Page 52 - 捷運技術 第57期
P. 52

Journal of Rapid Transit System and Technology No.57
            pp. 41-76, 2022                                   DOI 10.29670/JRTST.202210_(57).0003




            Received June 11, 2022, accepted October 31, 2022, date of publication October 31, 2022



                      Exploring the Relationship between the
                 Connectivity of the Pedestrian Network



                 Structure Around the MRT Station and the
                                   Carbon Intensity





            CHIANUNG LI , YIKAI HSIEH   2
                          1
            1  Department of Natural Resources, Chinese Culture University, Taipei City, Taiwan 11114
            2  Department of Natural Resources, Chinese Culture University, Taipei City, Taiwan 11114
            Corresponding authors: CHIANUNG LI, E-mail: ljn@ulive.pcuu.edu.tw; YIKAI HSIEH, E-mail:
            xyk2@ulive.pcuu.edu.tw



                                              ABSTRACT


            Over the past 26 years, the Taipei MRT has gradually changed people's daily
            transportation habits. For example, in 2019 (before the outbreak of the new crown
            epidemic), the average daily transportation volume exceeded 2.16 million
            passengers, making it a means of transportation that people rely on. Therefore,
            more and more attention has been paid to the connectivity of the pedestrian
            network around the MRT station. Especially with the development of vertical and
            three-dimensional hybrids, the pedestrian environment in the interior space of the
            MRT station is more often used by pedestrians. After the space, there will be
            continuous routing behavior, and the convenience of walking will inevitably cause
            the impact of different carbon concentrations, which will not only cause differences
            in path selection, but also change the phenomenon of crowd gathering.
            Accordingly, this study takes the structure of the pedestrian network inside Banqiao
            Station as the research object, and uses Space Syntax to analyze the relationship
            between the structure of the pedestrian network in the MRT station and the carbon
            concentration. From the research results, it is found that the places with the most
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