Investigating Travel Behavior of Nondriving Blind and Vision Impaired People: The Role of Public Transit

Our purpose is to explore the travel behavior of blind or vision impaired people, focusing in particular on travel by bus. We differentiate the sample depending on the availability of a household car. We examine perceptions of and attitudes toward existing transit and various transit characteristics, highlighting features that seem to be frustrating or difficult. Finally, we have travelers evaluate the potential usefulness of various assistive devices, including electronic information that gives navigational assistance.     

The benefits of a high-resolution analysis of transit accessibility

Accessibility is an important consideration in sustainable mobility policies, particularly for transit users. Measures suggested in the literature are based on coarse aggregate spatial resolution of traffic analysis zones that is sufficient for managing car travels only. To reflect a human door-to-door travel, transit accessibility demands an explicit view of the location of origin, transit stops and destination, as well as of the temporal fit between transit lines timetable and traveler’s needs. We thus estimate transit accessibility based on mode-specific travel times and corresponding paths, including walking and waiting, at the resolution of individual buildings and stops. Car accessibility is estimated at a high resolution too. A novel representation of transit network as a graph is proposed. This representation includes all modal components of a transit travel – walking, waiting at a stop, transit ride, transfers between lines, thus enabling unified view of a travel, regardless of mode. The use of modern high-performance graph database allows construction of high-resolution accessibility maps for an entire metropolitan area with its 100–200 K buildings. The application is tested and applied in a case study involving the evaluation of the 2011 bus line reform in the city of Tel Aviv. Specifically, we demonstrate that while the reform increased the average accessibility for the entire city the increase was not uniform with different areas of the city experiencing different absolute accessibility by transit and relative accessibility in comparison to car travel. The bus reform did in fact benefit travelers that experienced low relative accessibility, but the benefits are mainly accruing to longer trips. Our approach and computational methods can be employed for directly investigating the impacts of transportation infrastructure investments.     

广州市地铁对常规公交出行成本影响及其空间公平性研究

从时间与费用两个角度研究广州市地铁建设对公共交通可达性的影响及其影响的空间公平性。结果表明:① 加权时间与费用可达性均形成“核心-外围”的空间格局。通地铁后,南部郊区加权时间可达性变化率较大,花都区变化率最低;加权费用可达性高变率地区集中在地铁沿线及边缘地区。② 不乘地铁情境下,CBD等时圈呈同心圆状,80％的居民在50 min以及2元钱花费内能到达最近的商业综合体。乘地铁情境下等时圈沿着地铁网络延伸与扩散,80％的居民在30 min以及5元钱以内能到达最近的商业综合体。③ 无论是否乘坐地铁,出行时间的不公平程度都高于出行费用的不公平程度。番禺区的社区从地铁网络中时间可达性获益最多,最不公平的是白云区的社区,其绝对和相对变化较低;中心城区由于常规公交网络发达,地铁缩短的绝对出行时间较少,而变化率高。地铁对城市内中远距离出行性价比的影响最明显。     

Quantifying multi-modal public transit accessibility for large metropolitan areas: a time-dependent reliability modeling approach

The temporal dimensions of public transit accessibility have recently garnered an increasing amount of interest. However, the existing literature on transit accessibility is heavily based on oversimplified assumptions that transit services operate at deterministic speeds using predetermined timetables. These measurements may overestimate transit accessibility, especially for large metropolitan areas where inter- and intra-modal transfers are frequent. To handle travel time uncertainty, a multi-modal transit accessibility modeling approach is proposed to account for realistic variations in travel time and service reliability. The proposed approach is applied to the mapping of transit accessibility in Shenzhen (China), where transit services exhibit significant travel time variations over space and time. Compared to traditional transit accessibility measures, our method has been demonstrated to better capture intrinsic spatial and temporal accessibility variations with complex multi-modal transit networks. Normal distribution of inter-stop travel times and constant travel speed between GPS sampling points are assumed to simply the computation, which we consider to adjust in future studies to better quantify the dynamics of transit accessibility across space and time.     

Identifying primary public transit corridors using multi-source big transit data

ABSTRACT

Effective public transit planning needs to address realistic travel demands, which can be illustrated by corridors across major residential areas and activity centers. It is vital to identify public transit corridors that contain the most significant transit travel demand patterns. We propose a two-stage approach to discover primary public transit corridors at high spatio-temporal resolutions using massive real-world smart card and bus trajectory data, which manifest rich transit demand patterns over space and time. The first stage was to reconstruct chained trips for individual passengers using multi-source massive public transit data. In the second stage, a shared-flow clustering algorithm was developed to identify public transit corridors based on reconstructed individual transit trips. The proposed approach was evaluated using transit data collected in Shenzhen, China. Experimental results demonstrated that the proposed approach is a practical tool for extracting time-varying corridors for many potential applications, such as transit planning and management.     

Getting Charlie off the MTA: a multiobjective optimization method to account for cost constraints in public transit accessibility metrics

Most analyses of accessibility by public transit have focused on travel time and not considered the cost of transit fares. It is difficult to include fares in shortest-path algorithms because fares are often path-dependent. When fare policies allow discounted transfers, for example, the fare for a given journey segment depends on characteristics of previous journey segments. Existing methods to characterize tradeoffs between travel time and monetary cost objectives do not scale well to complex networks, or they rely on approximations. Additionally, they often require assumed values of time, which may be problematic for evaluating the equity of service provision. We propose a new method that allows us to find Pareto sets of paths, jointly minimizing fare and travel time. Using a case study in greater Boston, Massachusetts, USA, we test the algorithm’s performance as part of an interactive web application for computing accessibility metrics. Potential extensions for journey planning and route choice models are also discussed.     

全域规划视角城市轨道交通与其他交通方式衔接研究进展

采用文献梳理法对中国知网刊载以城市轨道交通为主题期刊文献进行分析,发现国内研究集中在：（1）轨道交通与常规公交、慢行交通体系、出租车、私家车、大型机场等间的换乘组织与连接规划;（2）城市轨道交通网络内部的换乘与衔接,及轨道交通站点空间组织等领域研究;（3）国内研究聚焦在各式交通方式衔接规划及城市路网为主的硬件建设等,但较少关注各类群体出行行为模式及其对交通方式换乘规划影响等。最后展望了中国大城市进入老龄化社会需要关注的轨道换乘研究方向。     

Market segmentation and its applications intransit industry

1IntroductionThedeclinesofpositridersltiphavebecomegeneralizedtrendsaroundtheworld.TheresultSleadtorapidgroaningovenunentalsubsidiesandgreatdeficitsontheaccountofhallSitoperators.Inonerecentsurveyof147transitagencies,threeoutoftenagenciesreportedthatinthepastthreeyears.riderslilpontheirSystemhaddecreased.Illanothersurveyofmorethan200~itagenciesintheUnitedStates.44%ofallmanagerssaidridership--PAncularlytheproblemofdecliningridershjp--isoneofthemostimportantcurrentissuesfortheiragenCy.Evenfi…     

厦漳泉城市群小时交通圈研究

本文基于2014年厦漳泉城市群交通网络数据和调查数据,采用问卷调查确定城内交通时间及交通时间满意度时间阈值,应用凸壳理论划分城际理论小时交通圈,继而利用城内交通时间修正城际理论小时交通圈,生成城际实际小时交通圈,并结合百度地图划分基于交通时间满意度的城内小时交通圈。研究结果表明：①城际理论小时交通圈均超过本市域范围,而厦门、漳州和泉州各城市城际实际小时交通圈面积相较于城际理论小时交通圈大幅缩小,缩小幅度分别为91.7%、82.9%、83.9%,覆盖区域主要为各自市域范围;②受访者城内交通时间为31~61 min;而使用公交车通常需60 min以上到达汽车站、90 min以上到达动车站,处于不满意甚至很不满意的时间阈值内,其中非常不满意占主导地位;③67.71%的受访者对城际交通时间表示很满意或满意,但69.1%受访者对城内交通时间表示很不满意或不满意。厦漳泉城市群城内交通系统有待改善,建议应完善厦漳泉交通网络尤其是城内交通网络。     

轨道站点周边建成环境对残疾人出行行为的影响研究——以武汉市189个轨道站点为例

残疾人流动性是衡量社会公平发展的重要方面。由于特殊的身体和社会经济状况,残疾人出行行为具有更为独特的特征,也更易受建成环境影响。论文基于武汉市轨道交通智能刷卡数据,整合多源空间大数据,探索武汉市残疾人轨道交通出行时空特征,并利用地理加权回归(GWR)模型进一步探究轨道交通站点周边建成环境对轨道交通残疾人客流量影响的空间异质性。研究发现：① 地铁出行的残疾人中有29.7%具有通勤出行的特征,出行频率工作日高于休息日,且均呈现早晚错峰出行的趋势;② 15~30 min即大约5~10 km的中短距离出行最多,活动范围集中于三环线以内的主城区,且以同区出行活动最为频繁,跨江出行较少;③ 在大部分的研究范围内,公交站点密度、路网密度、大型公园密度和站点开通时间对站点残疾人客流量均具有正向影响;④ 换乘站的日均残疾人客流量明显高于非换乘站;⑤ 与以往研究结论不同的是,土地利用混合度、站点无障碍设施对站点残疾人客流量的影响并不显著。研究可为“残疾人友好型”的轨道交通站点建成环境优化和新站点土地利用布局提供数据支撑,增强城市公共服务人本化。     

THE IMPACT OF FEDERAL LOCAL PUBLIC TRANSPORTATION ASSISTANCE UPON TRAVEL BEHAVIOR

Despite substantial amounts of federal assistance to local public transportation, ridership has declined considerably in the country as a whole since 1964, suggesting an ineffective government program. A city-by-city comparison of assistance received with changes in transit ridership shows that declines in transit usage were least in cities receiving the most federal aid, and greatest in cities receiving the least aid. This demonstrates that federal aid has had an impact upon travel behavior. Indeed, it is the single most important factor explaining differences between cities in travel behavior changes in the 1970's.     

THE IMPACT OF FEDERAL LOCAL PUBLIC TRANSPORTATION ASSISTANCE UPON TRAVEL BEHAVIOR

Despite substantial amounts of federal assistance to local public transportation, ridership has declined considerably in the country as a whole since 1964, suggesting an ineffective government program. A city-by-city comparison of assistance received with changes in transit ridership shows that declines in transit usage were least in cities receiving the most federal aid, and greatest in cities receiving the least aid. This demonstrates that federal aid has had an impact upon travel behavior. Indeed, it is the single most important factor explaining differences between cities in travel behavior changes in the 1970's.     

Neighborhood-scale urban form,travel behavior,and CO2 emissions in Beijing: implications for low-carbon urban planning

With an increasing awareness of global climate change, the effect of urban spatial organization, at both city and neighborhood scales, on urban CO₂ emission reduction has attracted much scholarly and practical attention. Using Beijing as a case study, this article examines the extent to which neighborhood-scale urban form may contribute to reduction of travel-related CO₂ emissions in the context of rapid urbanization and spatial transformation. We derive complete travel-activity records of 1,048 residents from an activity diary survey conducted in 2007. Analysis using structural equation models finds that residents living in a neighborhood with higher land use mix, public transit accessibility, and more pedestrian-friendly street design tend to travel in a “low-carbon” manner and emit less CO₂ in daily travel, even controlling for residential and travel preferences. This article offers empirical evidence that sheds light on debates about policy measures to facilitate China’s transition toward sustainable and low-carbon urban development.     

城市商务人士的行为活动特征

移动信息技术的使用和快速交通技术的出现对商务人士行为活动产生了较大影响。在这一新的技术背景下,商务活动的特征研究值得关注。以医疗器械行业某跨国公司的南京销售团队为例,采用GPS技术、活动日志、深度访谈等方法,获取该团队11位成员在连续7个工作日内的时空数据。经描述分析和模型分析发现:① 在商务活动过程中,快速交通技术和移动信息技术的使用具有共变关系,使承载商务活动的空间成为流空间的外在表现形式。② 交通技术间接影响商务活动,但影响程度比信息技术使用大,导致商务活动的空间破碎化。③ 信息技术使用对商务活动的影响是多方面的,包括直接影响和间接影响,具体表现在商务活动的时间破碎化。     

北京公交就业可达性及其地区和人群差异

运用经济普查、人口普查数据和基于百度地图的公交出行时间数据,分析北京都市区基于公共交通的就业可达性及其在城市不同人群和地区间的差异。结果表明：北京都市区的居民可在60分钟内通过公共交通到达18.3%的都市区工作岗位,这比美国100个最大的都市区的平均就业可达性水平要高,接近于美国纽约都市区的就业可达性水平。同时,由于就业郊区化程度有限和以中心—放射式布局的公交网络,北京都市区内的公交就业可达性存在着巨大的区域差异,中心城区的就业可达性远远高于郊区。此外,人口居住的郊区化程度远远高于就业的郊区化程度,导致北京都市区宏观层面的职住不平衡。随着人口居住郊区化程度的提高,公共交通如何服务居住日益分散的人口,提高就业可达性,是一项巨大的挑战。研究还发现,由于城市中心区的大部分就业为高技术的就业岗位,因此高受教育程度人口能更多地享受目前公共交通系统的便利,而受教育程度低的人口和外来人口公交就业可达性较低。为解决弱势群体所面临的就业可达性的不平等问题,需要更多的规划与政策干预。     

Youth Mobility and Territorial Disparities: An Analysis of Urban and Rural Barcelona

Travel behavior of the present generation of youths is being increasingly explored due to their relevance in shaping future accessibility needs and mobility habits. The present study offers an original perspective on this topic by identifying territorial disparities that emerge in youth mobility patterns in rural and urban areas. Unlike most previous research, we propose taking a global view on mobility by analyzing all trip purposes and transportation modes. This is conducted by analyzing a comprehensive mobility survey in the Barcelona Metropolitan Region, which provides data on mobility engagement, trip purposes, modal split, travel times and territorial differences. In general, youngsters account for larger daily travel times than older adults, present a higher attachment to public transportation and walk less on a daily basis. These differences are enhanced in rural territories, where while older adults overcome accessibility issues with higher use of the private vehicle, youngsters are more likely to invest larger travel times on transit.     

Comparing Measures of Accessibility to Urban Supermarkets for Transit and Auto Users

Research on access to healthy foods often emphasizes the spatial proximity of residents to food stores like supermarkets as a way to gauge overall accessibility. Much of the literature has focused on locating the closest facility, assuming that access to one food store is sufficient. Given evidence that access to multiple healthy food stores can improve diets, however, this article examines how closest facility measures differ from cumulative opportunity accessibility measures across space in a medium-sized U.S. city. Differences in access between automobile and transit riders, using realistic travel time costs, are also considered. Results demonstrate that the two types of accessibility measures produce different accessibility geographies and that there are disparities in access for those dependent on transit. These findings indicate that researchers should carefully consider whether access to one supermarket opportunity is enough and pay special attention to the mode residents rely on to access food.     

建成环境对北京市郊区居民工作日汽车出行的影响

郊区化导致的汽车出行增加及相关的城市环境与社会问题日益成为城市研究关注的焦点,但目前国内对建成环境与汽车出行行为的研究刚刚起步。基于GPS与活动日志相结合的居民一周活动与出行数据,利用GIS空间分析分别以居住地、工作地和活动空间作为地理背景,分析建成环境对于郊区居民汽车出行距离的影响因素。研究发现,建成环境对工作日汽车出行的影响因地理背景的选择而有不同。整日出行受到工作地和活动空间的影响,工作地与活动空间建设密度增高汽车出行减少,但是居住空间的影响不显著;通勤出行受到居住地、工作地和活动空间的影响,居住地商业密度提高和建设密度降低、工作地和活动空间建设密度提高,汽车出行减少;非工作活动出行也受到居住地、工作地和活动空间的影响,居住地、工作地和活动空间的公交密度低、工作地和活动空间建设密度高,汽车出行少。基于研究结果,本文对地理背景不确定性问题进行了探讨,提出出行行为的研究需要考虑居住地以外其他地理背景的影响,并对控制汽车使用的公共政策提出了建议。     

How do changes in the daily food and transportation environments affect grocery store accessibility?

A healthy food environment is an important component in helping people access and maintain healthy diets, which may reduce the prevalence of chronic disease. With few exceptions, studies on healthy food access in urban regions typically ignore how time of day impacts access to food. Similarly, most extant research ignores the complexities of accounting for the role of transportation in spatial access. Examining healthy food access is important, especially for populations whose day-to-day schedules do not align with a typical work schedule. This study profiles novel methods that can be used to examine the daily dynamics of food access in Toronto, Ontario, using grocery stores as a case study to examine the changing geographies of food access over a 24-h period, and the impact of a changing public transit schedule on food access. Walking and automobile travel times are also reported. Results indicate that access to grocery stores is severely diminished for large parts of the city in the late night and early morning, and that public transit travel times are higher and more variable in the early morning hours. Ultimately, this research demonstrates the need for further study on how residents with nonconventional schedules experience, and are affected by, the dynamic food and transportation environments. Future research should build upon the methods presented here to include a broader range of food retailers.     

A context-aware personalized travel recommendation system based on geotagged social media data mining

The proliferation of digital cameras and the growing practice of online photo sharing using social media sites such as Flickr have resulted in huge volumes of geotagged photos available on the Web. Based on users' traveling preferences elicited from their travel experiences exposed on social media sites by sharing geotagged photos, we propose a new method for recommending tourist locations that are relevant to users (i.e., personalization) in the given context (i.e., context awareness). We obtain user-specific travel preferences from his/her travel history in one city and use these to recommend tourist locations in another city. Our technique is illustrated on a sample of publicly available Flickr dataset containing photos taken in various cities of China. Results show that our context-aware personalized method is able to predict tourists' preferences in a new or unknown city more precisely and generate better recommendations compared to other state-of-the-art landmark recommendation methods.