Does high-speed rail accessibility influence residential property prices? Hedonic estimates from southern Taiwan

A new high-speed railway line (HSR) connects seven metropolitan areas in Taiwan. From Tainan, it is possible to reach Kaohsiung, Chiayi and Taichung in less than one hour, implying an enlarged spatial range of feasible commuting opportunities. The implicit price of HSR accessibility is estimated using hedonic price functions for the residential property market. The results of pre-specified and Box-Cox hedonic price functions are compared. The estimated functions show that HSR accessibility has at most a minor effect on house prices. High ticket prices and entrenched residential location patterns prevent otherwise feasible daily commuting opportunities between Tainan and other cities.     

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.     

Long-term impact of network access to bike facilities and public transit stations on housing sales prices in Portland,Oregon

Planners and economists generally accept that housing market values increase with proximity to transportation facilities through the provision of improved access to activity locations. While the market benefits of rail station access are well-documented, inconsistent and insufficient methods have led to limited agreement on the true value associated with this locational amenity. Far fewer hedonic price studies have assessed the influence of bike facility access on housing sales prices, and those that have generally analyze cross-sectional data. In this study, we estimated a spatial hedonic model using a bootstrapped pseudo panel to determine the joint impact of network proximity to bike lanes and off-street multi-use paths, as well as light rail and streetcar stations, on housing sales in Portland, Oregon, from 2002 to 2013. Our findings revealed housing sales prices increased as network distance to the nearest light rail transit and streetcar station decreased. Likewise, owner-occupied single-family and multifamily housing sales rose in conjunction with reduced street network access to regional multi-use bike paths; however, improved proximity to on-street bike lanes negatively affected housing values. In sum, we believe these findings may help to inform non-automotive transportation infrastructure financing mechanisms that rely on rising property values.     

Modeling bike-sharing demand using a regression model with spatially varying coefficients

As an emerging mobility service, bike-sharing has become increasingly popular around the world. A critical question in planning and designing bike-sharing services is to know how different factors, such as land-use and built environment, affect bike-sharing demand. Most research investigated this problem from a holistic view using regression models, where assume the factor coefficients are spatially homogeneous. However, ignoring the local spatial effects of different factors is not tally with facts. Therefore, we develop a regression model with spatially varying coefficients to investigate how land use, social-demographic, and transportation infrastructure affect the bike-sharing demand at different stations to address this problem. Unlike existing geographically weighted models, we define station-specific regression and use a graph structure to encourage nearby stations to have similar coefficients. Using the bike-sharing data from the BIXI service in Montreal, we showcase the spatially varying patterns in the regression coefficients and highlight more sensitive areas to the marginal change of a specific factor. The proposed model also exhibits superior out-of-sample prediction power compared with traditional machine learning models and geostatistical models.     

Anticipation and post-construction impact of a metro extension on residential values: The case of Laval (Canada), 1995–2013

The application of hedonic pricing models has a long history in estimating the externalities associated with urban infrastructure, such as public transportation. However, results accuracy crucially depends on methodological and empirical considerations such as: i) presence of spatial latent component (spatial autocorrelation); ii) temporal breaks related to different periods over which the infrastructure is built; and iii) heterogeneity of the effect along the line and stations. This paper aims to assess the impact of Montréal's metro extension to the suburb city of Laval (announced in 1998 and started operating in 2007). A spatial difference-in-difference (SDID) estimator based on a repeated sales approach is used to isolate the impact of the proximity to the new infrastructure on single-family house prices depending on the implementation phases and the stations. The results suggest that among the three new infrastructures, only one shows a positive impact of proximity after the first operation of the transit service. The study results tend to relativize the sometimes high expectations in terms of economic impacts of such a project, at least for residential properties.     

诱发客流影响下高速铁路及航空运输客票动态定价研究

在阐述博弈论理论基础上,结合票价变动所产生的旅客流量的变化,选择斯坦科尔伯格模型对高速铁路与航空定价过程进行描述,借助双层规划建模的思想,建立了诱发客流影响下高速铁路与航空运输多层规划动态定价模型,并采用基于灵敏度分析的启发式算法通过实际算例对所构建模型进行计算。结合高速铁路与航空动态定价过程的分析,得出诱发客流影响下高速铁路与航空运输趋于均衡的客票定价区间。最后对高速铁路与航空竞争定价的博弈过程中双方客流量及利润的变化进行分析。     

Attracting travellers to the high-speed train: a methodology for comparing potential demand between stations

The High-Speed Railways (HSR) which are currently operative in 12 countries throughout the world include a wide range of stations with a highly varied capacity to attract travellers. Although there are various reasons for these differences, we have focused on the ones that can be quantified for further comparison. The main purpose of this study was twofold. First of all, we sought to identify stations with a low capacity to attract travellers and to explain the reasons for their concentration in certain countries rather than others. Secondly, we looked for a simple, but widely acceptable, method with which to calculate the capacity to attract users to HSR stations. This would help to establish a better way of allocating financial resources for public investment. This approach enabled us to identify those stations that had little or no potential at all and which had been established for essentially political reasons in countries where the concept of territorial cohesion had been applied in an inappropriate way. This led us to a number of observations relating to the railway policies undertaken in the countries studied and to underline the need for greater international coordination in areas like Europe and for better justified HSR policies. The calculations presented in this article use data relating to the urban populations which live in the vicinity of the world’s HSR stations, the distance from each of these stations to the nearest urban centres and the level of the corresponding regional GDP. All of this information has been used to build a GIS to facilitate analysis and pave the way towards a general comparative approach in which stations would be classified according to their capacity to attract travellers. Such an approach could also be used in areas in which lines are currently under construction and/or where future projects – such as the TEN-T in Europe – have already been approved but not yet executed. Our approach will make it easier to obtain data to show the potential success of, and need for, a HSR connexion as a preliminary step within the decision making process. This constitutes a significant contribution to the debate about the need to assess political decisions concerning HSR investments. It also highlights the need to encourage improved intermodality around railway stations and particularly around those located in non-metropolitan areas.     

运输系统生态可持续性评价指标体系的研究

通过对运输系统生态经济指标分析,将各种运输方式对土地占用、能源消耗、客运和货运周转量、污染物排放、环境危害、安全、便捷性等方面的影响进行比较,并应用灰色关联分析方法进行综合评价。综合评价结果表明:公路运输的便捷性最强,航空运输在中长距离的时效性最强,水运在成本与效益分析中最经济,铁路在占地、能源消耗、污染物排放等生态性指标方面有较突出的优势。     

京沪高铁运营效益研究

京沪高铁开通运营以来,客运量持续增长,运输收入快速递增,并作为优质资产在2020年成功上市,成为中国高铁运营管理的标杆。采用财务分析和项目评价等实证分析方法,对京沪高铁运营十年以来的运输绩效进行研究,剖析京沪高铁公司快速盈利的原因,并对未来京沪高铁运营效益前景进行展望。     

Transit-oriented development,integration of land use and transport,and pedestrian accessibility: Combining node-place model with pedestrian shed ratio to evaluate and classify station areas in Lisbon

Transit-oriented development is being actively promoted as an urban design model for areas around transit stations. In addition, planning for accessibility is being promoted, which requires integrating land use with transportation planning, and to match the transportation features with the intensity and diversity of land use of the station areas. Nevertheless, and despite the evident similarities between the two approaches, an integrated evaluation tool of a station area in terms of its transportation, land use, and urban design features is missing. In this paper, we bring into the literature on integration of land use and transport a key feature of the transit-oriented development literature: the urban design features of the station areas, in particular their pedestrian friendliness. By complementing the node-place model with an evaluation of the pedestrian connectivity of station areas of Lisbon, we combine these two perspectives in order to evaluate and classify station areas in three different aspects: land use, transportation, and walkability conditions. Our results show that a balanced node-place is not necessarily a transit-oriented development, and vice versa, and so a complementary analysis of both is useful to identify and classify a station area. Therefore, we suggest a typology of station areas based on the three components, which might be used as a planning tool for the development of the station areas into balanced transit-oriented development areas.     

Why do warehouses decentralize more in certain metropolitan areas?

Over the last decade, warehousing and distribution centers have decentralized to the urban peripheries where land is cheaper and readily available. This change in location patterns has been driven by the demand to build more modernized and larger facilities to accommodate an ever-increasing influx of freight. Since efficient freight movement is essential for the smooth functioning of metropolitan areas, decentralization should occur everywhere. However, this is not necessarily true. It is hypothesized that depending on the volume of goods movement and the spatial distribution of land prices, the extent of decentralization varies across metropolitan areas. This hypothesis is tested using 48 US metropolitan areas. Results provide robust evidence that high land prices push large warehouses away from central locations. When freight demand and land prices are not as high, the effect becomes insignificant. Indeed, not only is decentralization linked with large metro areas but also with very large warehouses.     

Uncovering the spatially heterogeneous effects of shared mobility on public transit and taxi

A Mixed Geographically Weighted Regression (GWR) model is applied to explore the effects of shared mobility trips on taxi and public transit ridership at the macro-level. Several essential variables, including socioeconomic, transportation, network, and land use data, are set as the causal factors. The experiment is conducted using the smart card data, vehicle GPS trajectories, and vehicle order data collected in Shenzhen City, China. We show that the Mixed GWR outperforms the basic GWR in model fitting and capturing the unobserved heterogeneity. The spatial analysis reveals that bike-sharing addresses the “last-mile” and “first-mile” problems to bus and metro in the urban periphery. It substitutes the bus and taxis in short-distance journeys in the city center. However, the over-placement of bike-sharing in some regions limits the flexibility of bike-sharing connections to the metro. In the city center, ride-hailing fills the gaps in bus coverage and competes with the metro. In the peripheral areas, ride-hailing replaces buses and improves the accessibility to metro stations. The transportation policy increases the cooperation between ride-hailing and taxis citywide, although competitions in few regions need to be solved. The abovementioned results provide policy suggestions to optimize the allocation of local transportation resources.     

Classifying railway stations for strategic transport and land use planning: Context matters!

The classification of railway stations is a potentially powerful tool for strategic transport and land use planning. Existing classifications rely strongly on the indicator “passenger frequency”, which focuses on transport related issues, blending performance with preconditions at a given site. We argue that a classification system for strategic planning should focus on the demands and conditions of the site within which the railway station must function, i.e. system context. Here, we present such a classification system: a cluster analysis of the 1700 Swiss railway stations relying solely on context factors. The resulting classes vary primarily in density (of land use and transport services) and use (commuting, leisure time, tourism). Common geographic patterns and class-specific dynamics are discernable. These results indicate that classification based on the relevant demands and conditions given by context leads to clearly interpretable classes and supports multi-perspective strategic planning for railway stations. The systematic approach allows for a better understanding of the interrelations between railway stations and their context.     

Integrated land use and transportation interaction: a temporal GIS exploratory data analysis approach

Land use and transportation interaction is a complex, dynamic process. Many models have been used to study this interaction process during the past several decades. Empirical studies suggest that land use and transportation interaction patterns can be highly variable between geographic areas and at different spatial and temporal scales. This paper presents a temporal geographic information systems (GIS) design that offers exploratory data analysis capabilities to interactively examine land use and transportation interaction at user-specified spatial and temporal scales. A spatiotemporal interaction framework, implemented with temporal GIS databases, provides a foundation for the development of spatiotemporal analysis functions to systematically explore land use and transportation interaction.     

基于旅客需求的高速铁路客运服务质量评价

高速铁路客运服务应以旅客需求为导向,借助客运服务质量评价体系,完善高速铁路客运服务,满足旅客多样化出行需求。以马斯洛需求理论为基础,针对高速铁路旅客需求和感知建立三级评价指标体系,并提出运用灰色关联度-模糊综合评价法对高速铁路客运服务质量进行评价。对成都东站、重庆西站,以及G2885和G2890次列车高速铁路旅客进行现场调研,基于调研数据,运用灰色关联度-模糊综合评价法评价高速铁路客运服务质量。结果表明,高速铁路列车服务质量总体高于车站服务质量;相比于高速铁路客运服务的基本需求和物质需求,提升服务等级和注重精神尊重是提升高速铁路客运服务质量的努力方向之一。     

Valuation of freight transportation contracts under uncertainty

This paper applies concepts from the theory of Real Options to hedge uncertainty in transportation capacity and cost using derivative contracts, called truckload options. We make three contributions. First, we provide a closed-form pricing formula for basic truckload options when the truckload spot price on a given lane follows a simple mean-reverting process. Second, since only monthly statistics about truckload spot prices are currently available, we provide an approach to estimate the parameters needed to value truckload options. Finally, a numerical illustration based on real data shows that truckload options could be valuable to both shippers and carriers.     

既有铁路站房改扩建形成综合交通枢纽的设计对策

随着城市人口增长，高铁的引入，很多城市需对原有铁路站场及站房进行改扩建设计以形成规模更大、功能更完备的综合交通枢纽，并带动铁路站房所在城市片区的发展。对既有铁路旅客站房改扩建设计进行分析，指出设计需深入分析既有站房改扩建面临的诸多制约因素，据此制定针对性设计对策，确定系统、安全、经济的差异化整体实施方案，以形成高效的综合交通枢纽。     

铁路主要货运站能力适应性分析及对策研究

研究主要货运站的能力适应性，对于解决当前铁路点线能力不匹配的问题具有重要意义。通过对全路主要货运站货运设施、货运到发量、能力利用率和存在问题的摸底调查，分析了全路主要货运站存在的普遍问题和实施升级改造的必要性，结合我国货运改革和货运需求变化等形势，提出若干主要货运站适应发展的对策，并以长沙地区货运站搬迁改造为例进行分析。     

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.     

Impact of bus rapid transit on housing price and accessibility changes in Sydney: A repeat sales approach

ABSTRACT

New public transport infrastructure is expected to improve accessibility for local residents, and thus contribute to increased land value. The contribution that a bus rapid transit (BRT) system can make to increased land value is less certain than for rail-based systems, with the literature mostly containing bus-based examples from developing countries with extensive BRT networks. This article considers a BRT system named the Liverpool–Parramatta Transitway (LPT) that was implemented in southwestern Sydney in 2003 to improve public transport accessibility in the local area. A repeat sales model is constructed to investigate the impact of the LPT on residential housing prices and accessibility changes using repeat sales data from before and after the opening of the LPT. This identified little price difference between properties close to LPT stations and outside of the area that could be considered as affected by the LPT service coverage. This outcome is at variance with the theoretical underpinning of land value uplift and other empirical evidence relating to the LPT. Hedonic models using the same repeat sales data investigate the study area in more detail, stratifying the sample by housing type and by comparing separate before and after models. These research outcomes identify the extent to which the BRT system has an impact on local housing prices through accessibility improvements to the study area and provide a deeper understanding as to how the quantification of land value uplift from BRT represents one element of the wider economic benefits of a BRT system.