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Journal articles on the topic 'Measuring accessibility'

Author: Grafiati

Published: 29 June 2021

Last updated: 1 February 2022

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1

Cheng, Jianquan, Luca Bertolini, and Frank le Clercq. "Measuring Sustainable Accessibility." Transportation Research Record: Journal of the Transportation Research Board 2017, no. 1 (January 2007): 16–25. http://dx.doi.org/10.3141/2017-03.

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2

Wu, Yongqing. "Coordinate measuring machine probing accessibility." Chinese Journal of Mechanical Engineering (English Edition) 14, no. 01 (2001): 45. http://dx.doi.org/10.3901/cjme.2001.01.045.

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3

Páez, Antonio, Darren M. Scott, and Catherine Morency. "Measuring accessibility: positive and normative implementations of various accessibility indicators." Journal of Transport Geography 25 (November 2012): 141–53. http://dx.doi.org/10.1016/j.jtrangeo.2012.03.016.

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4

Saghapour, Tayebeh, Sara Moridpour, and Russell G. Thompson. "Measuring Walking Accessibility in Metropolitan Areas." Transportation Research Record: Journal of the Transportation Research Board 2661, no. 1 (January 2017): 111–19. http://dx.doi.org/10.3141/2661-13.

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5

Møller-Jensen, Lasse, Richard Y. Kofie, and Albert N. M. Allotey. "Measuring accessibility and congestion in Accra." Norsk Geografisk Tidsskrift - Norwegian Journal of Geography 66, no. 1 (February 2012): 52–60. http://dx.doi.org/10.1080/00291951.2011.644322.

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6

Saghapour, Tayebeh, Sara Moridpour, and Russell G. Thompson. "Measuring cycling accessibility in metropolitan areas." International Journal of Sustainable Transportation 11, no. 5 (November 28, 2016): 381–94. http://dx.doi.org/10.1080/15568318.2016.1262927.

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7

Fatima, Kaniz, and Sara Moridpour. "Measuring Public Transport Accessibility for Elderly." MATEC Web of Conferences 259 (2019): 03006. http://dx.doi.org/10.1051/matecconf/201925903006.

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The growth acceleration in the older population has been observed in many countries which creates a significant challenge to transportation. Public transport is an essential component of most people’s lives. This specific group of population growth will require special attention to accessibility and mobility issues in combination with the transport system which undoubtedly can play a key role to support ageing. Good health, quality of life and independence are fundamental values for the life as well as mobility. For people such as senior citizens, public transport needs to be accessible and affordable in order to provide them with the opportunity to fulfil their medical, shopping and recreational needs. Providing access to transport for people with age 65 & over is not a marginal problem and it is expected to grow in the future. The most important concern in accessibility is the relatively short distance and high frequency movements from a permanent home. This study will identify the travel pattern & mode for elderly commuters in greater Melbourne, Australia. The study will also suggest strategies to improve the use of public transport system to promote ageing in place.

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8

Piovani, Duccio, Elsa Arcaute, Gabriela Uchoa, Alan Wilson, and Michael Batty. "Measuring accessibility using gravity and radiation models." Royal Society Open Science 5, no. 9 (September 2018): 171668. http://dx.doi.org/10.1098/rsos.171668.

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Since the presentation of the radiation model, much work has been done to compare its findings with those obtained from gravitational models. These comparisons always aim at measuring the accuracy with which the models reproduce the mobility described by origin–destination matrices. This has been done at different spatial scales using different datasets, and several versions of the models have been proposed to adjust to various spatial systems. However, the models, to our knowledge, have never been compared with respect to policy testing scenarios. For this reason, here we use the models to analyse the impact of the introduction of a new transportation network, a bus rapid transport system, in the city of Teresina in Brazil. We do this by measuring the estimated variation in the trip distribution, and formulate an accessibility to employment indicator for the different zones of the city. By comparing the results obtained with the two approaches, we are able to not only better assess the goodness of fit and the impact of this intervention, but also understand reasons for the systematic similarities and differences in their predictions.

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9

Church, Richard L., and James R. Marston. "Measuring Accessibility for People with a Disability." Geographical Analysis 35, no. 1 (2003): 83–96. http://dx.doi.org/10.1353/geo.2002.0029.

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10

Wu, Yongqing, Shugui Liu, and Guoxiong Zhang. "Improvement of coordinate measuring machine probing accessibility." Precision Engineering 28, no. 1 (January 2004): 89–94. http://dx.doi.org/10.1016/s0141-6359(03)00080-1.

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11

Laquidara, Matthew. "Measuring Spontaneous Accessibility for Iterative Transit Planning." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 8 (June 17, 2018): 485–96. http://dx.doi.org/10.1177/0361198118780834.

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12

Church, Richard L., and James R. Marston. "Measuring Accessibility for People with a Disability." Geographical Analysis 35, no. 1 (January 2003): 83–96. http://dx.doi.org/10.1111/j.1538-4632.2003.tb01102.x.

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13

Handy, S. L., and D. A. Niemeier. "Measuring Accessibility: An Exploration of Issues and Alternatives." Environment and Planning A: Economy and Space 29, no. 7 (July 1997): 1175–94. http://dx.doi.org/10.1068/a291175.

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Accessibility is an important characteristic of metropolitan areas and is often reflected in transportation and land-use planning goals. But the concept of accessibility has rarely been translated into performance measures by which policies are evaluated, despite a substantial literature on the concept. This paper is an attempt to bridge the gap between the academic literature and the practical application of such measures and provide a framework for the development of accessibility measures. Issues that planners must address in developing an accessibility measure are outlined, and two case studies suggestive of the range of possible approaches are presented.

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14

Nurhaeny, Andiah, Miming Miharja, Pradono, and Puspita Dirgahayani. "Measuring accessibility and island development in Ambon City." Island Studies Journal 16, no. 1 (May 2021): 373–87. http://dx.doi.org/10.24043/isj.157.

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Island studies has thus far mostly focused on the limitations, isolation and marginality of island communities. However, recent research into island cities, or urban island studies, provides an analytic lens or research perspective that can be used to understand an island’s diversity and to encourage researchers to identify island characteristics that have an impact on the function of cities and population centers on islands. One of the factors that inhibit the development of island cities is the limited availability of land area and resources, causing island city regions to depend on other regions to fulfill the population’s needs and provide basic services to the population, which puts islands in a vulnerable position because of transportation accessibility problems. This study was conducted using the Transit Opportunity Index (TOI) method to observe the relationship between transportation accessibility and economic growth in island city regions. The result of the analysis showed that transportation accessibility indirectly affects economic growth in every district/city in Maluku Province. Sea transportation accessibility better illustrates the condition of transportation accessibility of Ambon City and other districts/cities in Maluku Province compared to sea and air transportation accessibility.

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15

Lewis-Workman, Steven, and Daniel Brod. "Measuring the Neighborhood Benefits of Rail Transit Accessibility." Transportation Research Record: Journal of the Transportation Research Board 1576, no. 1 (January 1997): 147–53. http://dx.doi.org/10.3141/1576-19.

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For many Americans, living near high-quality rail transit stations provides an array of benefits. The benefits arise from lower transportation expenses, changing development patterns, and other nonuse factors. Automobile-centered development patterns increase congestion, sprawl, and pollution. The benefits of transit-oriented neighborhoods are explored. A hedonic price function is used to estimate property values and the effect of proximity to rail transit stations. Geographical information system databases were used to calculate actual walking distances to transit, providing a much more accurate measure of the “proximity” variable than the usual measure of straight-line distance. The results indicate that proximity to rail transit stations can be a significant source of benefit to residents within walking distance. Whereas light rail transit stations in Portland, Oregon, indicate minimal effects, the magnitude of the benefits for the Bay Area Rapid Transit and New York City Metropolitan Transportation Authority stations, when compared with standard measures of transit benefits, indicate that benefits from transit exceed those attributable to transit use.

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16

Kilinc, Mehmet Serdar, Ashlea Bennett Milburn, and Jessica L. Heier Stamm. "Measuring potential spatial accessibility of home healthcare services." Socio-Economic Planning Sciences 59 (September 2017): 13–25. http://dx.doi.org/10.1016/j.seps.2016.09.007.

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17

Fatima, Kaniz, Sara Moridpour, Chris De Gruyter, and Tayebeh Saghapour. "Measuring Active Transport Accessibility for Elderly in Melbourne." Journal of Transport & Health 14 (September 2019): 100700. http://dx.doi.org/10.1016/j.jth.2019.100700.

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18

Chen, Bi Yu, Hui Yuan, Qingquan Li, Donggen Wang, Shih-Lung Shaw, Hui-Ping Chen, and William H. K. Lam. "Measuring place-based accessibility under travel time uncertainty." International Journal of Geographical Information Science 31, no. 4 (September 29, 2016): 783–804. http://dx.doi.org/10.1080/13658816.2016.1238919.

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19

Schul, Yaacov, and Miriam Schiff. "Measuring Satisfaction With Organizations: Predictions from Information Accessibility." Public Opinion Quarterly 57, no. 4 (1993): 536. http://dx.doi.org/10.1086/269394.

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20

Arranz-López, Aldo, Julio A. Soria-Lara, Frank Witlox, and Antonio Páez. "Measuring relative non-motorized accessibility to retail activities." International Journal of Sustainable Transportation 13, no. 9 (September 5, 2018): 639–51. http://dx.doi.org/10.1080/15568318.2018.1498563.

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21

Iacono, Michael, Kevin J. Krizek, and Ahmed El-Geneidy. "Measuring non-motorized accessibility: issues, alternatives, and execution." Journal of Transport Geography 18, no. 1 (January 2010): 133–40. http://dx.doi.org/10.1016/j.jtrangeo.2009.02.002.

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22

Beria, Paolo, Andrea Debernardi, and Emanuele Ferrara. "Measuring the long-distance accessibility of Italian cities." Journal of Transport Geography 62 (June 2017): 66–79. http://dx.doi.org/10.1016/j.jtrangeo.2017.05.006.

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23

Ferrari, Laura, Michele Berlingerio, Francesco Calabrese, and Bill Curtis-Davidson. "Measuring Public-Transport Accessibility Using Pervasive Mobility Data." IEEE Pervasive Computing 12, no. 1 (2013): 26–33. http://dx.doi.org/10.1109/mprv.2012.81.

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24

Pandya, Rajesh J. "Measuring Transit Accessibility Potential: A Corridor Case Study." IOSR Journal of Mechanical and Civil Engineering 2, no. 5 (2012): 14–19. http://dx.doi.org/10.9790/1684-0251219.

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25

Yoxall, A., and J. Rowson. "Talking about Torque: Measuring Pack Accessibility - a Review." Packaging Technology and Science 28, no. 1 (April 24, 2014): 1–14. http://dx.doi.org/10.1002/pts.2079.

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26

Zeng, Li, and Ronnie Peterson. "Measuring Service Accessibility in Telephone Nurse Triage Services." Quality and Reliability Engineering International 30, no. 6 (March 4, 2014): 843–55. http://dx.doi.org/10.1002/qre.1632.

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27

Pleasence, Pascoe, and Nigel Balmer. "Measuring the Accessibility and Equality of Civil Justice." Hague Journal on the Rule of Law 10, no. 2 (August 1, 2018): 255–94. http://dx.doi.org/10.1007/s40803-018-0079-0.

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28

Dai, Te-qi, Zheng-bing Liu, Cong Liao, and Hong-yu Cai. "Incorporating job diversity preference into measuring job accessibility." Cities 78 (August 2018): 108–15. http://dx.doi.org/10.1016/j.cities.2018.02.003.

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29

Lee, Jinhyung, and Harvey J. Miller. "Robust accessibility: Measuring accessibility based on travelers' heterogeneous strategies for managing travel time uncertainty." Journal of Transport Geography 86 (June 2020): 102747. http://dx.doi.org/10.1016/j.jtrangeo.2020.102747.

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30

Fain, W. Bradley, and Dennis J. Folds. "An Approach to Measuring Accessibility of Office Automation Equipment." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 46, no. 24 (September 2002): 1982–86. http://dx.doi.org/10.1177/154193120204602410.

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An accessibility evaluation methodology was developed to support the assessment of electronic and information technology devices. The issues and concerns that were noted during the application of this methodology to the assessment of office automation equipment are discussed. A detailed description of the accessibility evaluation methodology can be obtained at http://hseb.gtri.gatech.edu .

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31

Haitao, Jin, Jin Fengjun, Hao Qing, Zhu He, and Yang Xue. "Measuring Public Transit Accessibility Based On Google Direction API." Open Transportation Journal 13, no. 1 (July 31, 2019): 93–108. http://dx.doi.org/10.2174/1874447801913010093.

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Background: Accessibility is considered as an important indicator for the public transit service level. Transit accessibility is generally evaluated by its distance to transit access points such as bus stops and metro stations, and methods of measuring the access distances to transit points have been relying heavily on geographic data of transit facilities, built environments and pedestrian routes. Data collecting and analyzing are tedious for researchers in conventional approaches. As the application of cloud computing is on the rise, open services provided by Google Cloud Platform may simplify the procedure of accessibility measurement if the outputs of the open computing services could be validated. Aims and Objectives: This paper aims to develop a method of measuring public transit accessibility based on Google Direction API rather than local data analyzing. A mechanism of API (Application Program Interface) probing is introduced. In a case study, the metropolitan area of Beijing was sliced into gridded spaces, with transit access distance of each cell space calculated by Google Direction API. The access distances in the API feedbacks were compared with transit access numbers in each cell area in order to validate the method with their correlation coefficient. Results and Conclusion: It was found that Google Direction API generally gave shorter access distances in cell areas with more public access points. The conclusion is that open cloud services such as Google Direction API may serve as alternative solutions to public transit accessibility measurement. Transit researchers and agencies may take advantage of such open API services to avoid the tediousness of collecting and processing geographic data sets on transit facilities.

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32

Lima, Jessica Helena de, Maurício Oliveira de Andrade, and Maria Leonor Alves Maia. "Measuring accessibility: effects of implementing multiple trip generating developments." Journal of Transport Literature 10, no. 2 (June 2016): 25–29. http://dx.doi.org/10.1590/2238-1031.jtl.v10n2a5.

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33

TANIMOTO, Keishi, and Chikara IWATA. "MEASURING ACCESSIBILITY BY CONSECUTIVE TRIPS TO LIFE SUPPORT SERVICES." Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management) 74, no. 5 (2018): I_453—I_462. http://dx.doi.org/10.2208/jscejipm.74.i_453.

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34

Khakh, Amritpal Kaur, and Victoria Fast. "Measuring Spatial Accessibility of Healthcare Services in Calgary ( poster )." Journal of Transport & Health 7 (December 2017): S13—S14. http://dx.doi.org/10.1016/j.jth.2017.11.023.

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35

Park, Sung Jae. "Measuring public library accessibility: A case study using GIS." Library & Information Science Research 34, no. 1 (January 2012): 13–21. http://dx.doi.org/10.1016/j.lisr.2011.07.007.

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36

Hu, Yujie, and Joni Downs. "Measuring and visualizing place-based space-time job accessibility." Journal of Transport Geography 74 (January 2019): 278–88. http://dx.doi.org/10.1016/j.jtrangeo.2018.12.002.

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37

Christodoulou, Aris, and Panayotis Christidis. "Measuring Cross-Border Road Accessibility in the European Union." Sustainability 11, no. 15 (July 24, 2019): 4000. http://dx.doi.org/10.3390/su11154000.

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Border regions are in the forefront of geographical cohesion of the European Union but often lag behind more central areas on development and connectivity. As transport infrastructure—or rather the lack of it—plays a primary role in this, specific policy measures to improve the quality of road connections and address the overall issues of geographic isolation are often necessary. The methodology presented here provides a set of indicators and tools that allow policy makers to measure accessibility and connectivity of border regions, identify areas where transport infrastructure may be lacking, and prioritize potential investments based on specific policy-relevant criteria. The approach uses very detailed spatially disaggregate data covering EU28 plus Norway and Switzerland at grid level (1 km by 1 km), as well as the complete road network. This level of resolution allows many of the specificities of the areas covered to be taken into account.

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38

Yoxall, A., and J. Rowson. "Note: Talking about Torque: Measuring Pack Accessibility - a Review." Packaging Technology and Science 29, no. 12 (November 22, 2016): 613. http://dx.doi.org/10.1002/pts.2277.

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39

Jernigan, David H., Kelsey Shields, Molly Mitchell, and Amelia M. Arria. "Assessing Campus Alcohol Policies: Measuring Accessibility, Clarity, and Effectiveness." Alcoholism: Clinical and Experimental Research 43, no. 5 (April 8, 2019): 1007–15. http://dx.doi.org/10.1111/acer.14017.

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40

Bisht, Shailendra Singh, Vishal Mishra, and Sanjay Fuloria. "Measuring Accessibility for Inclusive Development: A Census Based Index." Social Indicators Research 98, no. 1 (October 4, 2009): 167–81. http://dx.doi.org/10.1007/s11205-009-9537-3.

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41

Pasaogullari, Nil, and Naciye Doratli. "Measuring accessibility and utilization of public spaces in Famagusta." Cities 21, no. 3 (June 2004): 225–32. http://dx.doi.org/10.1016/j.cities.2004.03.003.

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42

Klumpenhouwer, Willem, and Wei Huang. "A flexible framework for measuring accessibility with destination bundling." Journal of Transport Geography 91 (February 2021): 102949. http://dx.doi.org/10.1016/j.jtrangeo.2021.102949.

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43

Goch, Katarzyna, Szymon Ochota, Monika Piotrkowska, and Zuzanna Kunert. "Measuring dynamic public transit accessibility to local centres in Warsaw." Urban Development Issues 58, no. 1 (July 30, 2018): 29–40. http://dx.doi.org/10.2478/udi-2018-0021.

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Abstract Over the last decade the number of studies on public transit accessibility has significantly increased. The aim of the study was to analyse the scope of application of measurements of the dynamic time accessibility in transportation systems for evaluation purposes. It was assumed that the indicator is a feasible measure for basic analysis however additional indicators are needed for reliable assessment. The study included assessing access to the global centre of Warsaw and to local and district centres in particular units. Public transit accessibility was analysed using schedule-based travel time and the population data statistic. The results of the study confirm the dynamic character of public transit time accessibility and its usefulness as a measure. Spatial and transit barriers were identified in local distribution centres and public transit operation. The work presented in the paper highlights the relevance of the in-depth evaluation of the public transit system in relation to the major congestion problems in Warsaw.

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44

Huang, Helai, Jialing Wu, Fang Liu, and Yiwei Wang. "Measuring Accessibility Based on Improved Impedance and Attractive Functions Using Taxi Trajectory Data." Sustainability 13, no. 1 (December 24, 2020): 112. http://dx.doi.org/10.3390/su13010112.

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Accessibility has attracted wide interest from urban planners and transportation engineers. It is an important indicator to support the development of sustainable policies for transportation systems in major events, such as the COVID-19 pandemic. Taxis are a vital travel mode in urban areas that provide door-to-door services for individuals to perform urban activities. This study, with taxi trajectory data, proposes an improved method to evaluate dynamic accessibility depending on traditional location-based measures. A new impedance function is introduced by taking characteristics of the taxi system into account, such as passenger waiting time and the taxi fare rule. An improved attraction function is formulated by considering dynamic availability intensity. Besides, we generate five accessibility scenarios containing different indicators to compare the variation of accessibility. A case study is conducted with the data from Shenzhen, China. The results show that the proposed method found reduced urban accessibility, but with a higher value in southern center areas during the evening peak period due to short passenger waiting time and high destination attractiveness. Each spatio-temporal indicator has an influence on the variation in accessibility.

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45

Jiang, Shixiong, Wei Guan, Zhengbing He, and Liu Yang. "Measuring Taxi Accessibility Using Grid-Based Method with Trajectory Data." Sustainability 10, no. 9 (September 6, 2018): 3187. http://dx.doi.org/10.3390/su10093187.

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Accessibility has drawn extensive attention from city planners and transportation researchers for decades. With the benefits of large-scale and varying time, this study aims to combine the taxi global positioning system (GPS) data with a cumulative opportunity measure to calculate taxi accessibility in Beijing, China. As traffic conditions vary significantly over time and space, we select four typical time periods and introduce a grid-based method to divide the study area into grid cells. Both the GPS signals and opportunities that include the constant points of interest, total drop-offs, and dynamic drop-offs, are aggregated in these grid cells. The cumulative opportunity measure counts all reachable grid cells within the given travel time threshold, along with the corresponding opportunities. The results demonstrate that the accessibility varies in the four time periods, with better performance seen in the late-night hours. Although the spatial distributions of the three kinds of opportunities are different, these accessibilities show great similarity. In addition, the relative accessibilities of different measures are highly correlated. In general, grid cells with higher accessibilities in one time period are likely to also have higher accessibilities in other time periods. Moreover, the results suggest that taxi accessibility can be measured from its trajectory data only.

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46

Mao, Kainan, Yuehong Chen, Guohao Wu, Junwang Huang, Wanying Yang, and Zelong Xia. "Measuring Spatial Accessibility of Urban Fire Services Using Historical Fire Incidents in Nanjing, China." ISPRS International Journal of Geo-Information 9, no. 10 (October 6, 2020): 585. http://dx.doi.org/10.3390/ijgi9100585.

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The measurement of spatial accessibility of fire services is a key task in enhancing fire response efficiency and minimizing property losses and deaths. Recently, the two-step floating catchment area method and its modified versions have been widely applied. However, the circle catchment areas used in these methods are not suitable for measuring the accessibility of fire services because each fire station is often responsible for the fire incidents within its coverage. Meanwhile, most existing methods take the demographic data and their centroids of residential areas as the demands and locations, respectively, which makes it difficult to reflect the actual demands and locations of fire services. Thus, this paper proposes a fixed-coverage-based two-step floating catchment area (FC2SFCA) method that takes the fixed service coverage of fire stations as the catchment area and the locations and dispatched fire engines of historical fire incidents as the demand location and size, respectively, to measure the spatial accessibility of fire services. Using a case study area in Nanjing, China, the proposed FC2SFCA and enhanced two-step floating catchment area (E2SFCA) are employed to measure and compare the spatial accessibility of fire incidents and fire stations. The results show that (1) the spatial accessibility across Nanjing, China is unbalanced, with relatively high spatial accessibility in the areas around fire stations and the southwest and northeast at the city center area and relatively low spatial accessibility in the periphery and boundary of the service coverage areas and the core of the city center; (2) compared with E2SFCA, FC2SFCA is less influenced by other fire stations and provides greater actual fire service accessibility; (3) the spatial accessibility of fire services is more strongly affected by the number of fire incidents than firefighting capabilities, the area of service coverage, or the average number of crossroads (per kilometer). Suggestions are then made to improve the overall spatial access to fire services.

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47

Wu, Belinda M., and Julian P. Hine. "A PTAL approach to measuring changes in bus service accessibility." Transport Policy 10, no. 4 (October 2003): 307–20. http://dx.doi.org/10.1016/s0967-070x(03)00053-2.

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48

Cheng, Jianquan, and Luca Bertolini. "Measuring urban job accessibility with distance decay, competition and diversity." Journal of Transport Geography 30 (June 2013): 100–109. http://dx.doi.org/10.1016/j.jtrangeo.2013.03.005.

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49

Ferrari, C., F. Parola, and E. Gattorna. "Measuring the quality of port hinterland accessibility: The Ligurian case." Transport Policy 18, no. 2 (March 2011): 382–91. http://dx.doi.org/10.1016/j.tranpol.2010.11.002.

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50

Tal, Gil, and Susan Handy. "Measuring Nonmotorized Accessibility and Connectivity in a Robust Pedestrian Network." Transportation Research Record: Journal of the Transportation Research Board 2299, no. 1 (January 2012): 48–56. http://dx.doi.org/10.3141/2299-06.

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