of a station to share the capacity of the bike station can improve the demand-supply ratio at the station. Referring to both trip demand models and D/S models, regression fits were quite strong with larger R² for weekdays than for weekends and holidays, and for morning and evening peak hours than for off-peak hours. These quantitative analyses and findings can be beneficial to urban planners and operators to improve the demand and turnover of public bikes at bike stations, and to expand or build public bike systems in the future.     

Urban rail systems investments: an analysis of the impacts on property values and residents’ location

Light rail, metro and other urban rail transit systems can play a significant role in improving the attractiveness and quality of urban public transport. They can influence the attractiveness of locations near the stations and improve accessibility for these locations. Furthermore urban rail can improve a location’s attractiveness by its image effect: it makes a station appear modern and dynamic, and thus raises the status of this location.This paper summarises findings on the land-use and economic impacts of the urban rail system of the city of Naples over time and space. It examines changes in residential and non-residential (offices and retail) property prices around the newly built stations between 2001 and 2008 as well as the changes in the number of residents for the same station catchment areas. Ad hoc station control areas have been specified in order to compare the results of these changes. Results show that values in station control areas are lower than those of those of the stations catchment areas.     

Measuring accessibility to health care services for older bus passengers: A finer spatial resolution

Health care accessibility is a vital indicator for evaluating areas where there are medical shortages. However, due to the lack of population data with a satisfactory spatial resolution, efforts to accurately measure health care accessibility among older individuals have been hampered to some extent. To address this issue, we attempt to measure accessibility to health care services for older bus passengers in Nanjing, China, using a finer spatial resolution. More specifically, based on one month's worth of bus smart card data, a framework for identifying the home stations (i.e., a passenger's preferred station near their residence) of older passengers is developed to measure the aggregate demand at the bus stop scale. On this basis, a measurement that integrates the Gaussian two-step floating catchment area (2SFCA) and the adjusted 2SFCA methods (referred to as the adjusted Gaussian 2SFCA method) is proposed to measure accessibility to health care services for older people. The results show that: (1) almost all home stations experience inflated demand, especially those located in the suburbs; (2) despite abundant health care resources, home stations in urban districts are rarely identified as high accessibility stations, due to high demand densities among the older population; and (3) more attention should be paid to two types of home stations – those with a medical institution and those with bed shortages, respectively. The first type is predominantly distributed in the periphery of the city, in the suburbs where the travel time required to access the nearest health care service by bus is longer. The second type is mostly located in the outskirts of urban districts and in the central area of one suburb. These findings could help policy makers to implement more appropriate measures to design and reallocate health care resources.     

Residential property valuations near transit stations with transit-oriented development

Access to train stations is highly valued and this is reflected in the premium price of residential property near train stations. Transit-oriented development (TOD) and the amenities provided by mixed-use development may also provide value to consumers. The analysis presented here evaluates the median property valuations surrounding eight transit stations with TOD using residential property valuation data provided by Zillow™, an on-line real estate listing firm. A hedonic regression analysis was used to evaluate the association between median block-group-level residential property valuations and the distance to the station with TOD and other stations with direct, non-stop access to New York City, while controlling for demographic and housing variables. Spatial econometric software and techniques are used to control for spatial autocorrelation. Results suggest that while the mixed-use development typically found with TOD is likely valued, proximity to stations with direct access to New York City leads to higher relative property valuations.     

An appraisal of the CORINE land cover database in airport catchment area analysis using a GIS approach

This paper presents a free available dataset, the CORINE land cover that helps dealing with the biases caused by pre-defined and heterogeneous census district boundaries in airport catchment area analysis in Europe. Using this dataset and a conventional GIS software it is possible to measure the size of the population within catchment areas at the same spatial level for all EU airports, allowing for consistent comparisons among airports. To illustrate the potential of the CORINE/GIS approach, the size of the population in the catchment areas of all European airports was determined. The empirical exercise has an aggregate perspective, but this database presents many other possibilities of analysis to perform in a case-by-case basis.     

Transit ridership forecasting at station level: an approach based on distance-decay weighted regression

This article develops a rapid response ridership forecast model, based on the combined use of Geographic Information Systems (GIS), distance-decay functions and multiple regression models. The number of passengers boarding at each station in the Madrid Metro network is estimated as a function of the characteristics of the stations (type, number of lines, accessibility within the network, etc.) and of the areas they serve (population and employment characteristics, land-use mix, street density, presence of feeder modes, etc.). The paper considers the need to evaluate the distance threshold used (not the choice of a fixed distance threshold by assimilation from other studies), the distance calculation procedure (network distance versus straight-line distance) and, above all, the use of distance-decay weighted regression (so that the data from the bands nearer the stations have a greater weighting in the model than those farther away). Analyses carried out show that weighting the variables according to the distance-decay functions provides systematically better results. The choice of distance threshold also significantly improves outcomes. When an all-or-nothing function is used, the way the service area is calculated (straight-line or network distances) does not seem to have a decisive influence on the results. However, it seems to be more influential when distance-decay weighting is used.     

Evaluating sustainability and land use integration of BRT stations via extended node place model,an application on BRT stations of Tehran

Modern transportation planners and urban designers are looking for a practical solution toward sustainable, accessible, and cost-effective development of public transportation. Achieving a well-balanced transit-oriented development (TOD) requires a clear illustration of the existing public transportation, land use, and correlations between them. Bus rapid transit (BRT) is a well-known strategy toward developing high-quality transit networks and would be a reasonable transportation choice if allied with a suitable walkable design in surrounding areas. In this paper, the node-place model is developed and applied on BRT stations in Tehran to be analyzed and clustered using three extended TOD indicators. The design index, representing the accessibility and walking potential, is further improved by measuring spatial specifications and walkway density parameters. Furthermore, the place index, representing demand and land use specifications of the area, is investigated through the calculation of possible destination points (PDPs) in the vicinity of stations. The model is reapplied after correlation analyses on input data to find stations' behavior by using more effective parameters. The results indicate that appropriate access to the stations requires a tight network of walkways that offers multiple routes to the stations. Meanwhile, a dense and sophisticated pedestrian area needs to offer short routes with minimum turns required to reach the station. Moreover, in each station, some factors are found to be more dominating. Changes in these factors have more profound effects than other factors. This paper aims to identify these factors and help planners develop TOD areas sustainably.     

The impacts of the built environment on bicycle-metro transfer trips: A new method to delineate metro catchment area based on people's actual cycling space

Bicycle-metro integration is an efficient method of solving the “last mile” issue around metro stations. Built environment is believed to have a significant effect on cycling behavior. However, transfer cycling around metro stations, as a specific type of cycling behavior, has often been overlooked in transport research. In addition, static contextual units such as circular or street-network buffers are typically used to delineate metro catchment areas of transfer cycling trips. These methods are inaccurate to represent the actual geographic contexts of cycling trips, according to the uncertain geographic context problem (UGCoP). Thus, in this study, bicycle-metro catchment areas are delineated based on aggregating the end points of over three million transfer cycling trips. The impact of the built environment on transfer cycling behavior is also explored.First, we find that the aggregate-points buffer outperforms traditional static buffers in predicting transfer cycling trips. Second, we also identify a high level of spatial heterogeneity in catchment area and transfer cycling density between urban and suburban areas. Third, residential and working population density, bus stop density, and metro stations accessibility have a significant effect on bicycle-metro transfer cycling.     

Generic functions of railway stations—A conceptual basis for the development of common system understanding and assessment criteria

The redevelopment of railway stations calls for the integration of many different objectives. Two crucial challenges thereby are the development of a common system understanding among the multiple stakeholders with potentially conflicting interests and the structured definition of comprehensive assessment criteria. Defining the functions of the system railway station, i.e. discussing what the system should do, can support solving these challenges. Based on a review of Swiss railway stations in a transdisciplinary research project applying four focus groups (n=38), 28 expert interviews and two expert workshops, we present a structured framework of five generic functions of railway stations and their interdependencies. The five generic functions are: linking catchment area and transport network, supporting transfer between modes of transport, facilitating commercial use of real estate, providing public space, and contributing to the identity of the surrounding area. Potential conflicts between functions are identified. They concern the competition of multiple functions for space, for customer attention or for revenues as well as increasing system complexities with station size. We illustrate how the framework of functions can be used to foster a common system understanding and to develop assessment criteria. Although elaborated from a Swiss perspective the framework is perceived adaptable to railway stations of other countries.     

Exploring the spatial variations of transfer distances between dockless bike-sharing systems and metros

Dockless bike-sharing is emerging as a convenient transfer mode for metros. The riding distances of bike-sharing to or from metro stations are defined as transfer distances between dockless bike-sharing systems and metros, which determine the service coverages of metro stations. However, the transfer distances have rarely been studied and they may vary from station to station. Therefore, this study aims to explore the influencing factors and spatial variations of transfer distances between dockless bike-sharing systems and metros. First, a catchment method was proposed to identify bike-sharing transfer trips. Then, the Mobike trip data, metro smartcard data, and built environment data in Shanghai were utilized to calculate the transfer distances and travel-related and built environment variables. Next, a multicollinearity test, stepwise regression, and spatial autocorrelation test were conducted to select the best explanatory variables. Finally, a geographically weighted regression model was adopted to examine the spatially varying relationships between the 85th percentile transfer distances and selected explanatory variables at different metro stations. The results show that the transfer distances are correlated with the daily metro ridership, daily bike-sharing ridership, population density, parking lot density, footway density, percentage of tourism attraction, distance from CBD, and bus stop density around metro stations. Besides, the effects of the explanatory variables on transfer distances vary across space. Generally, most variables have greater effects on transfer distances in the city suburbs. This study can help governments and operators expand the service coverage of metro stations and facilitate the integration of dockless bike-sharing and metros.     

Driving demand: What can gasoline refueling patterns tell us about planning an alternative fuel network?

Knowing which variables predict gasoline demand can help inform which are useful in determining future demand at an alternative fuel station such as those for bio-fuels, natural gas, hydrogen, or fast-charge electricity. This study explores the spatial distribution of demand by comparing two main classes of variables: those without a displacement component such as population in a census block group, and those that imply a vector or directionality such as vehicle kilometers traveled. The spatial distribution of these variables is compared to the spatial distribution of demand for gasoline using regression. Many models examining the transition from gasoline to an alternative fuel assume a demand pattern for fuel a priori in order to estimate potential demand at a future alternative fuel station. This paper studies not the models themselves but the variables used to predict demand. The results indicate that vehicle kilometers traveled (VKT) is the best variable to pinpoint where demand for fuel will occur. However, travel to the central business district of the metropolitan area does not appear to translate into demand for fuel in proportion to the VKT. While gasoline demand does appear to vary with population as well, the location of demand is much less specific than that predicted by VKT. The results also suggest that the route between home and the nearest freeway entrance may help predict a large portion of refueling and merits further investigation. This possible tendency can be used to create a new variable called “population-traffic” which appears to describe the spatial distribution of demand well. The good performance of this independent variable in regressions suggests that stations sited along the freeway may serve customers needs and provide the necessary concentration of demand for initial alternative fuel stations. A practical application of this work would be to help define refueling demand patterns in a rollout of alternative fueled vehicles in a neighborhood or town.     

西安铁路枢纽客运系统扩能方案研究

西安铁路枢纽将有8个方向、7条铁路线引入,既有西安站已不能满足客流增长的需要。分析西安枢纽内影响客运能力的各项因素,结合西安枢纽的改扩建及西安城市规划,提出新建第二客运站——西安北站和辅助客运站——纺织城站,并对原西安站进行扩建的方案,形成西安枢纽客运系统二主一辅的格局。     

速度等级组合列车的双线铁路站间距合理性研究

合理确定双线铁路站间距,可以在满足运营需要通过能力的同时,适当减少中间站的设置数量,满足铁路运输需要。以图解法和分析计算法为基础,考虑列车速度组合、列车铺画顺序、列车连发对数和列车间隔时间等因素对合理站间距的影响,采用均衡铺画和集中铺画方法,分析列车运行图周期的时间构成,计算3种速度等级列车组合下的双线铁路站间距。经实例验证合理站间距计算方法的合理性,得出双线铁路区段在3种速度等级列车组合情况下的合理站间距。     

GIS as a tool for selection of sample areas in a travel behaviour survey

Whilst Geographical Information Systems (GIS) are now used more commonly in transport research and modelling, GIS techniques were used in this study to select similar sample areas (in terms of geography and census attributes) for data collection. For this purpose, a GIS mapping system for Tyne and Wear, UK, was built. The system included topographic maps of the area, boundary maps of Lower Super Output Areas (LSOA), and aggregated census statistics datasets for LSOAs. Criteria relating to census attributes and the nature of transport were employed to identify ‘hotspots’ by GIS enquiry to provide suitably matching areas, which then formed the basis of the sampling frame.The research project was concerned with commuters’ travel choices and so the study needed to identify commuters. In this case-study context, it is not possible to select fully homogeneous areas, so the GIS ‘hotspots’ approach allowed the identification of areas where there were a high concentration of commuters with multiple alternatives for travel to work. A pilot study showed that the GIS origin-based approach was good in collecting a balanced sample, as compared to an employment-based destination survey. This paper explores the benefits and costs of these origin- and destination-based approaches. In the origin-based home sample, households with paper-based surveys were targeted after identification by GIS. This origin approach requires more data preparation compared to the alternative of an employer-based, destination-based sample that could use online survey methodologies.The paper concludes by identifying GIS as an important tool in selecting a sample area for data collection using multiple criteria, but argues that plans for data collection need to be flexibly constructed to overcome unexpected challenges. Although this paper focuses on a transport research case study, the methodology presented can be applied to survey design and selection of sample areas in other disciplines.     

Land use characteristics of subway catchment areas and their influence on subway ridership in Seoul

This study has dual research objectives: 1) to evaluate the land use characteristics of the pedestrian catchment areas (PCA) of subway stations in the Seoul metropolitan area (SMA) in terms of transit-oriented development (TOD) principles and 2) to investigate the influence of each PCA's land use characteristics on station-level ridership. The major findings can be summarized as follows. First, the built environments of subway PCAs in Seoul were found to be compatible with TOD principles in terms of density and diversity. They have declining density gradients of population and employment that extend outward from a station and have a high level of mixed-use land.Second, population and employment densities, land use mix diversity, and intermodal connectivity all have a positive impact on subway ridership, but differ in their spatial ranges. In particular, the influence spans of residential and commercial development patterns (population density and the proportion of commercial land) and mixed land use on ridership were limited to only the core and primary PCAs. Consequently, with respect to TOD in a compact city like Seoul, we recommend that a PCA be defined to encompass a radius of 600 m.