Railway Stations

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Roland W Scholz - One of the best experts on this subject based on the ideXlab platform.

  • classifying Railway Stations for strategic transport and land use planning context matters
    Journal of Transport Geography, 2011
    Co-Authors: Stefan Zemp, Michael Stauffacher, Daniel J Lang, Roland W Scholz
    Abstract:

    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.

  • generic functions of Railway Stations a conceptual basis for the development of common system understanding and assessment criteria
    Transport Policy, 2011
    Co-Authors: Stefan Zemp, Michael Stauffacher, Daniel J Lang, Roland W Scholz
    Abstract:

    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.

  • classifying Railway Stations for sustainable transitions balancing node and place functions
    Journal of Transport Geography, 2008
    Co-Authors: Dominik E Reusser, Peter Loukopoulos, Michael Stauffacher, Roland W Scholz
    Abstract:

    Railway Stations are arguably important for land-use changes that aid sustainable development. Yet, examining such claims and making recommendations for the (re)development of existing Stations requires a method of assessment as a first step in the development process. A recently proposed distinction of Railway Stations in terms of node (the connectedness with other places) and place (possible activities around the station) is used in the present research and applied to assess all Swiss Railway Stations. The resulting classification of Stations permits class-specific suggestions as input for discussions in the development process to be made. Implications for sustainable development are discussed.

Teruo Higashino - One of the best experts on this subject based on the ideXlab platform.

  • crowdmeter gauging congestion level in Railway Stations using smartphones
    Pervasive and Mobile Computing, 2019
    Co-Authors: Moustafa Elhamshary, Moustafa Youssef, Akira Uchiyama, Hirozumi Yamaguchi, Akihito Hiromori, Teruo Higashino
    Abstract:

    Abstract We present CrowdMeter: a participatory system that leverages the sensed data collected from users’ phones during their daily train commutes to gauge the real-time congestion level in Railway Stations. CrowdMeter tracks the passenger’s position in the station as well as identifies her/his context (e.g., waiting for a train, buying a ticket) along with her trajectory from the station’s entrance to the train. Therefrom, CrowdMeter extracts novel features, based on the user’s location and context, from the phone sensors. These features capture the passenger’s behavior (e.g., the walking pattern) and the ambient environment characteristics (e.g., the ambient sound) that can indicate the surrounding congestion level along the passenger’s route in a Railway station. CrowdMeter utilizes the passengers’ contexts to show the congestion level for each area such as crowd density in passageways and the queue length of ticketing machines. Both passengers and operators can easily recognize the more and less congested areas, which helps to support proper decision making in their trips and smarter guidance of crowds. Evaluation of CrowdMeter through a field experiment in 29 different train Stations in Japan shows that it can infer the congestion levels accurately, highlighting its promise as a ubiquitous travel-support service.

  • CrowdMeter: Congestion Level Estimation in Railway Stations Using Smartphones
    2018 IEEE International Conference on Pervasive Computing and Communications (PerCom), 2018
    Co-Authors: Moustafa Elhamshary, Moustafa Youssef, Akira Uchiyama, Hirozumi Yamaguchi, Teruo Higashino
    Abstract:

    We present CrowdMeter: a participatory system that leverages the sensed data collected from users' phones during their daily train commutes to gauge the real-time congestion level in Railway Stations. CrowdMeter tracks the passenger's position in the station as well as identifies her context (e.g., waiting for a train, buying a ticket) along her trajectory from the station's entrance to the train. Therefrom, CrowdMeter extracts novel features, based on the user's location and context, from the phone sensors. These features capture the passenger's behavior (e.g., the walking pattern) and the ambient environment characteristics (e.g., the ambient sound) that can indicate the surrounding congestion level along the passenger's route in a Railway station. Finally, the system highlights each area of the station with a specific color (green, amber, red) that corresponds to one of a three congestion levels (low, medium, high).Evaluation of CrowdMeter through a field experiment in 10 different train Stations in Japan shows that it can infer the congestion levels accurately, highlighting its promise as a ubiquitous travel-support service.

Jun Ho Cho - One of the best experts on this subject based on the ideXlab platform.

  • assessment of airborne environmental bacteria and related factors in 25 underground Railway Stations in seoul korea
    Atmospheric Environment, 2010
    Co-Authors: Sung Ho Hwang, Chungsik Yoon, Kyong Nam Ryu, Samuel Y Paik, Jun Ho Cho
    Abstract:

    Abstract This study assessed bacterial concentrations in indoor air at 25 underground Railway Stations in Seoul, Korea, and investigated various related factors including the presence of platform screen doors (PSD), depth of the station, year of construction, temperature, relative humidity, and number of passengers. A total of 72 aerosol samples were collected from all the Stations. Concentrations of total airborne bacteria (TAB) ranged from not detected (ND) to 4997 CFU m−3, with an overall geometric mean (GM) of 191 CFU m−3. Airborne bacteria were detected at 23 Stations (92%) and Gram-negative bacteria (GNB) were detected at two Stations (8%). TAB concentrations of four Stations (16%) exceeded 800 CFU m−3, the Korea indoor bio-aerosol guideline. The results of the study showed that TAB concentrations at the Stations without PSD showed higher TAB concentrations than those with PSD, though not at statistically significant levels. TAB concentrations of deeper Stations revealed significantly higher levels than those of shallower Stations. Based on this study, it is recommended that mitigation measures be applied to improve the indoor air quality (IAQ) of underground Railway Stations in Seoul, with focused attention on deeper Stations.

Piet Rietveld - One of the best experts on this subject based on the ideXlab platform.

  • do cities deserve more Railway Stations the choice of a departure Railway station in a multiple station region
    Journal of Transport Geography, 2014
    Co-Authors: Moshe Givoni, Piet Rietveld
    Abstract:

    Promoting the use of rail is an important element in sustainable transport policy. One of the most important decisions to make in planning the Railway network is on the number of Stations to provide. Stations are the access points to rail services and while each additional station increases rail’s accessibility it also slows the service for those not using a particular station thereby making rail less attractive. In most large cities there are several, often many, Railway Stations, and understanding how passengers choose a departure station is important for planning the number of Railway Stations in a particular urban region and for understanding how the urban transport network provides access to different Stations. Using the Dutch Railways (NS) customer satisfaction survey, a discrete choice analysis is carried out of the choice of a departure station, out of 11 available, by passengers living in the Amsterdam region. The results confirm the importance of the access journey to the station in determining the overall (dis)utility from travelling by rail. The welfare effect of closing a station in the Amsterdam area is computed by using the logsum approach, leading to the conclusion that it would not be beneficial to reduce the number of Stations in Amsterdam. This suggests that increasing the number of Stations where trains stop may well be welfare improving for the Amsterdam region. The paper concludes by advocating for an integrated analysis of rail and local public transport services, and for an integrated planning of inter-city rail and urban public transport networks, with focus on the number of rail Stations within the urban area.

  • The Impact of Railway Stations on Residential and Commercial Property Value: A Meta-analysis
    The Journal of Real Estate Finance and Economics, 2007
    Co-Authors: Ghebreegziabiher Debrezion, Eric Pels, Piet Rietveld
    Abstract:

    Railway Stations function as nodes in transport networks and places in an urban environment. They have accessibility and environmental impacts, which contribute to property value. The literature on the effects of Railway Stations on property value is mixed in its finding in respect to the impact magnitude and direction, ranging from a negative to an insignificant or a positive impact. This paper attempts to explain the variation in the findings by meta-analytical procedures. Generally the variations are attributed to the nature of data, particular spatial characteristics, temporal effects and methodology. Railway station proximity is addressed from two spatial considerations: a local station effect measuring the effect for properties with in 1/4 mile range and a global station effect measuring the effect of coming 250 m closer to the station. We find that the effect of Railway Stations on commercial property value mainly takes place at short distances. Commercial properties within 1/4 mile rang are 12.2% more expensive than residential properties. Where the price gap between the Railway station zone and the rest is about 4.2% for the average residence, it is about 16.4% for the average commercial property. At longer distances the effect on residential property values dominate. We find that for every 250 m a residence is located closer to a station its price is 2.3% higher than commercial properties. Commuter Railway Stations have a consistently higher positive impact on the property value compared to light and heavy Railway/Metro Stations. The inclusion of other accessibility variables (such as highways) in the models reduces the level of reported Railway station impact.

  • Access to Railway Stations in the Netherlands
    2006
    Co-Authors: Moshe Givoni, Piet Rietveld
    Abstract:

    A rail journey is rarely an end in itself but almost always part of a journey ‘chain’ which include access to and egress from the Railway station. The integration of the rail-journey components is essential to achieving a continuous travel, door-to-door, when using the rail and to make the rail an attractive alternative to car and this requires seamless interchange at the station between the chain elements. The paper focuses on two lines of investigation with regard to the above. First, the perception of Railway Stations and the access journey and their importance in the perception of the Railway journey is analyzed. It is assumed that the perception of the rail journey is a function of the journey generalized costs, the station perception and the quality of the access and egress journeys. Based on the data available the potential of making rail a more attractive mode by improving (through different means) the station perception is examined. The second line of investigation aims to examine how availability of car affects the use of rail and the access to station mode choice. Based on the results the paper discusses the question of how rail use can be increased through facilitating the interchange between different transport modes at Railway Stations.

  • the impact of Railway Stations on residential and commercial property value a meta analysis
    2004
    Co-Authors: Ghebreegziabiher Debrezion, Eric Pels, Piet Rietveld
    Abstract:

    This discussion paper resulted in an article in the Journal of Real Estate Finance and Economics (2006). Volume 35, pages 161-180. Property values are affected by the properties’ physical, accessibility and environmental features. Railway Stations function as nodes in transport networks and places in an urban environment. They have accessibility and environmental impacts, which contribute to property value. The literature on the effects of Railway Stations on property value is mixed in its finding in respect to impact magnitude and direction, ranging from a negative to an insignificant or a positive impact. This paper attempts to explain the variation in the findings by meta-analytical procedures. Generally the variations are attributed to the nature of data, particular spatial characteristics, temporal effects and methodology. The data can vary in relation to the type of property under study. Some indication is found to support the assertion that commercial properties enjoy a higher positive impact compared to residential properties. Commuter Railway Stations have a consistently higher positive impact on the property value compared to light and heavy Railway/Metro Stations. The inclusion of other accessibility variables (such as highways) in the models reduces the level of reported Railway station impact. However this effect becomes insignificant for properties within a quarter-mile of the station, leaving the Railway station as a major accessibility point. Our analysis did not find a significant effect of spatial and temporal factors.

  • The impact of Railway Stations on residential and commercial property value
    2004
    Co-Authors: Ghebreegziabiher Debrezion, Eric Pels, Piet Rietveld
    Abstract:

    Property values are affected by the properties’ physical, accessibility and environmental features. Railway Stations function as nodes in transport networks and places in an urban environment. They have accessibility and environmental impacts, which contribute to property value. The literature on the effects of Railway Stations on property value is mixed in its finding in respect to impact magnitude and direction, ranging from a negative to an insignificant or a positive impact. This paper attempts to explain the variation in the findings by meta-analytical procedures. Generally the variations are attributed to the nature of data, particular spatial characteristics, temporal effects and methodology. The data can vary in relation to the type of property under study. Some indication is found to support the assertion that commercial properties enjoy a higher positive impact compared to residential properties. Commuter Railway Stations have a consistently higher positive impact on the property value compared to light and heavy Railway/Metro Stations. The inclusion of other accessibility variables (such as highways) in the models reduces the level of reported Railway station impact. However this effect becomes insignificant for properties within a quarter-mile of the station, leaving the Railway station as a major accessibility point. Our analysis did not find a significant effect of spatial and temporal factors.

Moustafa Elhamshary - One of the best experts on this subject based on the ideXlab platform.

  • crowdmeter gauging congestion level in Railway Stations using smartphones
    Pervasive and Mobile Computing, 2019
    Co-Authors: Moustafa Elhamshary, Moustafa Youssef, Akira Uchiyama, Hirozumi Yamaguchi, Akihito Hiromori, Teruo Higashino
    Abstract:

    Abstract We present CrowdMeter: a participatory system that leverages the sensed data collected from users’ phones during their daily train commutes to gauge the real-time congestion level in Railway Stations. CrowdMeter tracks the passenger’s position in the station as well as identifies her/his context (e.g., waiting for a train, buying a ticket) along with her trajectory from the station’s entrance to the train. Therefrom, CrowdMeter extracts novel features, based on the user’s location and context, from the phone sensors. These features capture the passenger’s behavior (e.g., the walking pattern) and the ambient environment characteristics (e.g., the ambient sound) that can indicate the surrounding congestion level along the passenger’s route in a Railway station. CrowdMeter utilizes the passengers’ contexts to show the congestion level for each area such as crowd density in passageways and the queue length of ticketing machines. Both passengers and operators can easily recognize the more and less congested areas, which helps to support proper decision making in their trips and smarter guidance of crowds. Evaluation of CrowdMeter through a field experiment in 29 different train Stations in Japan shows that it can infer the congestion levels accurately, highlighting its promise as a ubiquitous travel-support service.

  • CrowdMeter: Congestion Level Estimation in Railway Stations Using Smartphones
    2018 IEEE International Conference on Pervasive Computing and Communications (PerCom), 2018
    Co-Authors: Moustafa Elhamshary, Moustafa Youssef, Akira Uchiyama, Hirozumi Yamaguchi, Teruo Higashino
    Abstract:

    We present CrowdMeter: a participatory system that leverages the sensed data collected from users' phones during their daily train commutes to gauge the real-time congestion level in Railway Stations. CrowdMeter tracks the passenger's position in the station as well as identifies her context (e.g., waiting for a train, buying a ticket) along her trajectory from the station's entrance to the train. Therefrom, CrowdMeter extracts novel features, based on the user's location and context, from the phone sensors. These features capture the passenger's behavior (e.g., the walking pattern) and the ambient environment characteristics (e.g., the ambient sound) that can indicate the surrounding congestion level along the passenger's route in a Railway station. Finally, the system highlights each area of the station with a specific color (green, amber, red) that corresponds to one of a three congestion levels (low, medium, high).Evaluation of CrowdMeter through a field experiment in 10 different train Stations in Japan shows that it can infer the congestion levels accurately, highlighting its promise as a ubiquitous travel-support service.