scholarly journals Smart Region Mobility Framework

2021 ◽  
Vol 13 (11) ◽  
pp. 6366
Author(s):  
Robert Kerwin C. Billones ◽  
Marielet A. Guillermo ◽  
Kervin C. Lucas ◽  
Marlon D. Era ◽  
Elmer P. Dadios ◽  
...  
Keyword(s):  
Information System ◽  
Social Services ◽  
Public Transportation ◽  
Smart City ◽  
Transportation Networks ◽  
Well Being ◽  
Transportation System ◽  
The Philippines ◽  
Urban Setting ◽  
Traveler Information

A smart city describes an urban setting which aims to effectively apply ICT technologies to help improve the well-being of its citizens and reduce the negative impacts of urbanization. The priority areas considered in the Global Smart City Index (SCI) by the Institute for Management Development’s (IMD) World Competitiveness Centre were key infrastructures and technologies in (1) health and safety, (2) mobility, (3) activities (e.g., recreational spaces), (4) opportunities (work and school), and (5) governance. A smart region is a term used to extend the concept of a smart city into both urban and rural settings to promote a sustainable planning approach at the regional level. A direction that must be considered is the adoption of a “Smart Region Mobility Framework” to effectively transform our urban and rural regional transportation networks. This research study focused on the development of the smart region mobility framework for an island region group in the Philippines. The smart region goal is to integrate intelligent transportation system (ITS) platforms such as advanced public transportation system (APTS), advanced traveler information system (ATIS), and advanced rural transportation system (ARTS) to the local public transportation route plans (LPTRP) of the region. The activities include the data collection, analysis, and evaluation of multimodal regional transportation networks and social services infrastructure. The transportation network modeling process follows the four-step transportation planning process of trip generation, trip distribution, modal-split analysis, and trip assignment. Based on the analysis of 6 provinces, 16 cities, and 114 municipalities included in the study, there are two cities identified as smart city candidates. One of the smart city candidates is designated as the smart city regional center. In the context of a smart region, the available social services (e.g., employment opportunities, education, and health services) in the designated smart cities can also be made accessible to connected cities/municipalities through ease of transportation and mobility services in the region. Lastly, the study presented the implementation of data flow architecture of the smart region mobility framework, and the regional traveler information system using mobile and web application services.

scholarly journals Scoring and classifying regions via multimodal transportation networks

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Aaron Bramson ◽  
Megumi Hori ◽  
Bingran Zha ◽  
Hirohisa Inamoto
Keyword(s):  
Public Transportation ◽  
Transportation Networks ◽  
Transportation System ◽  
Dominant Mode ◽  
Multimodal Transportation ◽  
The Road ◽  
Road Systems ◽  
Mode Of Transportation ◽  
Bus Networks

Abstract In order to better understand the role of transportation convenience in location preferences, as well as to uncover transportation system patterns that span multiple modes of transportation, we analyze 500 locations in the Tokyo area using properties of their multimodal transportation networks. Multiple sets of measures are used to cluster regions by their transportation features and to classify them by their synergistic properties and dominant mode of transportation. We use twelve measures collected at five different radii for five distinct combinations of transportation networks to rank locations by their transportation characteristics. We introduce an additional 114 scores derived from the 300 measures to assess, among other things, access to public transportation, the effectiveness of each mode of transportation, and synergies among the modes of transportation. Additionally, we leverage those scores to classify our locations as being train-centric, bus-centric, or car-centric and to uncover geographic patterns in these characteristics. We find that business hubs, despite having low populations, are so conveniently reachable via train and road systems that they consistently achieve the highest sociability and convenience scores. Suburban regions have more serviceable bus systems, but lower connectivity overall resulting in lower reachable populations despite greater local populations. Even though Tokyo has the largest and densest public transportation system in the world we find that the road network consistently dominates the train and bus networks for all accessibility measures.

Optimizing route choice in multimodal transportation networks

2014 ◽  
Vol 41 (9) ◽  
pp. 800-810 ◽  
Author(s):  
Behzad Rouhieh ◽  
Ciprian Alecsandru
Keyword(s):  
Public Transportation ◽  
Travel Behavior ◽  
Traffic Congestion ◽  
Transportation Networks ◽  
Routing Algorithm ◽  
Central Business District ◽  
Subsequent Work ◽  
Traveler Information ◽  
Multimodal Transportation ◽  
Business District

Advanced traveler information systems provide travelers with pre-trip and en route travel information necessary to improve the trip decision making process based on various criteria (e.g., avoiding the negative impacts of traffic congestion, selecting specific travel modes, etc.). This study investigates an adaptive routing methodology for multimodal transportation networks. To integrate transit networks, the model takes into account both the predefined timetables of public transportation services and the variability of travel times. A graph theory based methodology is proposed to capture travel behavior within a multimodal network. The study advances a routing algorithm based on Markov decision processes. Special network modeling elements were defined to allow the developed algorithm to select the most efficient transportation mode at each junction along a given route. The proposed methodology is applied to a small real-world network located in the central business district area of Montreal, Quebec. The network includes bus, subway, and bicycle transportation facilities. The simulations were run under the assumption that users do not use private vehicles to travel between arbitrary selected origin and destination points. The developed routing algorithm was applied to several simulation scenarios. The results identified what is the most efficient combination of transportation modes that the travelers have to use given certain traffic and transit service conditions. Larger and more complex networks of motorized and non-motorized modes with stochastic properties will be investigated in subsequent work.

scholarly journals Organic Transportation Networks: Human-Oriented Renewal of Modern Megapolises

2019 ◽  
Vol 3 (2) ◽  
pp. 294
Author(s):  
Oleksandr Galychyn ◽  
Shqiprim Ahmeti ◽  
Kevser Ustundag
Keyword(s):  
20Th Century ◽  
Network Structure ◽  
Public Transportation ◽  
Transportation Networks ◽  
Transportation Network ◽  
Transportation System ◽  
Topological Complexity ◽  
Relative Location ◽  
Structural Elements ◽  
System Framework

Studies related to the growth of the transportation networks from the second half of the 20th century have constantly been focused on the topological complexity of motorized & public transportation network (internal geometry & dynamics, occupied space, and geographical settings), or the structural properties (complexity of network structure). However, those studies have failed to incorporate the concept of an integrated public-soft transportation network, and the human-oriented transportation system, and its structural elements: soft transportation network, accessible nodes called Transit-Oriented Developments (TODs), healthy neighborhoods and, most importantly, its attributes. Additionally, the relative location (urban geographical settings) haven't been conceptualized in their models.In this paper, the ontological frameworks of an integrated public-soft transportation network and human-oriented transportation system will be proposed. Secondly, the attributes of those networks will be determined by comparing the integrated public-soft transportation network in Finland (Helsinki) with ordinary one in Italy (Rome) through the human-oriented transportation system framework. Thirdly, the applicability of the concept of human-oriented transportation system in Bozcaada (Tenedos) Island will be discussed. Thus, a new conceptual model of the human oriented transportation system will be proposed.

Capturing the significance of place in the lived experience of dementia

2016 ◽  
Vol 16 (5) ◽  
pp. 664-679 ◽  
Author(s):  
Justine McGovern
Keyword(s):  
New York ◽  
Lived Experience ◽  
Social Services ◽  
Public Transportation ◽  
Work Practice ◽  
Social Work Practice ◽  
Dementia Care ◽  
Urban Setting ◽  
Complex Needs ◽  
The Impact

In this article, the author reports on a study exploring the impact of an urban setting on the lived experience of dementia for older couples where one member of each couple was diagnosed with the illness over age 64, the other was the primary care partner, and both were residing together in the greater New York metropolitan area at the time of the research. Certain features of city living, such as accessible medical care, public transportation, and social services, are known to provide substantial instrumental and affective support during challenging times However, how dementia care partnerships transform other aspects of urban environments to their own individual and unpredictable advantage is less documented. By describing how older dementia-affected couples make use of informal features of place to meet complex needs, such as affirming couplehood and sustaining autonomy, the study uncovers links between place and quality of life with dementia. There are implications for dementia care and research. These include deepening understanding of the role of place in dementia, establishing knowledge of place as a component of cultural competence, and implementing policies that support place-based care. Moreover, findings propose pathways to greater inclusivity in knowledge building by promoting creative approaches to data collecting supported by naturalistic inquiry. By adopting a strength perspective and a person-inenvironment approach to service provision, social work practice, and research stand to make a difference in the lives of persons affected by dementia and those who care for them.

scholarly journals Methodical foundations of societal and geographical research of public transportation

2016 ◽  
pp. 58-61
Author(s):  
I. Kolotukha
Keyword(s):  
Social Services ◽  
Public Transportation ◽  
Systematic Approach ◽  
System Analysis ◽  
Transportation System ◽  
Second Phase ◽  
Geographical Research ◽  
Territorial Organization ◽  
Public Transportation System ◽  
The City

The scheme of societal and geographical research methodology on public transportation territorial organization has been worked out. It is viewed upon as a complex socio-economic phenomenon which includes four consecutive stages. It has been determined that when investigating the territorial organization of city public transportation both general and special scientific approaches and methods are used. At the preparatory phase the role and place of public transportation in municipal economy are determined, the nature of public transportation service is analyzed, satisfactoriness and insufficiency of its functions are estimated and, as a result, social services commissioning on the development of public transportation system is defined and the concept of its research is developed. The second phase is a conceptual and informational one. At this phase societal and geographical model of city public transportation is worked out, basic conceptual approaches of research are defined among which are systematic approach, structural analysis, cartographical method and method of historical analysis, etc. The development of such model is preceded by identification of informational basis, data collection and collation in order to accumulate theoretical developments on this issue and the analysis of previous researchers’ works. Literary sources, cartographical sources, statistical and regulatory documents are studied. The third phase is analytical and statistical one which is devoted to the analysis of public transportation structure organization in the city of Kyiv. At this phase the greatest numbers of scientific research methods are used, namely, the structured system analysis method, analytical and statistical method, graph theory method in combination with the method of historical and geographical sectioning, factor analysis, cartographical, comparative geographical, societal geographical zoning methods. Functional and sectoral structure, territorial structure and organizational and management structure in the city of Kyiv and their changes are studied at this stage. The concluding phase is reasoning for the priority areas of the city transportation utilities system development in the city of Kyiv. At this stage projection of city public transportation development is carried out, the areas of city public transportation system improvement in the city of Kyiv are defined. Systematic approach, main ideas of the structuralfunctional, informational and cartographical approaches have the invariable value in the study at this stage.

SenCity – Evaluating Users’ Experiences of Intelligent Lighting for Well-Being in Smart Cities

2018 ◽  
pp. 60-67
Author(s):  
Henrika Pihlajaniemi ◽  
Anna Luusua ◽  
Eveliina Juntunen
Keyword(s):  
Case Studies ◽  
Smart City ◽  
Smart Cities ◽  
Well Being ◽  
Evaluation Methods ◽  
Data Analyses ◽  
Sense Of Security ◽  
System Data

This paper presents the evaluation of usersХ experiences in three intelligent lighting pilots in Finland. Two of the case studies are related to the use of intelligent lighting in different kinds of traffic areas, having emphasis on aspects of visibility, traffic and movement safety, and sense of security. The last case study presents a more complex view to the experience of intelligent lighting in smart city contexts. The evaluation methods, tailored to each pilot context, include questionnaires, an urban dashboard, in-situ interviews and observations, evaluation probes, and system data analyses. The applicability of the selected and tested methods is discussed reflecting the process and achieved results.

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